Regions Financial (RF) Provision for Credit Losses (2009 - 2026)
Regions Financial (RF) reported Provision for Credit Losses of $68 million for Q2 2026, down 46.0% from $126 million a year earlier and down 32.7% from the prior quarter.
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Analysis
Regions Financial (RF) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Regions Financial's Provision for Credit Losses came in at $389 million, down 20.3% year-over-year; for FY2025, it came in at $470 million, down 5.1% from FY2024.
- Provision for Credit Losses has a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- By year, Provision for Credit Losses came in at $495 million in FY2024 (-10.5%), $553 million in FY2023 (+104.1%), $271 million in FY2022 and -$524 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Provision for Credit Losses since Q2 2022.
- Year over year, Provision for Credit Losses has now declined in each of the last four quarters, with an average decline of 15.6% over the last eight quarters.
- The high point for year-over-year Provision for Credit Losses in five years was Q2 2023 (growth of 103.3%); the low point was Q2 2026 (a decline of 46.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $101 million (Q1 2026), $115 million (Q4 2025) and $105 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.34 Bn | 905.34 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 358.56 Bn | -2,017.55 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 307.13 Bn | -1,796.46 Bn | - | - |
| 4 | Royal Bank Of Canada | 287.97 Bn | -542.07 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 284.27 Bn | -224.82 Bn | - | 110.00 Mn |
| 6 | Goldman Sachs | 257.96 Bn | -3,485.49 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 256.22 Bn | 256.22 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 241.27 Bn | -100.12 Bn | 10.89 Bn | - |
| 9 | American Express | 219.29 Bn | 18.77 Bn | - | 985.00 Mn |
| 10 | Regions Financial | 24.32 Bn | 24.32 Bn | - | 68.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.00 Mn |
| Mar 31, 2026 | 101.00 Mn |
| Dec 31, 2025 | 115.00 Mn |
| Sep 30, 2025 | 105.00 Mn |
| Jun 30, 2025 | 126.00 Mn |
| Mar 31, 2025 | 124.00 Mn |
| Dec 31, 2024 | 125.00 Mn |
| Sep 30, 2024 | 113.00 Mn |
| Jun 30, 2024 | 105.00 Mn |
| Mar 31, 2024 | 162.00 Mn |
| Dec 31, 2023 | 155.00 Mn |
| Sep 30, 2023 | 145.00 Mn |
| Jun 30, 2023 | 122.00 Mn |
| Mar 31, 2023 | 135.00 Mn |
| Dec 31, 2022 | 112.00 Mn |
| Sep 30, 2022 | 135.00 Mn |
| Jun 30, 2022 | 60.00 Mn |
| Mar 31, 2022 | -36.00 Mn |
| Dec 31, 2021 | 110.00 Mn |
| Sep 30, 2021 | -155.00 Mn |
API Access
Regions Financial 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=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "RF", "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=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();