Metlife (MET) Shares Outstanding (Diluted) (2009 - 2026)
Metlife (MET) reported Shares Outstanding (Diluted) of 646.9 million for Q2 2026, down 4.2% from 675 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Metlife (MET) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Metlife posted Shares Outstanding (Diluted) of 673.3 million, down 5.3% from FY2024.
- Shares Outstanding (Diluted) has declined for 11 consecutive years, with a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 711.1 million in FY2024 (-6.7%), 762.3 million in FY2023 (-5.8%), 808.9 million in FY2022 (-7.0%) and 869.4 million in FY2021 (-4.8%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 46 quarters, with an average decline of 5.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 4.2% in Q2 2026 to 7.4% in Q2 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at 655.7 million (Q1 2026), 673.3 million (Q4 2025) and 669.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.72 Bn | 81.30 Bn | 9.13 Bn | 391.25 Mn |
| 2 | Progressive | 130.41 Bn | 106.24 Bn | 9.04 Bn | 584.20 Mn |
| 3 | Marsh & Mclennan Companies | 85.49 Bn | 76.98 Bn | - | 482.00 Mn |
| 4 | Travelers Companies | 78.59 Bn | 54.84 Bn | 6.23 Bn | 213.60 Mn |
| 5 | Manulife Financial | 73.78 Bn | -21.10 Bn | - | 1.71 Bn |
| 6 | Metlife | 64.71 Bn | -42.07 Bn | 7.82 Bn | 646.90 Mn |
| 7 | Allstate | 60.59 Bn | 21.86 Bn | 8.73 Bn | 259.10 Mn |
| 8 | Arthur J. Gallagher | 60.16 Bn | 54.57 Bn | - | 258.70 Mn |
| 9 | Aon | 58.80 Bn | 52.02 Bn | - | 213.90 Mn |
| 10 | Aflac | 58.68 Bn | 33.89 Bn | 2.27 Bn | 505.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 646.90 Mn |
| Mar 31, 2026 | 655.70 Mn |
| Dec 31, 2025 | 673.30 Mn |
| Sep 30, 2025 | 669.10 Mn |
| Jun 30, 2025 | 675.00 Mn |
| Mar 31, 2025 | 687.00 Mn |
| Dec 31, 2024 | 711.10 Mn |
| Sep 30, 2024 | 703.70 Mn |
| Jun 30, 2024 | 714.70 Mn |
| Mar 31, 2024 | 728.40 Mn |
| Dec 31, 2023 | 762.30 Mn |
| Sep 30, 2023 | 755.50 Mn |
| Jun 30, 2023 | 769.60 Mn |
| Mar 31, 2023 | 781.20 Mn |
| Dec 31, 2022 | 808.90 Mn |
| Sep 30, 2022 | 800.70 Mn |
| Jun 30, 2022 | 814.50 Mn |
| Mar 31, 2022 | 830.50 Mn |
| Dec 31, 2021 | 869.40 Mn |
| Sep 30, 2021 | 861.20 Mn |
API Access
Metlife Shares Outstanding (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=shares-outstanding-diluted&ticker=MET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();