Metlife (MET) Total Non-Current Liabilities (2009 - 2026)
Metlife (MET) reported Total Non-Current Liabilities of $574.78 billion for Q2 2026, up 8.2% from $531.37 billion a year earlier and up 1.2% from the prior quarter.
Metlife (MET) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Metlife posted Total Non-Current Liabilities of $564.55 billion, up 10.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $510.25 billion in FY2024 (-0.5%), $512.7 billion in FY2023 (+5.3%), $486.91 billion in FY2022 (-8.1%) and $529.82 billion in FY2021 (+1.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2016.
- Year over year, Total Non-Current Liabilities has now increased in each of the last six quarters, with growth averaging 5.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2025 (growth of 10.6%); the low point was Q4 2022 (a decline of 8.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $567.93 billion (Q1 2026), $564.55 billion (Q4 2025) and $544.19 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 193.01 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 43.45 Bn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 103.73 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | 709.73 Bn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 55.80 Bn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 515.80 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 91.05 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 42.27 Bn |
| 10 | Aflac | 60.55 Bn | 35.76 Bn | 2.27 Bn | 82.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 515.80 Bn |
| Mar 31, 2026 | 509.94 Bn |
| Dec 31, 2025 | 506.97 Bn |
| Sep 30, 2025 | 495.74 Bn |
| Jun 30, 2025 | 492.29 Bn |
| Mar 31, 2025 | 483.58 Bn |
| Dec 31, 2024 | 473.41 Bn |
| Sep 30, 2024 | 486.84 Bn |
| Jun 30, 2024 | 469.75 Bn |
| Mar 31, 2024 | 471.62 Bn |
| Dec 31, 2023 | 476.89 Bn |
| Sep 30, 2023 | 455.90 Bn |
| Jun 30, 2023 | 466.29 Bn |
| Mar 31, 2023 | 468.31 Bn |
| Dec 31, 2022 | 460.98 Bn |
| Sep 30, 2022 | 457.18 Bn |
| Jun 30, 2022 | 460.04 Bn |
| Mar 31, 2022 | 492.64 Bn |
| Dec 31, 2021 | 507.28 Bn |
| Sep 30, 2021 | 487.68 Bn |
Metlife Total Non-Current 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-non-current-liabilities&ticker=MET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();