BankAtlas
U.S. Banking Risk Quarterly
Issue 1 · Q2 2026

Improvement, Unevenly Distributed

BankAtlas U.S. Banking Risk Quarterly — Q2 2026

U.S. banking conditions strengthened year over year, but the gains masked sharply different balance-sheet trends across bank sizes. Stronger institutions sit high in their historical range, while Asset Quality and CRE pressures remain concentrated among smaller banks and relative funding vulnerability continues to rotate across a small, asset-light cohort.

Data through Q2 2026 4,296 U.S. banks 4,286 matched year over year BankAtlas proprietary analytical framework

Contents

2Executive Summary
3Q2 2026 Banking Risk Dashboard
4Did U.S. Banking Conditions Improve in Q2 2026?1–2
5What Drove Banking Conditions in Q2 2026?3–4
6How Did Banks Move Within the Peer-Relative Grade Distribution?5–6
7How Did Banking Conditions Differ by Asset Size?7–8
8Where Is Relative Run Vulnerability Concentrated?9–10
9Where Are Balance-Sheet Pressures Building?11–12
10Did Balance-Sheet Pressures Concentrate Within the Same Banks?13–14
11What Characterizes the Weakest Part of the Distribution?15–16
12How Unusual Are Current Banking Conditions Historically?17–18
13What This Report Will Re-Test in Q3
14Methodology, Definitions & Disclosures

Exhibit numbers run in one sequence across the issue. Numbering is final for this issue.

BankAtlas U.S. Banking Risk Quarterly · Q2 2026

Executive summary

U.S. banking conditions improved year over year through Q2 2026, but the improvement was uneven across institutions and balance-sheet dimensions. Stronger banks sit high in their historical range, while the weakest end remains much closer to normal; smaller institutions continue to face Asset Quality and CRE pressure even as capital and securities positions improve; and relative funding vulnerability remains concentrated in a small, rotating, asset-light cohort.

Five findings

1

Conditions improved, but the advance was uneven

The composite score improved year over year, yet only 43.7% of matched banks improved — a plurality rather than a majority, with the remainder split between deterioration and no material movement. Measured against its own history the median sits comfortably above the middle, while the upper quartile stands near the top of its post-2003 range and the weakest decile remains close to normal.
p4, p12
2

The drivers differed sharply by bank size

Below $10 billion, Asset Quality deterioration was broad — claimable in 4 of 5 reporting bands — and CRE concentration rose, even as capital and securities positions improved. Above $100 billion the pattern inverted: capital weakened while credit-quality and CRE measures improved. The same headline covers materially different balance sheets.
p5, p7, p9
3

Securities-loss recovery was the broadest favorable movement

Securities-loss measures improved across all four major asset cohorts, with roughly 75–78% of banks moving favorably — the only balance-sheet family favorable and claimable everywhere. This is reported as a balance-sheet movement; the report does not attribute the composite improvement to it.
p9
4

Weak standing is persistent, and distinct from run vulnerability

The weak composite tail holds 29.9% of institutions but under a fifth of banking assets, and roughly three-quarters of it remained weak year over year. Only about a quarter of that tail also sits in the elevated relative run-vulnerability watch zone, which is smaller, more asset-light, and turns over faster. Fundamental weakness and acute funding vulnerability are not the same population.
p8, p11
5

Adverse pressures were dispersed, not stacked

Among institutions reporting all six core balance-sheet families, 25.4% showed adverse movement in three or more of them — against what the individual family rates alone would produce. The report finds no evidence of excess accumulation within particular institutions, in the population as a whole or within any size cohort.
p10
Importantly, these adverse balance-sheet pressures did not accumulate within the same institutions more often than expected from their individual prevalence.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

Q2 2026 banking risk dashboard

Conditions improved year over year, but the strength was uneven: stronger institutions sit high in their historical range, while the weakest tail remains closer to normal and relative funding vulnerability continues to rotate across institutions.

System conditions

Banking conditions
63.4th percentile
Median composite 4.0700, against 93 prior quarters
Historical rank · 2003Q1→2026Q1
94-quarter series
Exhibit 18 · p12
Breadth of improvement
43.7% improved
29.2% deteriorated · 27.1% approximately flat
YoY · Q2'25→Q2'26
4,286 matched institutions
Exhibit 2 · p4

Distribution

Upper-end strength
91.4th percentile
75th percentile of the score distribution; the 10th percentile stands at only 54.8
Historical rank · 2003Q1→2026Q1
94-quarter series
Exhibit 18 · p12
Weak composite tail
29.9% of institutions
18.6% of banking assets
Point-in-time · Q2'26
1,284 of 4,296, composite percentile below 30
Exhibit 15 · p11

Persistence and vulnerability

Weak-tail persistence
74.6% remained
Difference against watch-zone persistence has not been formally tested
YoY membership turnover
1,280 in the prior-year tail
Exhibit 15 · p11
Run-vulnerability watch zone
8.1% of institutions
4.7% of banking assets
Point-in-time · Q2'26
349 of 4,296, weak composite AND relative RVI at or above the 90th percentile
Exhibit 9 · p8
Watch-zone persistence
63.1% remained
38.7% of current members are entrants
YoY membership turnover
339 in the prior-year zone
Exhibit 10 · p8

Balance-sheet movement

Broadest favorable exposure move
75–78% favorable
Securities-loss measures, favorable and claimable in all four asset cohorts
YoY · Q2'25→Q2'26
matched institutions, by cohort
Exhibits 11–12 · p9
No unusual stacking of adverse pressures
25.4% of complete-case banks had three or more adverse balance-sheet movements, against 24.9% expected from the individual family rates.
YoY · Q2'25→Q2'26 · 4,090 institutions reporting all six core families in both periods · Exhibits 13–14 · p10

Every tile summarizes a governed finding already published on p4-p12. No new calculation, threshold, ranking or interpretation originates on this page. Each tile carries its own basis and denominator: year-over-year change, point-in-time cross-section and historical rank appear side by side here, and the populations behind them differ. The weak composite tail and the run-vulnerability watch zone are separate definitions over separate denominators and are not comparable cohorts despite sharing a visual form.

No grade tile and no dashboard composite appear on this page. Grades are peer-relative and their interpretation is governed on p6; constructing a headline index whose only home is this page would add a number the report has not tested.

BankAtlas U.S. Banking Risk Quarterly · Q2 2026

Did U.S. banking conditions improve in Q2 2026?

Banking conditions improved year over year in Q2 2026. The composite score distribution shifted upward at every reported percentile, and all four major asset-size cohorts moved in the same direction.

Exhibit 1

Composite score distribution, 2025Q2 → 2026Q2
p10
+0.0117
p25
+0.0379
p50
+0.0333
p75
+0.0196
p90
+0.0200

Grey mark is 2025Q2, teal mark is 2026Q2; the connecting band is the shift. Measured on the absolute composite score, not on grades — grades are peer-relative and their distribution is close to fixed by construction, so only the absolute score can show whether the underlying distribution moved. Matched population: 4,286 institutions reporting in both periods.

Exhibit 2

Breadth of composite movement
43.7% improved
27.1% flat
29.2% deteriorated

Institutions are classified using the report’s calibrated flat band — the 25th percentile of absolute historical year-over-year change, excluding the reporting period — recomputed at the level being classified (0.0583 for individual banks, from 78,253 bank-quarters). The cohort-level threshold (0.0204) governs cohort aggregates and is not applied to individual institutions: averaging a cohort shrinks dispersion, so using the aggregate threshold bank by bank would mark 90% of institutions as having moved.

CohortBanksMean changeImprovedFlatDeterioratedCohort movement
<$1B3,289+0.0201743.0%27.0%29.9%below threshold
$1-10B851+0.0334545.8%27.1%27.0%material
$10-100B115+0.0589750.4%28.7%20.9%material
>$100B31+0.0184438.7%25.8%35.5%below threshold

Takeaway

Generated from the frozen narrative order
Direction
Banking conditions improved year over year in Q2 2026. The composite score distribution shifted upward at every reported percentile, and all four major asset-size cohorts moved in the same direction.
Breadth
Improvement was the largest single outcome but not a majority: 43.7% of 4,286 matched institutions improved, 29.2% deteriorated and 27.1% were approximately flat. The aggregate move therefore reflects a plurality of institutions moving favorably rather than a broad advance across the population.
Magnitude
Cohort movement met the calibrated materiality threshold for $1-10B, $10-100B, and remained below it for the others. The magnitude of improvement differed by size, which sets up materially different category-level drivers beneath the aggregate result.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

What drove banking conditions in Q2 2026?

Banking conditions improved across all four size cohorts year over year, but the sources of improvement differed sharply by bank size — and attribution was materially stronger among smaller institutions than among larger ones.

Exhibit 3

Cohort × category driver matrix
Cohort Capitalization Asset Quality Earnings Funding Concentration Composite
<$1B
+0.0375+0.00940N
-0.0705-0.01725
+0.1365+0.02041
+0.0290+0.00582
+0.0116+0.00173N
+0.02017n=3,289
$1-10B
+0.0685+0.01710
-0.1061-0.02624
+0.2023+0.03034
+0.0583+0.01164
+0.0041+0.00062N
+0.03345n=851
$10-100B
+0.0174+0.00435
+0.0319+0.00797
+0.2000+0.03000
+0.0278+0.00556
+0.0739+0.01109N
+0.05897n=115
>$100B
-0.1183-0.02957N
+0.1720+0.04301
+0.1022+0.01532
-0.0516-0.01032
+0.0000+0.00000N
+0.01844n=31
Claimable Diagnostic only N Narrow breadth — moved for <33.3% of banks No marker — no signal

Large figure is the year-over-year change in the category score; small figure is that category’s contribution to the cohort’s composite change. Breadth measures participation in a category movement, not claimability. Some categories — especially Concentration Risk — are mechanically coarse and therefore move for relatively few banks across all cohorts.

Exhibit 4

Contribution to composite change, by cohort

<$1B

composite +0.02017 · below materiality threshold · n=3,289 · 55.7% improving
Earnings +0.02041 Asset Quality -0.01725 Capitalization △ +0.00940 Funding +0.00582 Concentration △ +0.00173 Composite +0.02017

$1-10B

composite +0.03345 · material · n=851 · 58.9% improving
Earnings +0.03034 Asset Quality -0.02624 Capitalization +0.01710 Funding +0.01164 Concentration △ +0.00062 Composite +0.03345

$10-100B

composite +0.05897 · material · n=115 · 60.9% improving
Earnings +0.03000 Concentration △ +0.01109 Asset Quality +0.00797 Funding +0.00556 Capitalization +0.00435 Composite +0.05897

>$100B

composite +0.01844 · below materiality threshold · n=31 · 61.3% improving
Asset Quality +0.04301 Capitalization △ -0.02957 Earnings +0.01532 Funding -0.01032 Concentration △ +0.00000 Composite +0.01844

Bars step cumulatively from zero to the cohort composite. Muted, dashed bars are diagnostic-only contributors — shown rather than hidden, because withholding the largest measured driver without displaying it would let the remaining bars imply a complete explanation. △ marks narrow breadth.

Cohort takeaways

Generated from the frozen selection rule
<$1B
<$1B banks improved year over year (+0.02017), but remained just below the calibrated materiality threshold (0.02039, short by 0.00022). Earnings & Profitability broadly strengthened and was the largest contributor that met the report's claim standard (+0.02041). Asset Quality weakened and offset part of the move (-0.01725).
$1-10B
$1-10B banks improved materially year over year (+0.03345). Earnings & Profitability broadly strengthened and was the largest contributor that met the report's claim standard (+0.03034). Asset Quality weakened and offset part of the move (-0.02624).
$10-100B
$10-100B banks improved materially year over year (+0.05897). Concentration Risk strengthened and was the largest contributor that met the report's claim standard (+0.01109). That movement was concentrated: it affected 19.1% of banks in the cohort, of which 86.4% moved in the same direction. The largest measured contributor was Earnings & Profitability (+0.03000), which is reported as diagnostic only because its movement depends materially on a metric under correction.Largest measured driver withheld as diagnostic only
>$100B
>$100B banks improved year over year (+0.01844), but remained just below the calibrated materiality threshold (0.02039, short by 0.00195). Capitalization & Leverage weakened and was the largest contributor that met the report's claim standard (-0.02957). That movement was concentrated: it affected 32.2% of banks in the cohort, of which 90.1% moved in the same direction. The largest measured contributor was Asset Quality (+0.04301), which is reported as diagnostic only because its movement depends materially on a metric under correction.Largest measured driver withheld as diagnostic only
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

How did banks move within the peer-relative grade distribution?

Year-over-year grade migration was broadly balanced, with roughly one-fifth of matched institutions moving in each direction and most migrations reflecting substantive changes in peer-relative position.

Exhibit 5

Peer-relative grade migration, 2025Q2 → 2026Q2
57.4%
Unchanged
21.6%
Improved
21.0%
Deteriorated
17.9%
of movers changed 2+ grades
2025Q2 → A B C D E Row total
A 46771.6% 14722.5% 304.6% 81.2% 00.0% 652
B 16110.7% 96164.1% 26517.7% 996.6% 140.9% 1,500
C 172.0% 28233.1% 34540.4% 17420.4% 354.1% 853
D 10.1% 9511.1% 20123.4% 43650.8% 12614.7% 859
E 10.2% 92.1% 174.0% 14233.6% 25360.0% 422

Denominator: 4,286 matched banks — institutions reporting in both periods, from a 4,477-bank prior population (95.7% matched). Cells show bank count and share of the row. Shaded diagonal = unchanged; green = improved; red = deteriorated. Largest corridors: C→B 282, B→C 265, D→C 201. Cross-zone movement was close to offsetting: A/B→C/D/E 416 against C/D/E→A/B 405.

Boundary proximity. Grades are assigned from the unrounded cohort percentile, so an institution sitting fractions of a point from a cutpoint can change grade on a small move. Banks beginning within one percentile point of a grade boundary were 2.06× as likely to change grade as other banks (21.4% of movers against 10.4% of non-movers). However, boundary-adjacent movers still shifted a median 12.0 percentile points — against 4.1 for institutions whose grade did not change — indicating that proximity amplified migration frequency rather than producing trivial rounding-driven changes. These movements are disclosed, not discounted.

Exhibit 6

Current peer-relative grade distribution, 2026Q2
A
647 · 15.1%
B
1,503 · 35.0%
C
859 · 20.0%
D
859 · 20.0%
E
428 · 10.0%

Denominator: 4,296 full eligible population — a different denominator from Exhibit 5, which requires two observations per institution. The two are stated separately and never combined. This distribution describes where the population sits within its peer groups today; because the grade bands are defined on cohort percentile, it is not a measure of whether the banking system is historically stronger or weaker.

Takeaway

Generated from the frozen narrative order
Migration
Most banks remained in the same peer-relative grade year over year, while institutions that moved were almost evenly divided between improvement and deterioration. The balance of migration reinforces that BankAtlas grades measure changes in relative standing rather than absolute changes in system-wide banking conditions.
Magnitude
Most movements were one grade, although 326 institutions moved two or more grades, indicating meaningful repositioning within the peer distribution for a material minority of movers.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

How did banking conditions differ by asset size?

Improvement was not uniform along the size spectrum. Asset Quality weakened broadly below $10 billion and reversed above it, while Capitalization moved the opposite way at the largest institutions.

Exhibit 7

Year-over-year movement by asset-size reporting band
Reporting band Capitalization Asset Quality Earnings Funding Concentration Composite
<$250Mwithin <$1B
+0.0212N
-0.0863
+0.1143
+0.0158
+0.0034N
+0.00544n=1,632
$250-500Mwithin <$1B
+0.0448N
-0.0462
+0.1439
+0.0289
+0.0260N
+0.03097n=922
$500M-1Bwithin <$1B
+0.0646N
-0.0674
+0.1765
+0.0588
+0.0116N
+0.03931n=735
$1-3Bwithin $1-10B
+0.0743
-0.1141
+0.1993
+0.0532
+0.0025N
+0.03120n=601
$3-10Bwithin $1-10B
+0.0547N
-0.0867
+0.2095
+0.0704
+0.0080N
+0.03888n=250
$10-100Bwithin $10-100B
+0.0174
+0.0319
+0.2000
+0.0278
+0.0739N
+0.05897n=115
>$100Bwithin >$100B
-0.1183N
+0.1720
+0.1022
-0.0516
+0.0000N
+0.01844n=31
Claimable Diagnostic only N Narrow breadth No marker — no signal

Cells show the year-over-year change in the absolute category score. Contribution to composite is deliberately not repeated here — it is the subject of Exhibit 1. Bands are reporting subdivisions nested inside the existing BankAtlas size cohorts; they do not alter peer-percentile construction, grade assignment or any production scoring cohort, and sub-band counts reconcile exactly to their parent cohort.

Claimability is evaluated independently at each reporting level. A category that is claimable for a broader BankAtlas cohort may be diagnostic-only in a nested size band if defect-affected metrics represent a larger share of that band’s measured contribution. Splitting a cohort does not merely divide its sample; it changes the metric mix inside each band. The 35 band×category tests form their own multiple-testing family and inherit nothing from the cohort-level results.

Exhibit 8

Composite movement by asset-size band
<$250M
+0.00544
$250-500M
+0.03097
$500M-1B
+0.03931
$1-3B
+0.03120
$3-10B
+0.03888
$10-100B
+0.05897
>$100B
+0.01844

Vertical rule marks the calibrated materiality threshold (0.02039). Values close to the rule on either side should not be read as categorically different; the threshold is a calibrated reference, not a cliff.

Takeaways

Generated from the frozen narrative hierarchy
Asset Quality
Asset Quality deterioration was broad below $10 billion, appearing as a claimable negative movement in 4 of 5 sub-$10B reporting bands and reaching its largest decline among banks with $1-3B in assets (-0.1141). Above $10 billion the measured direction reversed, although the favorable move among banks above $100 billion remains diagnostic-only.
Capitalization
Capitalization improved across the smaller and midsize reporting bands but deteriorated among banks above $100 billion (-0.1183), where the decline was claimable.
Earnings
Measured Earnings improvement was progressively larger across the sub-$10B size bands, but most band-level Earnings results remain diagnostic-only under the defect-dependence gate.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

Where is relative run vulnerability concentrated?

The watch zone is numerous but asset-light, concentrated among the smallest institutions — and while its size barely moved year over year, more than a third of its members are new.

Exhibit 9

Weak fundamentals × elevated relative RVI, 2026Q2
Lower relative RVI
Higher relative RVI — P90+
Weaker
composite
position
Weaker composite + lower relative RVI
935
21.8% of institutions
14.0% of assets
Weaker composite + higher relative RVI
349
8.1% of institutions
4.7% of assets
Stronger
composite
position
Stronger composite + lower relative RVI
2,928
68.2% of institutions
79.2% of assets
Stronger composite + higher relative RVI
84
2.0% of institutions
2.2% of assets

Axes use existing BankAtlas production thresholds, not cutoffs selected for this report: rvi_pctile >= 90 and comp_pctile < 30. Both axes are PERCENTILE-defined positions in a contemporaneous peer distribution, not absolute economic cutoffs. Quadrant boundaries move with the population. Asset share is shown alongside institution count because the share of banks above the RVI P90 line is close to fixed by construction.

Uninsured deposits, within size cohorts. The only balance-sheet measure available that feeds neither leg of the zone definition, so the only one that can describe the zone rather than restate it. It is shown within cohorts, never pooled: 268 of the zone’s 349 institutions are below $1 billion, and that measure is reported by almost none of them, so a pooled figure would be a large-bank statistic presented as covering everyone.
$1-10B
Watch zone20.53%
All others26.51%
70 of 70 zone banks report

Reported only for $1-10B, the sole cohort where both the reporting coverage and the number of watch-zone institutions support a comparison. Suppressed: <$1B (0.3% cohort coverage, 2 zone banks reporting); $10-100B (99.2% cohort coverage, 9 zone banks reporting); >$100B (100.0% cohort coverage, 2 zone banks reporting). Among $1–10 billion institutions, where uninsured-deposit reporting is sufficiently complete, watch-zone banks show lower median uninsured-deposit reliance than other banks in the same size cohort. Coverage is insufficient to generalize this relationship to the broader watch-zone population. Liquidity, core and brokered deposits and unrealized losses are excluded from this comparison because they are inputs to the run-vulnerability index itself, and CRE because it is an input to the composite; reporting them here would restate the zone definition rather than characterize its members.

Exhibit 10

Watch-zone membership turnover, 2025Q2 → 2026Q2
Remained in zone
214
Entered
135
Exited
125

Matched population 4,286. Zone size 339 → 349 (+10 institutions). Entry and exit describe movement of institutions across a peer-relative boundary. They do not measure a change in the level of system-wide funding risk.

A stable zone size does not imply stable institutions. The count barely moved, yet 125 institutions left the zone and 135 joined it. Reporting only the size would have described a static picture of a substantially rotating population.

Takeaways

Generated from the frozen narrative order
Concentration
The zone is numerous but asset-light: 349 institutions, 8.1% of the population, holding 4.7% of banking assets. 268 of 349 hold less than $1 billion in assets.
Turnover
The size of the peer-relative watch zone was broadly stable year over year, moving from 339 to 349 institutions, but its membership rotated substantially: only 63.1% of the prior-year cohort remained, while 38.7% of the current cohort were new entrants.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

Where are balance-sheet pressures building?

Securities losses eased broadly across the size spectrum, but credit and concentration pressure rose among smaller banks — and the largest institutions moved differently again.

Exhibit 11

Balance-sheet pressure by asset cohort
Cohort CRECRE concentration Non-performing loansCredit deterioration Liquid assetsLiquidity Core depositsFunding stability Combined unrealizedSecurities losses EquityCapital
<$1B
+0.113level 40.09
+0.000level 0.42
-0.092level 2.06
-0.380level 76.04
+3.411level -7.61
+0.548level 10.62
$1-10B
+0.340level 50.10
+0.024level 0.52
-0.133level 1.30
+0.200level 73.83
+2.869level -7.66
+0.462level 10.38
$10-100B
-0.001level 41.98
+0.002level 0.66
-0.095level 1.25
+0.490level 72.98
+2.337level -9.09
+0.162level 11.59
>$100B
-0.290level 11.54
-0.071level 0.84
-0.067level 5.16
+0.150level 69.70
+3.122level -12.45
-0.112level 9.73
Claimable No marker — no signal Green = favorable movement, red = adverse, by each measure’s own direction

Change is the median of bank-level year-over-year changes and therefore need not equal the difference between the two cross-sectional level medians. Color is set by each measure’s frozen direction, so a rise in equity and a rise in CRE are colored oppositely despite both being increases.

What was excluded, and why. CET1 was excluded because the deployed field contains implausible observations and only marginal small-bank coverage; remediation is handled separately from the quarterly-report pipeline. NDFI was excluded on coverage — reported by 14.7% of institutions system-wide and 29.7% even within $1–10 billion. Uninsured deposits cannot support a system-wide claim and appear only in the separately scoped panel below. Combined unrealized losses are winsorized at the 0.5th and 99.5th percentiles under a rule frozen before results, calibrated on 593,129 historical observations.

Note on units and denominators

Each cell shows the median year-over-year change above the current median level. The measures do not share a denominator:

  • CRE concentration — % of loans
  • Non-performing loans — % of loans
  • Liquid assets — % of assets
  • Core deposits — % of assets
  • Unrealized securities losses — % of tangible equity
  • Equity capital — % of assets

Unrealized securities losses are a negative number, because the portfolios are in a net loss position. A positive change therefore means the loss moved toward zero — losses shrank. Note also that this row divides by tangible equity (total bank equity capital less intangible assets), while the capital row divides by total equity; the two rows are not directly comparable.

Clarification added after initial publication. No reported value or finding changed. Measure Definitions & Denominators →

Exhibit 12

Breadth of balance-sheet movement
CRE, % of loans
<$1B
36.9
21.9
41.2
$1-10B
31.3
24.0
44.7
$10-100B
28.8
43.2
28.0
>$100B
40.6
50.0
9.4
Non-performing loans, %
<$1B
32.8
30.4
36.8
$1-10B
30.2
28.2
41.6
$10-100B
33.6
33.6
32.8
>$100B
50.0
34.4
15.6
Liquid assets, % of assets
<$1B
29.1
27.7
43.2
$1-10B
15.0
41.6
43.4
$10-100B
20.5
44.1
35.4
>$100B
43.8
9.3
46.9
Core deposits, % of assets
<$1B
28.4
31.1
40.5
$1-10B
39.1
29.6
31.3
$10-100B
43.3
26.8
29.9
>$100B
40.6
34.4
25.0
Combined unrealized, % of equity
<$1B
75.4
20.5
$1-10B
77.0
19.4
$10-100B
77.6
16.0
>$100B
78.1
12.5
9.4
Equity, % of assets
<$1B
65.7
19.1
15.2
$1-10B
60.5
23.8
15.7
$10-100B
42.5
33.9
23.6
>$100B
15.6
40.6
43.8
Favorable Approximately flat Adverse

Share of matched institutions moving favorably, approximately flat, or adversely, using a flat band calibrated per measure from its own historical bank-level year-over-year dispersion, excluding the reporting period.

Supplemental

Selected reporting exposure — banks ≥$1 billion

Uninsured deposits, % of deposits

Reporting universe only. Sub-$1B suppressed: reported by 0.3% of that cohort. Not a system-wide measure.
CohortLevelChangeAdverseStatus
$1-10B26.06%+0.73747.9%claimable
$10-100B31.66%+0.30742.1%no signal
>$100B33.13%+0.89650.0%claimable

Uninsured-deposit reliance rose among reporting institutions, adversely for roughly half of banks above $100 billion. This runs counter to the broader balance-sheet improvement and is shown separately because its reporting population is not the population used elsewhere on this page.

Takeaways

Generated from the frozen narrative order
Securities
Securities losses showed the broadest favorable balance-sheet movement, improving across all four cohorts and for roughly three-quarters of matched banks (75–78% favorable).
Smaller banks
Smaller and midsize banks strengthened on capital while non-performing loans and CRE concentration both rose, so the improvement in their balance sheets was not uniform across pressure families.
Largest banks
The largest banks diverged sharply on capital, credit quality and CRE exposure, even as securities-loss conditions improved across the size spectrum.
Liquidity
Liquidity deteriorated where the evidence supports the claim ($1-10B); the movement did not meet the claim standard in the other cohorts and is not generalised.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

Did balance-sheet pressures concentrate within the same banks?

We find no evidence that adverse balance-sheet movements accumulated within institutions more frequently than would be expected from the individual pressure-family rates.

Exhibit 13

Observed versus independently expected pressure accumulation
0 adverse
10.4% observed · 10.3% expected
1 adverse
30.8% observed · 30.2% expected
2 adverse
33.4% observed · 34.6% expected
3 adverse
19.5% observed · 19.2% expected
4 adverse
5.3% observed · 5.1% expected
5 adverse
0.6% observed · 0.6% expected
6 adverse
0.0% observed · 0.0% expected
Observed Expected if pressure families moved independently
25.4%
observed with 3+ adverse
24.9%
expected if independent
3.4
chi-square, 6 df
1.21pp
largest cell deviation

Each bank is scored on how many of the six core pressure families moved adversely year over year, using the same matched panel, the same measure-specific flat bands and the same direction contract as Exhibit 11. No new threshold is introduced and no stress cut-off is defined. The expected distribution is the Poisson-binomial implied by each family’s own observed adverse rate — what the count would look like if the families moved independently within institutions.

Why this comparison is necessary. Four of the six families moved adversely for roughly 40% of banks. At those rates an average count near 1.8, and a quarter of banks showing three or more adverse families, is what arithmetic alone produces. Publishing the distribution without the independent benchmark would present the underlying prevalence back to the reader as though it were a concentration result.

Exhibit 14

Pressure accumulation by asset cohort
CohortBanksMean adverse3+ observed3+ expectedChi-square
<$1B3,1131.8225.9%25.5%6.5
$1-10B8321.7925.4%24.2%3.1
$10-100B1141.5415.8%17.4%3.2
>$100B311.4516.1%14.2%1.5

The benchmark is rebuilt within each cohort from that cohort’s own six adverse rates, so unequal rates across sizes cannot create or mask apparent dependence in the pooled figure. Every cohort fits its own benchmark: the largest chi-square is 6.5 against a 5% critical value of 12.59 at 6 degrees of freedom. Percentage-point cell deviations are scale-dependent and are reported for transparency only. In $10-100B, >$100B a single institution shifts a share by several points, so the chi-square, which carries the sample size, decides.

Takeaway

Generated from the frozen narrative order
Dispersion
Balance-sheet deterioration was dispersed rather than unusually concentrated within a subset of institutions. Although 25.4% of complete-case banks experienced adverse movement in three or more of the six core pressure families, an independent benchmark based on the observed family-level rates predicts 24.9%. The frequency of multi-family deterioration therefore appears consistent with the underlying prevalence of individual pressures rather than excess within-bank accumulation.
Size
Differences in average pressure counts across bank sizes are explained by differences in the underlying family-level adverse rates, not by greater within-bank stacking of pressures.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

What characterizes the weakest part of the distribution?

The weak tail is institution-heavy but asset-light, persistent from one year to the next, and distinguished by how it funds itself rather than by the exposures that define its grade.

Exhibit 15

How large — and how persistent — is the weak end of the distribution?
1,284
banks in the weak tail
29.9%
of institutions
18.6%
of banking assets
969
below $1 billion
74.6%
remained year over year
Remained in tail
955
Entered
329
Exited
325

Tail defined by comp_pctile < 30, the production A–E banding cutpoint separating D/E — a position in a contemporaneous peer distribution, not an absolute economic threshold. Membership moved from 1,280 to 1,284 institutions. Entry and exit describe movement across a peer-relative boundary. A bank can cross because it changed, because its peers changed, or both. Grade composition (D 856, E 428) is descriptive metadata only: the percentile rule is the D/E boundary, so the mix is derived rather than evidence.

Weak standing is not the same as acute run vulnerability. 349 institutions — 27.2% of the weak tail — also met the elevated-relative-RVI criterion. Roughly three-quarters of the weak composite tail does not simultaneously sit in that watch zone, so the two populations answer different surveillance questions and should not be read as one cohort.

Exhibit 16

Independent funding characteristics of the weak tail
Core deposits, % of assets
CohortWeak tailAll othersTail banks
<$1B72.7777.02969
$1-10B67.6576.65268
$10-100B67.7475.8238
>$100Bsuppressed — only 9 banks in this cohort's tail, below the minimum of 20
Cost of deposits, %
CohortWeak tailAll othersTail banks
<$1B2.472.11966
$1-10B2.682.27268
$10-100B2.592.2638
>$100Bsuppressed — only 9 banks in this cohort's tail, below the minimum of 20
Uninsured deposits, % of deposits
CohortWeak tailAll othersTail banks
<$1Bsuppressed — cohort reporting coverage below 50%
$1-10B23.2427.70258
$10-100B30.3032.3938
>$100Bsuppressed — only 9 banks in this cohort's tail, below the minimum of 20

Compared within size cohort, never pooled, because the tail is 75% sub-$1B and several of these measures vary strongly with size. Suppressed cells name the gate that failed rather than appearing blank.

Descriptors are screened against the composite definition before use. Measures contributing to the BankAtlas composite are treated as definitional and are not presented as independent characteristics of the weak tail — describing the tail by the exposures that defined it would restate the definition rather than characterize its members. Excluded on that basis: CRE, % of loans, Non-performing loans, %, Liquid assets, % of assets, Equity, % of assets. Neither core-deposit reliance nor deposit cost enters the composite, so both are genuine independent evidence.

Takeaways

Generated from the frozen narrative order
Character
Weak composite standing is persistent but is not synonymous with acute run vulnerability. The weak tail is disproportionately composed of smaller institutions — 29.9% of banks holding 18.6% of assets — and is independently associated with lower core-deposit funding and higher deposit costs, while only 27.2% also falls into the elevated-relative-RVI watch zone.
Persistence
Weak composite standing was more persistent year over year than elevated relative run vulnerability: 74.6% of the weak-tail cohort remained in the tail, against 63.1% persistence in the RVI watch zone. The difference between these rates has not been formally tested.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

How unusual are current banking conditions historically?

Conditions sit above the historical middle, but the system’s strength is concentrated among stronger institutions — the weakest decile remains close to its historical norm.

Exhibit 17

BankAtlas composite conditions through time, 2003Q1–2026Q2
2.69 3.13 3.58 4.02 4.46 2004 2008 2012 2016 2020 2024 2026
75th percentile Median 25th percentile 10th percentile

Higher score = stronger. Absolute composite score only; grade shares and aggregate run-vulnerability are excluded because both are defined against a contemporaneous peer distribution, so a historical rank of either would measure the construction rather than the banking system. Dashed line marks the reporting quarter.

One model across the whole series. The composite was solved separately within five eras of the current panel and returns identical weights each time (0.2500 / 0.2500 / 0.2000 / 0.1500 / 0.1500, R² = 1.000000, maximum spread 1.3e-13). The history is therefore a single-pass backcast under the current methodology, not corrected recent quarters spliced onto legacy scores.

Exhibit 18

Where does Q2 2026 sit in its own history?
75th percentilestronger quartile boundary
91.4percentile of 93 quarters
Medianhalf of banks above
63.4percentile of 93 quarters
25th percentileweaker quartile boundary
61.3percentile of 93 quarters
10th percentilelower tail
54.8percentile of 93 quarters
Dispersion (IQR)spread between p25 and p75
58.1percentile of 93 quarters
Dispersion (SD)cross-sectional standard deviation
69.9percentile of 93 quarters

Each bar is the share of the 93 prior quarters falling below the current reading; the vertical rule marks the historical midpoint. The scored population ranges from 4,296 to 8,445 institutions across the series and stands at 4,296 today — the bank population has roughly halved since 2003 through consolidation, so a historical comparison spans a shrinking and changing population, not a fixed panel of institutions.

Weakest quarters on record
QuarterMedian compositeBanks scored
2009Q43.69007,321
2009Q33.79007,393
2010Q43.80006,999
2009Q23.83007,476
2008Q43.84507,568
2010Q33.87007,094

Listed because they emerged from the series, not selected in advance: the six lowest median readings in 94 quarters all fall in 2008–2010. They are shown for scale only. Nothing here equates the current environment with those periods, and no future outcome is inferred from historical similarity.

Takeaways

Generated from the frozen narrative order
Level
Current banking conditions sit above the historical middle but not at an extreme: the Q2 2026 median composite score of 4.0700 stands at the 63.4th percentile of 93 quarterly observations since 2003.
Tail
Q2 improvement was broad across the score distribution year over year, but the system’s historical strength is concentrated among stronger institutions. The upper quartile stands near the top decile of its post-2003 history (91.4th percentile), while the weakest decile remains close to its historical middle (54.8th).
Dispersion
Cross-sectional dispersion is somewhat wider than usual — the interquartile range sits at the 58.1th percentile and the standard deviation at the 69.9th — consistent with the stronger end advancing further than the weaker end.
BankAtlas U.S. Banking Risk Quarterly · Q2 2026

What this report will re-test in Q3

Each finding published in this issue is registered here with the conditions that would confirm or overturn it — fixed now, before the next quarter’s data exists.

Registry

8 findings carried forward to Issue 2
RT-01

Asset Quality deterioration below $10 billion

Negative and claimable in 4 of 5 sub-$10B reporting bands; largest decline $1-3B (-0.1141).
Issue 2 will test whether: Does the deterioration persist on the same year-over-year basis?
Persists ifSame adverse sign in a majority of sub-$10B bands and the claim standard cleared.
Reverses ifSign turns favorable in a majority of sub-$10B bands and the claim standard cleared.
Exhibit 7 (p7) · basis: YoY, same-quarter
RT-02

Capital divergence by size

Positive in every band below $100B; -0.1183 and claimable at >$100B.
Issue 2 will test whether: Does the sign difference between the smaller bands and >$100B remain?
Persists ifOpposite signs retained between sub-$100B bands and >$100B, with the >$100B result claimable.
Reverses ifSigns align across the size spectrum, or the >$100B sign turns positive and clears.
Exhibits 3-4, 7 (p5, p7) · basis: YoY, same-quarter
RT-03

Broad securities-loss recovery

Favorable and claimable in all four cohorts; 75-78% of banks favorable.
Issue 2 will test whether: Does the improvement persist, or normalize toward no movement?
Persists ifFavorable and claimable in a majority of cohorts with breadth above half.
Reverses ifAdverse and claimable in a majority of cohorts.
Exhibits 11-12 (p9) · basis: YoY, same-quarter
RT-04

Uninsured-deposit pressure, reporting universe only

Rising and claimable in $1-10B, >$100B; adverse for 50.0% of banks above $100B.
Issue 2 will test whether: Does the increase persist WITHIN the reporting universe?
Persists ifAdverse and claimable in at least one reportable cohort, reported only for institutions of $1 billion or more.
Reverses ifFavorable and claimable in the reportable cohorts.
Never generalised to the full system. Sub-$1B reporting coverage is 0.3%, so a system-wide statement is not available at any confidence.
p9 supplemental · basis: YoY, institutions >= $1B only
RT-05

Run-vulnerability watch-zone rotation

63.1% of the prior-year zone remained; 135 entered and 125 exited on a near-stable zone size.
Issue 2 will test whether: Does membership continue to rotate at a similar rate?
Persists ifPersistence within roughly ten points of the current rate, with entry and exit of comparable scale.
Reverses ifPersistence moves materially, or zone size changes while turnover collapses.
Membership turnover only. Aggregate RVI level is never re-tested: it is standardized within cohort and quarter and carries no through-time meaning.
Exhibit 10 (p8) · basis: YoY membership, peer-relative
RT-06

Weak-tail persistence

74.6% of the weak composite tail remained; 27.2% of the tail also met the elevated-relative-RVI criterion.
Issue 2 will test whether: Does tail persistence hold, and does its overlap with the watch zone change?
Persists ifPersistence within roughly ten points of the current rate.
Reverses ifPersistence falls materially, indicating the weak tail has become a rotating rather than a stable population.
Exhibits 15-16 (p11) · basis: YoY membership, peer-relative
RT-07

No excess multi-family pressure concentration

25.4% of complete-case banks showed three or more adverse families against 24.9% expected under independence (chi-square 3.4 on 6 df).
Issue 2 will test whether: Does Q3 produce genuine excess stacking?
Persists ifObserved distribution again indistinguishable from the independent benchmark, within cohort as well as pooled.
Reverses ifObserved 3+ share exceeds the independent benchmark by more than the goodness-of-fit test tolerates.
The benchmark is rebuilt from Q3's OWN marginal rates. Re-using this quarter's expectation would test the wrong hypothesis.
Exhibits 13-14 (p10) · basis: YoY, complete case
RT-08

Historical distribution divergence

Upper quartile at the 91.4th percentile of its post-2003 history against 54.8th for the weakest decile; dispersion at the 58.1th.
Issue 2 will test whether: Does the lower tail close the gap, or does dispersion widen further?
Persists ifThe gap between the upper-quartile and lower-decile historical ranks remains of similar width.
Reverses ifThe lower-decile rank rises toward the upper-quartile rank, or dispersion falls back to its historical middle.
Absolute composite score only. Grade shares are never used for a historical claim.
Exhibits 17-18 (p12) · basis: Absolute score, 94-quarter history

Shared outcomes

Applied identically to every row
no signalThe measure does not clear the report's claim standard in Q3. Recorded as no signal, not as a reversal: failing to detect a movement is not evidence that the movement stopped.
not comparableThe comparison is ruled inadmissible in Q3 — by the seasonality and construction guard, by a coverage failure, or by a change in the reporting universe. Recorded as not comparable and excluded from the persistence record rather than forced onto a different basis.

Stating these once prevents a row from quietly defining persistence differently from its neighbour, and keeps a failure to detect movement from being recorded as evidence that movement stopped.

BankAtlas U.S. Banking Risk Quarterly · Q2 2026

Methodology, definitions and disclosures

The controls governing every claim in this issue, in the order a reader would need them: what the data is, how a result becomes a finding, what the measures cannot say, what was transformed or excluded, and what makes the history comparable.

Contents

20 controls in 5 sections
Data and comparison basis
  • Authoritative source and vintage
  • Comparison basis
  • Score direction
  • Population and matching
  • Cohort assignment
  • Reporting coverage requirement
Statistical controls
  • Claim standard
  • Materiality calibration
  • Breadth
  • Directional consistency
  • Attribution and reconciliation
Model and reporting controls
  • Defect dependence and diagnostic-only results
  • Reporting subdivisions versus production peer groups
  • Peer-relative measures and what they cannot say
  • Definitional screening of descriptors
  • Exhibit selection
Transformations and exclusions
  • Winsorization
  • Excluded measures
Historical comparability
  • Historical comparability and the lineage test
  • Changing bank population

Controls

Data and comparison basis

Authoritative source and vintage
All analytical values derive from the accepted quarterly panel produced by the BankAtlas pipeline for the reporting vintage, together with the deployed history dataset. Intermediates are bound to that source by provenance stamp, and a consumer refuses to run against an intermediate built from a different one, so a page cannot silently report a prior model's numbers as current.
Comparison basis
Category movement and composite change are measured year over year, Q2 2025 to Q2 2026. Quarter-over-quarter composite comparisons are excluded: several contributing metrics are year-to-date flows whose quarter-of-year position creates movement that is an artifact of the calendar rather than of bank condition. Same-quarter year-over-year comparison neutralizes that.
Score direction
A higher BankAtlas score indicates greater strength. A positive change is an improvement. This is the opposite convention to supervisory-style scales where higher numbers denote greater risk.
Population and matching
All change figures use the matched set: institutions reporting in both the current and prior-year period. Bank-level change is computed first and cohort aggregates second, so that entries and exits cannot appear as economic movement.
Cohort assignment
Size cohorts are assigned once, on the prior period, and held fixed across the comparison. Assigning on the current period instead would let banks that grew across a cohort boundary re-bucket mid-comparison, changing cohort composition while appearing to change cohort condition.
Reporting coverage requirement
A measure is reported for a group only where enough institutions in that group actually report it: at least half the cohort, and at least twenty reporting institutions in the subgroup described. This is a REPORTABILITY requirement, not a significance threshold, and it binds before the statistical and defect gates — a gate cannot adjudicate a quantity that was never measured. Suppressed cells name the requirement they failed rather than appearing blank.

Statistical controls

Claim standard
A result is described as a finding only if it passes the report's cross-sectional signal gate, with Benjamini-Hochberg false-discovery-rate control at 5% applied across the family of cohort-category tests, and then passes a defect-dependence check. The panel is the population of reporting institutions rather than a sample, so probabilities are reported as nominal.
Materiality calibration
The threshold separating material from immaterial composite movement is calibrated as the 25th percentile of absolute historical cohort year-over-year composite change, excluding the reporting period so that a quarter cannot contribute to the standard by which it is judged. The threshold is provisional.
Breadth
Breadth is the share of matched institutions whose category score moved at all. It measures participation, not claimability, and is reported separately from magnitude for that reason. A movement affecting fewer than one third of a cohort is marked narrow and is not described using breadth language. Some categories are mechanically coarse: Concentration Risk takes only a handful of distinct values across the panel and is unchanged year over year for most institutions in every cohort, so its narrow breadth is a property of the measure rather than a finding about any size group.
Directional consistency
Among institutions that did move, the share moving in the same direction as the cohort mean. It separates a narrow movement in which nearly all participants moved the same way from a narrow movement in which they did not; these are different evidence and are not summarized by breadth alone.
Attribution and reconciliation
Category contributions are stated in composite space and reconcile exactly to the cohort composite change, together with an availability term capturing the effect of categories not reported by every institution.

Model and reporting controls

Defect dependence and diagnostic-only results
Where a movement depends materially on a metric under correction, it is reported as diagnostic only: displayed for completeness, never treated as a validated driver, and never used to lead a finding. Diagnostic-only contributors are shown in the exhibits rather than removed, because omitting the largest measured contributor would let the remaining components imply a complete attribution the evidence does not support.
Reporting subdivisions versus production peer groups
BankAtlas has four production size cohorts, and those alone govern peer-percentile construction, grade assignment and run-vulnerability standardization. Finer asset bands used in one exhibit are REPORTING SUBDIVISIONS nested inside those cohorts: they change nothing in the model, their counts reconcile exactly to their parent cohort, and they are used only for absolute measures. Statistical results are evaluated independently at each reporting level and are never inherited from a parent cohort to a sub-band.
Peer-relative measures and what they cannot say
Grades are banded on cohort percentile against fixed cutpoints, and the run-vulnerability index is standardized within cohort and quarter. Both therefore describe position within a contemporaneous peer distribution, not an absolute level. Grade migration measures repositioning, never system-wide deterioration or improvement; aggregate run-vulnerability levels and the roughly one-in-ten share above its upper threshold are fixed by construction and are never presented as a time series. Where a page needs a through-time statement it uses the absolute composite score.
Definitional screening of descriptors
Before a measure is used to characterize a cohort, it is screened against every leg of that cohort's definition. A measure feeding the definition is marked definitional and may be displayed for context but never presented as independent evidence, because describing a cohort by the quantity that defined it restates the definition. The screen is run by name matching, which is a DISCOVERY step and not an adjudication: every candidate match is read before it is accepted. Three matches in this issue were false — a CRE screen catching Credit_Stress_over_Assets, a deposit cost screen catching Cost_to_Income, and an HTM screen catching a differently constructed losses ratio. Where a match is genuinely ambiguous the measure is held definitional, since over-inclusion is the damaging error and exclusion costs only a descriptor.
Exhibit selection
Selection rules were fixed before the exhibits were produced. Each cohort leads with its largest contributor meeting the claim standard; where the largest measured contributor does not meet it, that fact is disclosed rather than omitted.

Transformations and exclusions

Winsorization
Where a ratio can be destabilized by a near-zero denominator, levels are clipped at the 0.5th and 99.5th percentiles under a rule frozen before results and calibrated on the measure's full available history. Changes are derived from winsorized levels, the clipped share is recorded, and the raw median is retained alongside so that a finding existing only after clipping remains visible.
Excluded measures
CET1 was excluded from Issue 1 because the deployed field contains implausible observations and only marginal small-bank coverage; remediation is being handled separately from the quarterly-report pipeline. This is a data-quality exclusion, not solely a coverage limitation. NDFI was excluded on coverage alone. Uninsured deposits are reported only for institutions of $1 billion or more, where reporting is sufficiently complete, and never pooled into a system-wide figure.

Historical comparability

Historical comparability and the lineage test
A historical rank is meaningful only if every quarter was scored by the same model. The composite was therefore solved separately within five eras of the current panel and returns identical category weights in each, with a maximum spread of the order of 1e-13 and an exact fit. The history is a single-pass backcast under the current methodology rather than corrected recent quarters spliced onto legacy scores. The test is re-run on every build and fails the build rather than being asserted once.
Changing bank population
The number of institutions scored falls by roughly half across the historical series through consolidation. A historical comparison therefore spans a shrinking and changing population rather than a fixed panel, and the scored count is carried for every quarter so a reader can see the population behind any historical statement.

This issue

Pages and exhibits
PageContentsExhibits
p1Improvement, Unevenly Distributed
p2Executive Summary
p3Q2 2026 Banking Risk Dashboard
p4Did U.S. Banking Conditions Improve in Q2 2026?Exhibits 1–2
p5What Drove Banking Conditions in Q2 2026?Exhibits 3–4
p6How Did Banks Move Within the Peer-Relative Grade Distribution?Exhibits 5–6
p7How Did Banking Conditions Differ by Asset Size?Exhibits 7–8
p8Where Is Relative Run Vulnerability Concentrated?Exhibits 9–10
p9Where Are Balance-Sheet Pressures Building?Exhibits 11–12
p10Did Balance-Sheet Pressures Concentrate Within the Same Banks?Exhibits 13–14
p11What Characterizes the Weakest Part of the Distribution?Exhibits 15–16
p12How Unusual Are Current Banking Conditions Historically?Exhibits 17–18
p13What This Report Will Re-Test in Q3
p14Methodology, Definitions & Disclosures

Exhibit numbers run in one sequence across the issue. Numbering is final.

Disclosure

Source: BankAtlas, FDIC Call Report data. Data through Q2 2026. BankAtlas grades and scores are proprietary analytical measures and are not credit ratings.