American Express (AXP) EBITDA Margin (2010 - 2026)
American Express (AXP) reported EBITDA Margin of 33.19% for Q2 2026, down 0.72 percentage points from 33.90% a year earlier but up 0.29 percentage points from the prior quarter.
Powered by 
Analysis
American Express (AXP) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American Express' EBITDA Margin came in at 32.60%, down 0.60 percentage points year-over-year; for FY2025, it came in at 32.96%, down 1.65 percentage points from FY2024.
- EBITDA Margin has a five-year change of +10.96 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at 34.61% in FY2024 (+3.19 pp), 31.42% in FY2023 (+4.98 pp), 26.43% in FY2022 (-5.81 pp) and 32.25% in FY2021 (+10.25 pp).
- Five-year quarterly EBITDA Margin spans a low of 24.66% in Q4 2022 and a high of 38.42% in Q2 2024.
- Year over year, EBITDA Margin has now declined in each of the last three quarters, with an average year-over-year change of -1.07 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q3 2023 (a gain of 7.58 percentage points); the low point was Q1 2022 (a drop of 12.43 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 32.89% (Q1 2026), 29.57% (Q4 2025) and 34.79% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 139.87% |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 92.35% |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 33.19% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.19% |
| Mar 31, 2026 | 32.89% |
| Dec 31, 2025 | 29.57% |
| Sep 30, 2025 | 34.79% |
| Jun 30, 2025 | 33.90% |
| Mar 31, 2025 | 33.77% |
| Dec 31, 2024 | 30.40% |
| Sep 30, 2024 | 34.77% |
| Jun 30, 2024 | 38.42% |
| Mar 31, 2024 | 35.07% |
| Dec 31, 2023 | 30.90% |
| Sep 30, 2023 | 34.63% |
| Jun 30, 2023 | 31.91% |
| Mar 31, 2023 | 28.01% |
| Dec 31, 2022 | 24.66% |
| Sep 30, 2022 | 27.06% |
| Jun 30, 2022 | 25.23% |
| Mar 31, 2022 | 29.24% |
| Dec 31, 2021 | 24.84% |
| Sep 30, 2021 | 29.27% |
API Access
American Express EBITDA Margin 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=ebitda-margin&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();