Regions Financial (RF) Purchase of AFS Securities (2010 - 2026)
Regions Financial (RF) posted Purchase of AFS Securities of $1.83 billion for Q2 2026, down 4.2% from $1.91 billion a year earlier but up 69.8% from the prior quarter.
Regions Financial (RF) Purchase of AFS Securities (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Purchase of AFS Securities at Regions Financial was $6.19 billion, down 31.9% year-over-year; for FY2025, it came in at $7.26 billion, down 24.4% from FY2024.
- Annual Purchase of AFS Securities shows a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In prior years, Regions Financial's Purchase of AFS Securities was $9.61 billion in FY2024 (+268.3%), $2.61 billion in FY2023 (-71.0%), $8.99 billion in FY2022 (+7.5%) and $8.36 billion in FY2021 (-6.7%).
- Quarterly Purchase of AFS Securities has run from a low of $129 million in Q2 2023 to a high of $4.36 billion in Q1 2022 over five years.
- On a year-over-year basis, Purchase of AFS Securities has declined in each of the last six quarters, with growth averaging 53.6% over the last eight quarters.
- The strongest year-over-year quarter for Purchase of AFS Securities in the past five years was Q3 2024, with growth of 540.9%; the weakest was Q2 2023, with a decline of 94.7%.
- According to Business Quant data, Purchase of AFS Securities for the three prior quarters was $1.08 billion (Q1 2026), $1.31 billion (Q4 2025) and $1.96 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Purchase of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 73.61 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 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 | - | 7.20 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 25.10 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 32.96 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 | - | 1.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.83 Bn |
| Mar 31, 2026 | 1.08 Bn |
| Dec 31, 2025 | 1.31 Bn |
| Sep 30, 2025 | 1.96 Bn |
| Jun 30, 2025 | 1.91 Bn |
| Mar 31, 2025 | 2.08 Bn |
| Dec 31, 2024 | 1.54 Bn |
| Sep 30, 2024 | 3.56 Bn |
| Jun 30, 2024 | 2.44 Bn |
| Mar 31, 2024 | 2.08 Bn |
| Dec 31, 2023 | 1.26 Bn |
| Sep 30, 2023 | 555.00 Mn |
| Jun 30, 2023 | 129.00 Mn |
| Mar 31, 2023 | 662.00 Mn |
| Dec 31, 2022 | 521.00 Mn |
| Sep 30, 2022 | 1.68 Bn |
| Jun 30, 2022 | 2.43 Bn |
| Mar 31, 2022 | 4.36 Bn |
| Dec 31, 2021 | 1.23 Bn |
| Sep 30, 2021 | 1.34 Bn |
Regions Financial Purchase of AFS 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=purchase-of-afs-securities&ticker=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-afs-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=purchase-of-afs-securities&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();