American Express (AXP) Exchange Rate Effect (2010 - 2026)
American Express (AXP) recorded Exchange Rate Effect of $30 million in Q3 2026, down 67.0% from $91 million a year earlier.
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Analysis
American Express (AXP) Exchange Rate Effect (2010 - 2026) Analysis & Trends
On a TTM basis, American Express' Exchange Rate Effect came in at $201 million as of Sep 30, 2026, down 17.6% 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.
- Quarterly Exchange Rate Effect has ranged from -$502 million in Q4 2022 to $270 million in Q2 2022 over the past five years.
- Peak year-over-year performance for Exchange Rate Effect in the last five years was growth of 657.1% in Q1 2023, against a decline of 73.6% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$6 million (Q2 2026), $57 million (Q1 2026) and $120 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | -289.00 Mn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 723.66 Mn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 134.12 Mn |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 30.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.00 Mn |
| 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 |
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();