Regions Financial (RF) Maturities of HTM Securities (2010 - 2026)
Regions Financial (RF) recorded Maturities of HTM Securities of $186 million in Q2 2026, down 2.1% from $190 million a year earlier and down 3.6% from the prior quarter.
Regions Financial (RF) Maturities of HTM Securities (2010 - 2026) Analysis & Trends
On a TTM basis, Regions Financial's Maturities of HTM Securities came in at $775 million as of Jun 30, 2026, up 108.3% year-over-year; for FY2025, it came in at $684 million, up 551.4% from FY2024.
- Annual Maturities of HTM Securities has a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Across earlier years, Maturities of HTM Securities came in at $105 million in FY2024 (+123.4%), $47 million in FY2023 (-52.0%), $98 million in FY2022 (-55.9%) and $222 million in FY2021 (+6.2%).
- Quarterly Maturities of HTM Securities has ranged from $10 million in Q4 2023 to $211 million in Q3 2025 over the past five years.
- On a year-over-year basis, Maturities of HTM Securities rose in four of the last six quarters, with growth averaging 275.4%.
- Peak year-over-year performance for Maturities of HTM Securities in the last five years was growth of 790.9% in Q1 2025, against a decline of 68.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $193 million (Q1 2026), $185 million (Q4 2025) and $211 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of HTM Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 7.99 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 9.10 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 1.15 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 3.83 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 6.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Regions Financial | 24.19 Bn | 24.19 Bn | - | 186.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.00 Mn |
| Mar 31, 2026 | 193.00 Mn |
| Dec 31, 2025 | 185.00 Mn |
| Sep 30, 2025 | 211.00 Mn |
| Jun 30, 2025 | 190.00 Mn |
| Mar 31, 2025 | 98.00 Mn |
| Dec 31, 2024 | 74.00 Mn |
| Sep 30, 2024 | 10.00 Mn |
| Jun 30, 2024 | 10.00 Mn |
| Mar 31, 2024 | 11.00 Mn |
| Dec 31, 2023 | 10.00 Mn |
| Sep 30, 2023 | 13.00 Mn |
| Jun 30, 2023 | 13.00 Mn |
| Mar 31, 2023 | 11.00 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 30, 2022 | 28.00 Mn |
| Mar 31, 2022 | 35.00 Mn |
| Dec 31, 2021 | 45.00 Mn |
| Sep 30, 2021 | 48.00 Mn |
Regions Financial Maturities of HTM Securities 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=maturities-of-htm-securities&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-htm-securities", "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=maturities-of-htm-securities&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();