Keycorp (KEY) Provision for Credit Losses (2009 - 2026)
Keycorp (KEY) reported Provision for Credit Losses of $61 million for Q3 2026, down 45.5% from $112 million a year earlier and down 45.0% from the prior quarter.
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Analysis
Keycorp (KEY) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Keycorp's Provision for Credit Losses came in at $403 million, down 3.8% year-over-year; for FY2025, it came in at $471 million, up 38.1% from FY2024.
- Provision for Credit Losses has a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- By year, Provision for Credit Losses came in at $341 million in FY2024 (-30.3%), $489 million in FY2023 (-2.6%), $502 million in FY2022 and -$418 million in FY2021.
- The Q3 2026 figure ranks as the lowest quarterly Provision for Credit Losses since Q4 2024.
- Year over year, Provision for Credit Losses has now declined in each of the last three quarters, with growth averaging 13.3% over the last eight quarters.
- The high point for year-over-year Provision for Credit Losses in five years was Q2 2023 (growth of 271.1%); the low point was Q4 2021 (a decline of 80.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $111 million (Q2 2026), $123 million (Q1 2026) and $108 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 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 | 111.00 Mn |
| Mar 31, 2026 | 123.00 Mn |
| Dec 31, 2025 | 108.00 Mn |
| Sep 30, 2025 | 112.00 Mn |
| Jun 30, 2025 | 138.00 Mn |
| Mar 31, 2025 | 130.00 Mn |
| Dec 31, 2024 | 39.00 Mn |
| Sep 30, 2024 | 101.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 115.00 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 Credit 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-credit-losses&ticker=KEY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=KEY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();