Metlife (MET) Retained Earnings (2009 - 2026)
Metlife (MET) posted Retained Earnings of $45.38 billion for Q2 2026, up 4.4% from $43.45 billion a year earlier and up 0.7% from the prior quarter.
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Analysis
Metlife (MET) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Metlife's Retained Earnings came in at $44.29 billion, up 3.9% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In prior years, Metlife's Retained Earnings was $42.63 billion in FY2024 (+6.2%), $40.15 billion in FY2023 (-0.5%), $40.33 billion in FY2022 (-2.1%) and $41.2 billion in FY2021 (+12.9%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q2 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last ten quarters, with growth averaging 5.2% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q1 2022, with growth of 13.8%; the weakest was Q1 2023, with a decline of 3.5%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $45.06 billion (Q1 2026), $44.29 billion (Q4 2025) and $43.89 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 798.96 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 71.68 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 32.26 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 29.30 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 58.35 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 45.38 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 82.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 6.59 Bn |
| 10 | Allstate | 56.37 Bn | 17.62 Bn | 8.73 Bn | 67.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.38 Bn |
| Mar 31, 2026 | 45.06 Bn |
| Dec 31, 2025 | 44.29 Bn |
| Sep 30, 2025 | 43.89 Bn |
| Jun 30, 2025 | 43.45 Bn |
| Mar 31, 2025 | 43.13 Bn |
| Dec 31, 2024 | 42.63 Bn |
| Sep 30, 2024 | 41.77 Bn |
| Jun 30, 2024 | 40.87 Bn |
| Mar 31, 2024 | 40.35 Bn |
| Dec 31, 2023 | 40.15 Bn |
| Sep 30, 2023 | 39.96 Bn |
| Jun 30, 2023 | 39.93 Bn |
| Mar 31, 2023 | 39.96 Bn |
| Dec 31, 2022 | 40.33 Bn |
| Sep 30, 2022 | 41.03 Bn |
| Jun 30, 2022 | 41.10 Bn |
| Mar 31, 2022 | 41.41 Bn |
| Dec 31, 2021 | 41.20 Bn |
| Sep 30, 2021 | 40.43 Bn |
API Access
Metlife Retained Earnings 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=retained-earnings&ticker=MET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();