Regions Financial (RF) Provisions (2009 - 2026)
Regions Financial (RF) reported Provisions 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) Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Regions Financial's Provisions came in at $389 million, down 20.3% year-over-year; for FY2025, it came in at $470 million, down 5.1% from FY2024.
- Provisions has a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- By year, Provisions 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 Provisions since Q2 2022.
- Year over year, Provisions 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 Provisions 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 | 875.87 Bn | 905.35 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | 110.00 Mn |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn | -647.66 Mn |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - | 717.20 Mn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 914.00 Mn |
| 10 | Regions Financial | 22.74 Bn | 22.81 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 Provisions 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=provisions&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();