Metlife (MET) Shares Outstanding (Entity) (2009 - 2026)
Metlife (MET) recorded Shares Outstanding (Entity) of 637.75 million in Q2 2026, down 4.4% from 666.83 million a year earlier and down 1.3% from the prior quarter.
Metlife (MET) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Metlife reported Shares Outstanding (Entity) of 655.33 million, down 4.9% from FY2024.
- Annual Shares Outstanding (Entity) has declined for 11 straight years, with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 689.21 million in FY2024 (-5.7%), 730.82 million in FY2023 (-6.2%), 779.1 million in FY2022 (-5.6%) and 825.54 million in FY2021 (-7.5%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Entity) in data going back to Q2 2009.
- On a year-over-year basis, Shares Outstanding (Entity) has declined for 46 consecutive quarters, with an average decline of 5.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Entity) ranged from 4.1% (Q1 2026) to 7.5% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at 646.02 million (Q1 2026), 655.33 million (Q4 2025) and 660.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.30 Bn | 80.89 Bn | 9.13 Bn | 385.63 Mn |
| 2 | Progressive | 130.32 Bn | 106.15 Bn | 9.04 Bn | 581.37 Mn |
| 3 | Marsh & Mclennan Companies | 85.17 Bn | 76.66 Bn | - | 478.00 Mn |
| 4 | Travelers Companies | 78.40 Bn | 54.65 Bn | 6.23 Bn | 208.60 Mn |
| 5 | Manulife Financial | 73.81 Bn | -21.07 Bn | - | - |
| 6 | Metlife | 64.41 Bn | -42.37 Bn | 7.82 Bn | 637.75 Mn |
| 7 | Allstate | 60.46 Bn | 21.73 Bn | 8.73 Bn | 254.00 Mn |
| 8 | Arthur J. Gallagher | 60.04 Bn | 54.44 Bn | - | 256.30 Mn |
| 9 | Aon | 58.69 Bn | 51.91 Bn | - | 212.13 Mn |
| 10 | Aflac | 58.66 Bn | 33.88 Bn | 2.27 Bn | 502.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 637.75 Mn |
| Mar 31, 2026 | 646.02 Mn |
| Dec 31, 2025 | 655.33 Mn |
| Sep 30, 2025 | 660.72 Mn |
| Jun 30, 2025 | 666.83 Mn |
| Mar 31, 2025 | 673.29 Mn |
| Dec 31, 2024 | 689.21 Mn |
| Sep 30, 2024 | 693.65 Mn |
| Jun 30, 2024 | 703.76 Mn |
| Mar 31, 2024 | 715.66 Mn |
| Dec 31, 2023 | 730.82 Mn |
| Sep 30, 2023 | 744.37 Mn |
| Jun 30, 2023 | 757.21 Mn |
| Mar 31, 2023 | 769.18 Mn |
| Dec 31, 2022 | 779.10 Mn |
| Sep 30, 2022 | 787.34 Mn |
| Jun 30, 2022 | 797.58 Mn |
| Mar 31, 2022 | 814.81 Mn |
| Dec 31, 2021 | 825.54 Mn |
| Sep 30, 2021 | 844.53 Mn |
Metlife Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=MET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();