Us Bancorp \De\ (USB) Return on Sales [ROS] (2009 - 2026)
Us Bancorp (USB) recorded Return on Sales [ROS] of 76.84% in Q3 2026, down 8.60 percentage points from 85.44% a year earlier and down 0.67 percentage points from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Us Bancorp's Return on Sales [ROS] came in at 80.15% as of Sep 30, 2026, down 3.09 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 Q3 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 three of the last eight quarters, with an average year-over-year change of -0.72 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 43.49 percentage points in Q4 2022, against a drop of 18.64 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 77.50% (Q2 2026), 82.56% (Q1 2026) and 84.12% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 138.04% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 139.33% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 70.61% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 84.54% |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 76.84% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.84% |
| 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 | 50.55% |
| Jun 30, 2022 | 38.89% |
| Mar 31, 2022 | 39.31% |
| Dec 31, 2021 | 0.41% |
API Access
Us Bancorp \De\ 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();