Regions Financial (RF) Return on Sales [ROS] (2009 - 2026)
Regions Financial (RF) recorded Return on Sales [ROS] of 62.35% in Q2 2026, down 2.27 percentage points from 64.62% a year earlier and down 0.01 percentage points from the prior quarter.
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Analysis
Regions Financial (RF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Regions Financial's Return on Sales [ROS] came in at 63.00% as of Jun 30, 2026, down 3.11 percentage points year-over-year; for FY2025, it was 64.11%, down 1.45 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +47.59 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 65.57% in FY2024 (+10.34 pp), 55.23% in FY2023 (+10.99 pp), 44.24% in FY2022 (-8.29 pp) and 52.53% in FY2021 (+36.01 pp).
- Quarterly Return on Sales [ROS] has ranged from 28.27% in Q1 2022 to 69.38% in Q2 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of +1.44 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 24.47 percentage points in Q3 2023, against a drop of 11.60 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 62.36% (Q1 2026), 62.21% (Q4 2025) and 65.08% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 91.99% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 48.15% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 138.04% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 95.47% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 32.15% |
| 10 | Regions Financial | 24.19 Bn | 24.19 Bn | - | 62.35% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.35% |
| Mar 31, 2026 | 62.36% |
| Dec 31, 2025 | 62.21% |
| Sep 30, 2025 | 65.08% |
| Jun 30, 2025 | 64.62% |
| Mar 31, 2025 | 64.57% |
| Dec 31, 2024 | 67.71% |
| Sep 30, 2024 | 67.60% |
| Jun 30, 2024 | 69.38% |
| Mar 31, 2024 | 57.47% |
| Dec 31, 2023 | 54.72% |
| Sep 30, 2023 | 58.91% |
| Jun 30, 2023 | 55.49% |
| Mar 31, 2023 | 51.92% |
| Dec 31, 2022 | 51.12% |
| Sep 30, 2022 | 34.44% |
| Jun 30, 2022 | 45.02% |
| Mar 31, 2022 | 28.27% |
| Dec 31, 2021 | 35.37% |
| Sep 30, 2021 | 33.81% |
API Access
Regions Financial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();