American International (AIG) Exchange Rate Effect (2009 - 2026)
American International (AIG) reported Exchange Rate Effect of -$7 million for Q2 2026, compared with $13 million a year earlier.
American International (AIG) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, American International's Exchange Rate Effect came in at -$2 million; for FY2024, it was -$83 million.
- By year, Exchange Rate Effect came in at -$13 million in FY2023, -$117 million in FY2022, -$67 million in FY2021 and $49 million in FY2020 (+206.3%).
- The Q2 2026 figure ranks as the lowest quarterly Exchange Rate Effect since Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 40.00 Mn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | -2.00 Mn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | 253.02 Mn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | -57.00 Mn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | - |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | -50.00 Mn |
| 10 | American International | 43.39 Bn | 5.57 Bn | 3.50 Bn | -7.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.00 Mn |
| Mar 31, 2026 | -6.00 Mn |
| Dec 31, 2025 | -17.00 Mn |
| Sep 30, 2025 | -2.00 Mn |
| Jun 30, 2025 | 13.00 Mn |
| Mar 31, 2025 | 18.00 Mn |
| Dec 31, 2024 | -46.00 Mn |
| Sep 30, 2024 | 29.00 Mn |
| Jun 30, 2024 | -37.00 Mn |
| Mar 31, 2024 | -29.00 Mn |
| Dec 31, 2023 | 24.00 Mn |
| Sep 30, 2023 | -55.00 Mn |
| Jun 30, 2023 | 16.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | -3.00 Mn |
| Sep 30, 2022 | -42.00 Mn |
| Jun 30, 2022 | -59.00 Mn |
| Mar 31, 2022 | -13.00 Mn |
| Dec 31, 2021 | -27.00 Mn |
| Sep 30, 2021 | -6.00 Mn |
American International 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=AIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "AIG", "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=AIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();