Regions Financial (RF) Shares Outstanding (Diluted) (2009 - 2026)
Regions Financial (RF) recorded Shares Outstanding (Diluted) of 857 million in Q2 2026, down 4.8% from 900 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Regions Financial (RF) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Regions Financial reported Shares Outstanding (Diluted) of 896 million, down 2.4% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for four straight years, with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 918 million in FY2024 (-2.1%), 938 million in FY2023 (-0.4%), 942 million in FY2022 (-2.2%) and 963 million in FY2021 (+0.1%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) since Q1 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for 11 consecutive quarters, with an average decline of 2.8% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.1% in Q4 2021, against a decline of 4.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 868 million (Q1 2026), 896 million (Q4 2025) and 894 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - | 1.57 Bn |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn | 11.40 Bn |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - | 1.41 Bn |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - | 3.07 Bn |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - | 857.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 857.00 Mn |
| Mar 31, 2026 | 868.00 Mn |
| Dec 31, 2025 | 896.00 Mn |
| Sep 30, 2025 | 894.00 Mn |
| Jun 30, 2025 | 900.00 Mn |
| Mar 31, 2025 | 910.00 Mn |
| Dec 31, 2024 | 918.00 Mn |
| Sep 30, 2024 | 918.00 Mn |
| Jun 30, 2024 | 918.00 Mn |
| Mar 31, 2024 | 923.00 Mn |
| Dec 31, 2023 | 938.00 Mn |
| Sep 30, 2023 | 940.00 Mn |
| Jun 30, 2023 | 939.00 Mn |
| Mar 31, 2023 | 942.00 Mn |
| Dec 31, 2022 | 942.00 Mn |
| Sep 30, 2022 | 940.00 Mn |
| Jun 30, 2022 | 940.00 Mn |
| Mar 31, 2022 | 947.00 Mn |
| Dec 31, 2021 | 963.00 Mn |
| Sep 30, 2021 | 962.00 Mn |
API Access
Regions Financial Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();