Keycorp (KEY) Provision for Losses (2009 - 2026)
Keycorp (KEY) recorded Provision for Losses of $92 million in Q2 2026, down 33.3% from $138 million a year earlier and down 13.2% from the prior quarter.
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Analysis
Keycorp (KEY) Provision for Losses (2009 - 2026) Analysis & Trends
On a TTM basis, Keycorp's Provision for Losses came in at $413 million as of Jun 30, 2026, up 5.9% year-over-year; for FY2025, it came in at $471 million, up 40.6% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $335 million in FY2024 (-31.5%), $489 million in FY2023 (-2.6%), $502 million in FY2022 and -$418 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Provision for Losses since Q4 2024.
- On a year-over-year basis, Provision for Losses rose in five of the last eight quarters, with growth averaging 19.6%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 271.1% in Q2 2023, against a decline of 80.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $106 million (Q1 2026), $108 million (Q4 2025) and $107 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Keycorp | 22.55 Bn | -24.79 Bn | - | 61.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.00 Mn |
| Jun 30, 2026 | 92.00 Mn |
| Mar 31, 2026 | 106.00 Mn |
| Dec 31, 2025 | 108.00 Mn |
| Sep 30, 2025 | 107.00 Mn |
| Jun 30, 2025 | 138.00 Mn |
| Mar 31, 2025 | 118.00 Mn |
| Dec 31, 2024 | 39.00 Mn |
| Sep 30, 2024 | 95.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 101.00 Mn |
| Dec 31, 2023 | 102.00 Mn |
| Sep 30, 2023 | 81.00 Mn |
| Jun 30, 2023 | 167.00 Mn |
| Mar 31, 2023 | 139.00 Mn |
| Dec 31, 2022 | 265.00 Mn |
| Sep 30, 2022 | 109.00 Mn |
| Jun 30, 2022 | 45.00 Mn |
| Mar 31, 2022 | 83.00 Mn |
| Dec 31, 2021 | 4.00 Mn |
API Access
Keycorp Provision for Losses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=provision-for-losses&ticker=KEY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "KEY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=KEY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();