Metlife (MET) EPS (Diluted) (2009 - 2026)
Metlife's EPS (Diluted) was $1.09 in Q2 2026, up 5.4% from $1.03 a year earlier but down 37.3% from the prior quarter.
Metlife (MET) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Metlife's EPS (Diluted) was $5.32 through Jun 30, 2026, down 12.2% year-over-year; for FY2025, it was $4.71, down 20.7% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In earlier years, EPS (Diluted) was $5.94 in FY2024 (+228.3%), $1.81 in FY2023 (-71.3%), $6.30 in FY2022 (-17.6%) and $7.65 in FY2021 (+34.6%).
- Quarterly EPS (Diluted) has moved between $0.02 (Q1 2023) and $1.91 (Q4 2022) over five years.
- Compared with a year earlier, EPS (Diluted) was higher in five of the last eight quarters, with growth averaging 41.0%.
- The best year-over-year quarter for EPS (Diluted) over five years was Q1 2022 (growth of 481.9%); the worst was Q1 2023 (a decline of 99.1%).
- Per Business Quant data, MET's EPS (Diluted) in the three quarters before Q2 2026 was $1.74 (Q1 2026), $1.16 (Q4 2025) and $1.22 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.03 Bn | 85.67 Bn | 8.67 Bn | 7.30 |
| 2 | Progressive | 131.48 Bn | 107.00 Bn | 8.29 Bn | 4.37 |
| 3 | Marsh & Mclennan Companies | 97.63 Bn | 89.79 Bn | - | 1.69 |
| 4 | Travelers Companies | 81.36 Bn | 58.84 Bn | 5.93 Bn | 9.10 |
| 5 | Manulife Financial | 75.22 Bn | -20.29 Bn | - | 0.60 |
| 6 | Arthur J. Gallagher | 71.87 Bn | 66.47 Bn | - | 1.55 |
| 7 | Aon | 71.29 Bn | 50.49 Bn | - | 2.23 |
| 8 | Metlife | 65.91 Bn | -40.87 Bn | 7.82 Bn | 1.09 |
| 9 | Allstate | 63.47 Bn | 23.31 Bn | 7.41 Bn | 8.03 |
| 10 | Aflac | 62.22 Bn | 38.58 Bn | 1.87 Bn | 0.61 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 |
| Mar 31, 2026 | 1.74 |
| Dec 31, 2025 | 1.16 |
| Sep 30, 2025 | 1.22 |
| Jun 30, 2025 | 1.03 |
| Mar 31, 2025 | 1.28 |
| Dec 31, 2024 | 1.74 |
| Sep 30, 2024 | 1.81 |
| Jun 30, 2024 | 1.28 |
| Mar 31, 2024 | 1.10 |
| Dec 31, 2023 | 0.75 |
| Sep 30, 2023 | 0.56 |
| Jun 30, 2023 | 0.48 |
| Mar 31, 2023 | 0.02 |
| Dec 31, 2022 | 1.91 |
| Sep 30, 2022 | 1.37 |
| Jun 30, 2022 | 1.08 |
| Mar 31, 2022 | 1.89 |
| Dec 31, 2021 | 1.70 |
| Sep 30, 2021 | 1.77 |
Metlife EPS (Diluted) 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=eps-diluted&ticker=MET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();