Metlife (MET) Total Liabilities (2009 - 2026)
Metlife (MET) posted Total Liabilities of $731.63 billion for Q2 2026, up 8.5% from $674.54 billion a year earlier and up 2.2% from the prior quarter.
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Analysis
Metlife (MET) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Metlife's Total Liabilities came in at $716.49 billion, up 10.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In prior years, Metlife's Total Liabilities was $649.75 billion in FY2024 (-1.2%), $657.33 billion in FY2023 (+3.9%), $632.95 billion in FY2022 (-10.8%) and $709.7 billion in FY2021 (-1.5%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q2 2017.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 5.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 10.3%; the weakest was Q4 2022, with a decline of 10.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $715.62 billion (Q1 2026), $716.49 billion (Q4 2025) and $690.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 43.66 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 58.06 Bn |
| 10 | Allstate | 57.25 Bn | 18.50 Bn | 8.73 Bn | 91.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 731.63 Bn |
| Mar 31, 2026 | 715.62 Bn |
| Dec 31, 2025 | 716.49 Bn |
| Sep 30, 2025 | 690.54 Bn |
| Jun 30, 2025 | 674.54 Bn |
| Mar 31, 2025 | 660.56 Bn |
| Dec 31, 2024 | 649.75 Bn |
| Sep 30, 2024 | 673.81 Bn |
| Jun 30, 2024 | 648.21 Bn |
| Mar 31, 2024 | 648.78 Bn |
| Dec 31, 2023 | 657.33 Bn |
| Sep 30, 2023 | 626.23 Bn |
| Jun 30, 2023 | 646.79 Bn |
| Mar 31, 2023 | 641.84 Bn |
| Dec 31, 2022 | 632.95 Bn |
| Sep 30, 2022 | 620.46 Bn |
| Jun 30, 2022 | 628.88 Bn |
| Mar 31, 2022 | 681.58 Bn |
| Dec 31, 2021 | 709.70 Bn |
| Sep 30, 2021 | 692.33 Bn |
API Access
Metlife Total Liabilities 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=total-liabilities&ticker=MET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();