Metlife (MET) Exchange Rate Effect (2009 - 2026)
Metlife (MET) posted Exchange Rate Effect of $41 million for Q2 2026, down 79.2% from $197 million a year earlier.
Metlife (MET) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Metlife was -$74 million; for FY2025, it came in at $316 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In prior years, Metlife's Exchange Rate Effect was -$545 million in FY2024, -$91 million in FY2023, -$397 million in FY2022 and -$478 million in FY2021.
- Quarterly Exchange Rate Effect has run from a low of -$425 million in Q4 2024 to a high of $359 million in Q4 2022 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$136 million (Q1 2026), $7 million (Q4 2025) and $14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | -46.00 Mn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | - |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | -14.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | -2.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 253.02 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | -50.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | -57.00 Mn |
| 10 | Allstate | 56.37 Bn | 17.62 Bn | 8.73 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.00 Mn |
| Mar 31, 2026 | -136.00 Mn |
| Dec 31, 2025 | 7.00 Mn |
| Sep 30, 2025 | 14.00 Mn |
| Jun 30, 2025 | 197.00 Mn |
| Mar 31, 2025 | 98.00 Mn |
| Dec 31, 2024 | -425.00 Mn |
| Sep 30, 2024 | 118.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | -239.00 Mn |
| Dec 31, 2023 | 145.00 Mn |
| Sep 30, 2023 | -160.00 Mn |
| Jun 30, 2023 | -110.00 Mn |
| Mar 31, 2023 | 34.00 Mn |
| Dec 31, 2022 | 359.00 Mn |
| Sep 30, 2022 | -289.00 Mn |
| Jun 30, 2022 | -383.00 Mn |
| Mar 31, 2022 | -84.00 Mn |
| Dec 31, 2021 | -86.00 Mn |
| Sep 30, 2021 | -200.00 Mn |
Metlife 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=MET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MET", "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=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();