Regions Financial (RF) Tax Provisions (2009 - 2026)
Regions Financial's Tax Provisions was $148 million in Q2 2026, up 3.5% from $143 million a year earlier but down 4.5% from the prior quarter.
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Analysis
Regions Financial (RF) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Regions Financial's Tax Provisions was $616 million through Jun 30, 2026, up 19.6% year-over-year; for FY2025, it was $587 million, up 27.3% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $461 million in FY2024 (-13.5%), $533 million in FY2023 (-15.5%), $631 million in FY2022 (-9.1%) and $694 million in FY2021 (+215.5%).
- Quarterly Tax Provisions has moved between $80 million (Q4 2023) and $187 million (Q4 2022) over five years.
- Compared with a year earlier, Tax Provisions has increased for seven straight quarters, with growth averaging 22.3% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q4 2022 (growth of 81.6%); the worst was Q4 2023 (a decline of 57.2%).
- Per Business Quant data, RF's Tax Provisions in the three quarters before Q2 2026 was $155 million (Q1 2026), $174 million (Q4 2025) and $139 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | 1.70 Bn |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn | 1.17 Bn |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - | 1.24 Bn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 1.40 Bn |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.00 Mn |
| Mar 31, 2026 | 155.00 Mn |
| Dec 31, 2025 | 174.00 Mn |
| Sep 30, 2025 | 139.00 Mn |
| Jun 30, 2025 | 143.00 Mn |
| Mar 31, 2025 | 131.00 Mn |
| Dec 31, 2024 | 123.00 Mn |
| Sep 30, 2024 | 118.00 Mn |
| Jun 30, 2024 | 124.00 Mn |
| Mar 31, 2024 | 96.00 Mn |
| Dec 31, 2023 | 80.00 Mn |
| Sep 30, 2023 | 129.00 Mn |
| Jun 30, 2023 | 147.00 Mn |
| Mar 31, 2023 | 177.00 Mn |
| Dec 31, 2022 | 187.00 Mn |
| Sep 30, 2022 | 133.00 Mn |
| Jun 30, 2022 | 157.00 Mn |
| Mar 31, 2022 | 154.00 Mn |
| Dec 31, 2021 | 103.00 Mn |
| Sep 30, 2021 | 180.00 Mn |
API Access
Regions Financial Tax 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=tax-provisions&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-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=tax-provisions&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();