American Express (AXP) Revenue (2009 - 2026)
American Express' Revenue was $19.64 billion in Q2 2026, up 10.0% from $17.86 billion a year earlier and up 3.9% from the prior quarter.
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Analysis
American Express (AXP) Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Express' Revenue was $75.95 billion through Jun 30, 2026, up 10.7% year-over-year; for FY2025, it came in at $72.23 billion, up 9.5% from FY2024.
- Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In earlier years, Revenue was $65.95 billion in FY2024 (+9.0%), $60.52 billion in FY2023 (+14.5%), $52.86 billion in FY2022 (+24.7%) and $42.38 billion in FY2021 (+17.4%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q1 2009.
- Compared with a year earlier, Revenue has increased for 21 straight quarters, with growth averaging 9.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 7.4% (Q1 2025) to 30.8% (Q2 2022).
- Per Business Quant data, AXP's Revenue in the three quarters before Q2 2026 was $18.91 billion (Q1 2026), $18.98 billion (Q4 2025) and $18.43 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 13.30 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 22.62 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 19.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.64 Bn |
| Mar 31, 2026 | 18.91 Bn |
| Dec 31, 2025 | 18.98 Bn |
| Sep 30, 2025 | 18.43 Bn |
| Jun 30, 2025 | 17.86 Bn |
| Mar 31, 2025 | 16.97 Bn |
| Dec 31, 2024 | 17.18 Bn |
| Sep 30, 2024 | 16.64 Bn |
| Jun 30, 2024 | 16.33 Bn |
| Mar 31, 2024 | 15.80 Bn |
| Dec 31, 2023 | 15.80 Bn |
| Sep 30, 2023 | 15.38 Bn |
| Jun 30, 2023 | 15.05 Bn |
| Mar 31, 2023 | 14.28 Bn |
| Dec 31, 2022 | 14.18 Bn |
| Sep 30, 2022 | 13.56 Bn |
| Jun 30, 2022 | 13.40 Bn |
| Mar 31, 2022 | 11.74 Bn |
| Dec 31, 2021 | 12.15 Bn |
| Sep 30, 2021 | 10.93 Bn |
API Access
American Express Revenue 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=revenue&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();