Metlife (MET) Long-Term Debt Repayments (2009 - 2026)
Metlife (MET) reported Long-Term Debt Repayments of $164 million for Q2 2026, compared with $3 million a year earlier and up 209.4% from the prior quarter.
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Analysis
Metlife (MET) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Metlife's Long-Term Debt Repayments came in at $1.04 billion, up 71.1% year-over-year; for FY2025, it came in at $1.38 billion, down 22.8% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 56.4% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.79 billion in FY2024 (+73.1%), $1.04 billion in FY2023, $85 million in FY2022 (-85.4%) and $582 million in FY2021 (+293.2%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $1 million in Q3 2024 and a high of $1.48 billion in Q2 2024.
- Year over year, Long-Term Debt Repayments gained in two of the last five quarters, with growth averaging 71.5%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2021 (growth of 631.4%); the low point was Q2 2025 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $53 million (Q1 2026), $774 million (Q4 2025) and $51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | 5.00 Mn |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | - |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | 164.00 Mn |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | - |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | - |
| 10 | Aon | 58.62 Bn | 51.84 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164.00 Mn |
| Mar 31, 2026 | 53.00 Mn |
| Dec 31, 2025 | 774.00 Mn |
| Sep 30, 2025 | 51.00 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | 555.00 Mn |
| Dec 31, 2024 | 50.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 1.48 Bn |
| Mar 31, 2024 | 264.00 Mn |
| Dec 31, 2023 | 8.00 Mn |
| Sep 30, 2023 | 8.00 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | 1.01 Bn |
| Dec 31, 2022 | 8.00 Mn |
| Sep 30, 2022 | 52.00 Mn |
| Jun 30, 2022 | 13.00 Mn |
| Mar 31, 2022 | 12.00 Mn |
| Dec 31, 2021 | 42.00 Mn |
| Sep 30, 2021 | 512.00 Mn |
API Access
Metlife Long-Term Debt Repayments 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-debt-repayments&ticker=MET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-debt-repayments&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();