American Express (AXP) Return on Sales [ROS] (2009 - 2026)
American Express (AXP) posted Return on Sales [ROS] of 30.70% for Q2 2026, down 0.81 percentage points from 31.51% a year earlier but up 0.28 percentage points from the prior quarter.
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Analysis
American Express (AXP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at American Express was 30.13%, down 0.56 percentage points year-over-year; for FY2025, it was 30.50%, down 1.57 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +12.78 percentage points (FY2020 to FY2025).
- In prior years, American Express' Return on Sales [ROS] was 32.07% in FY2024 (+3.38 pp), 28.69% in FY2023 (+5.33 pp), 23.36% in FY2022 (-4.89 pp) and 28.25% in FY2021 (+10.53 pp).
- Quarterly Return on Sales [ROS] has run from a low of 21.39% in Q4 2021 to a high of 35.84% in Q2 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -0.99 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 7.83 percentage points; the weakest was Q1 2022, with a drop of 11.17 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 30.42% (Q1 2026), 27.13% (Q4 2025) and 32.32% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 84.05% |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 30.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.70% |
| Mar 31, 2026 | 30.42% |
| Dec 31, 2025 | 27.13% |
| Sep 30, 2025 | 32.32% |
| Jun 30, 2025 | 31.51% |
| Mar 31, 2025 | 31.21% |
| Dec 31, 2024 | 27.91% |
| Sep 30, 2024 | 32.14% |
| Jun 30, 2024 | 35.84% |
| Mar 31, 2024 | 32.60% |
| Dec 31, 2023 | 28.23% |
| Sep 30, 2023 | 31.84% |
| Jun 30, 2023 | 29.25% |
| Mar 31, 2023 | 25.21% |
| Dec 31, 2022 | 21.71% |
| Sep 30, 2022 | 24.01% |
| Jun 30, 2022 | 22.26% |
| Mar 31, 2022 | 25.85% |
| Dec 31, 2021 | 21.39% |
| Sep 30, 2021 | 25.23% |
API Access
American Express 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=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AXP", "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=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();