American Express (AXP) Return on Sales [ROS] (2009 - 2025)
American Express (AXP) posted Return on Sales [ROS] of 32.15% for Q3 2026, down 0.18 percentage points from 32.32% a year earlier but up 1.44 percentage points from the prior quarter.
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Analysis
American Express (AXP) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at American Express was 30.13%, down 0.64 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 four quarters, with an average year-over-year change of -1.05 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 30.70% (Q2 2026), 30.42% (Q1 2026) and 27.13% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Yr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 93.45% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 102.71% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 37.33% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 144.85% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 100.46% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 152.13% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 77.69% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 42.08% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 30.50% |
| 10 | Toronto Dominion Bank | 211.21 Bn | -464.66 Bn | - | 6.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 30.50% |
| Dec 31, 2024 | 32.07% |
| Dec 31, 2023 | 28.69% |
| Dec 31, 2022 | 23.36% |
| Dec 31, 2021 | 28.25% |
| Dec 31, 2020 | 17.72% |
| Dec 31, 2019 | 27.31% |
| Dec 31, 2018 | 27.43% |
| Dec 31, 2017 | 25.86% |
| Dec 31, 2016 | 27.50% |
| Dec 31, 2015 | 29.13% |
| Dec 31, 2014 | 31.29% |
| Dec 31, 2013 | 29.95% |
| Dec 31, 2012 | 27.50% |
| Dec 31, 2011 | 30.96% |
| Dec 31, 2010 | -2.75% |
| Dec 31, 2009 | 11.59% |
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-annual&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]-annual", "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-annual&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();