Metlife (MET) Long-Term Investments (2009 - 2026)
Metlife's Long-Term Investments came in at $482.56 billion for Q2 2026, up 5.7% from $456.69 billion a year earlier and up 2.0% from the prior quarter.
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Analysis
Metlife (MET) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Metlife's Long-Term Investments was $472.18 billion, up 7.0% from FY2024.
- Long-Term Investments carries a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- Going back by year, Long-Term Investments was $441.36 billion in FY2024 (-1.1%), $446.14 billion in FY2023 (+3.0%), $433.29 billion in FY2022 (-12.4%) and $494.82 billion in FY2021 (-2.7%).
- The Q2 2026 figure represents the highest quarterly Long-Term Investments since Q4 2021.
- Year-over-year, Long-Term Investments has increased for six consecutive quarters, with growth averaging 3.7% over the last eight quarters.
- The fastest year-over-year change in Long-Term Investments over five years came in Q4 2025 (growth of 7.0%), and the weakest in Q3 2022 (a decline of 14.0%).
- Business Quant data shows MET's Long-Term Investments at $473.11 billion (Q1 2026), $472.18 billion (Q4 2025) and $463.7 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | 172.65 Bn |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | 97.22 Bn |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | - |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | 103.18 Bn |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | 40.54 Bn |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | 482.56 Bn |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | 87.80 Bn |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | - |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | 8.25 Bn |
| 10 | Aon | 58.62 Bn | 51.84 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 482.56 Bn |
| Mar 31, 2026 | 473.11 Bn |
| Dec 31, 2025 | 472.18 Bn |
| Sep 30, 2025 | 463.70 Bn |
| Jun 30, 2025 | 456.69 Bn |
| Mar 31, 2025 | 450.41 Bn |
| Dec 31, 2024 | 441.36 Bn |
| Sep 30, 2024 | 455.28 Bn |
| Jun 30, 2024 | 436.83 Bn |
| Mar 31, 2024 | 440.00 Bn |
| Dec 31, 2023 | 446.14 Bn |
| Sep 30, 2023 | 435.66 Bn |
| Jun 30, 2023 | 450.95 Bn |
| Mar 31, 2023 | 441.30 Bn |
| Dec 31, 2022 | 433.29 Bn |
| Sep 30, 2022 | 426.40 Bn |
| Jun 30, 2022 | 436.03 Bn |
| Mar 31, 2022 | 470.28 Bn |
| Dec 31, 2021 | 494.82 Bn |
| Sep 30, 2021 | 495.68 Bn |
API Access
Metlife Long-Term Investments 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=long-term-investments&ticker=MET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();