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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 40.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | -2.00 Mn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 253.02 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | -57.00 Mn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | - |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | -50.00 Mn |
| 10 | Aflac | 60.63 Bn | 35.84 Bn | 2.27 Bn | 5.00 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();