American Express (AXP) Exchange Rate Effect (2010 - 2026)
American Express (AXP) recorded Exchange Rate Effect of -$6 million in Q2 2026, compared with $184 million a year earlier.
Powered by 
Analysis
American Express (AXP) Exchange Rate Effect (2010 - 2026) Analysis & Trends
On a TTM basis, American Express' Exchange Rate Effect came in at $262 million as of Jun 30, 2026, up 63.8% year-over-year; for FY2025, it was $405 million.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Across earlier years, Exchange Rate Effect came in at -$40 million in FY2024, $177 million in FY2023, -$13 million in FY2022 and -$120 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Exchange Rate Effect since Q4 2024.
- Per Business Quant, the preceding three quarters came in at $57 million (Q1 2026), $120 million (Q4 2025) and $91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | -6.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.00 Mn |
| Mar 31, 2026 | 57.00 Mn |
| Dec 31, 2025 | 120.00 Mn |
| Sep 30, 2025 | 91.00 Mn |
| Jun 30, 2025 | 184.00 Mn |
| Mar 31, 2025 | 10.00 Mn |
| Dec 31, 2024 | -41.00 Mn |
| Sep 30, 2024 | 7.00 Mn |
| Jun 30, 2024 | -34.00 Mn |
| Mar 31, 2024 | 28.00 Mn |
| Dec 31, 2023 | 21.00 Mn |
| Sep 30, 2023 | -51.00 Mn |
| Jun 30, 2023 | 101.00 Mn |
| Mar 31, 2023 | 106.00 Mn |
| Dec 31, 2022 | -502.00 Mn |
| Sep 30, 2022 | 205.00 Mn |
| Jun 30, 2022 | 270.00 Mn |
| Mar 31, 2022 | 14.00 Mn |
| Dec 31, 2021 | 61.00 Mn |
| Sep 30, 2021 | 46.00 Mn |
API Access
American Express Exchange Rate Effect 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=exchange-rate-effect&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();