Us Bancorp (USB) Return on Sales [ROS] (2009 - 2026)
Us Bancorp (USB) recorded Return on Sales [ROS] of 77.50% in Q2 2026, down 6.31 percentage points from 83.81% a year earlier and down 5.06 percentage points from the prior quarter.
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Analysis
Us Bancorp (USB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Us Bancorp's Return on Sales [ROS] came in at 82.34% as of Jun 30, 2026, down 1.53 percentage points year-over-year; for FY2025, it was 83.52%, down 1.66 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +48.80 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 85.19% in FY2024 (+15.66 pp), 69.52% in FY2023 (+26.03 pp), 43.49% in FY2022 (-5.62 pp) and 49.11% in FY2021 (+14.38 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +1.60 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 29.01 percentage points in Q2 2023, against a drop of 18.72 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 82.56% (Q1 2026), 84.12% (Q4 2025) and 85.44% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Us Bancorp | 89.40 Bn | 89.86 Bn | - | 77.50% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.50% |
| Mar 31, 2026 | 82.56% |
| Dec 31, 2025 | 84.12% |
| Sep 30, 2025 | 85.44% |
| Jun 30, 2025 | 83.81% |
| Mar 31, 2025 | 80.59% |
| Dec 31, 2024 | 83.01% |
| Sep 30, 2024 | 88.15% |
| Jun 30, 2024 | 88.01% |
| Mar 31, 2024 | 81.56% |
| Dec 31, 2023 | 69.11% |
| Sep 30, 2023 | 78.19% |
| Jun 30, 2023 | 68.09% |
| Mar 31, 2023 | 62.86% |
| Dec 31, 2022 | 43.91% |
| Sep 30, 2022 | 50.79% |
| Jun 30, 2022 | 39.08% |
| Mar 31, 2022 | 39.50% |
| Dec 31, 2021 | 41.88% |
| Sep 30, 2021 | 48.36% |
API Access
Us Bancorp 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=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "USB", "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=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();