Loews (L) Shares Outstanding (Entity) (2009 - 2026)
Loews (L) posted Shares Outstanding (Entity) of 204.43 million for Q2 2026, down 1.4% from 207.43 million a year earlier and down 0.7% from the prior quarter.
Loews (L) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Loews' Shares Outstanding (Entity) came in at 206.05 million, down 3.2% from FY2024.
- Annual Shares Outstanding (Entity) has declined for 16 consecutive years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- In prior years, Loews' Shares Outstanding (Entity) was 212.86 million in FY2024 (-4.2%), 222.2 million in FY2023 (-5.4%), 235 million in FY2022 (-5.3%) and 248.2 million in FY2021 (-7.1%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last 66 quarters, with an average decline of 3.6% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Entity) has ranged between 1.4% (Q2 2026) and 7.7% (Q3 2021) over the last five years.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 205.77 million (Q1 2026), 206.05 million (Q4 2025) and 206.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 142.34 Bn | 87.98 Bn | 8.67 Bn | 382.53 Mn |
| 2 | Progressive | 136.64 Bn | 136.64 Bn | - | - |
| 3 | Marsh & Mclennan Companies | 98.05 Bn | 90.21 Bn | - | 475.00 Mn |
| 4 | Travelers Companies | 84.07 Bn | 84.07 Bn | - | - |
| 5 | Manulife Financial | 76.36 Bn | -18.52 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.85 Bn | 71.85 Bn | - | - |
| 7 | Aon | 70.83 Bn | 50.04 Bn | - | 212.16 Mn |
| 8 | Allstate | 67.61 Bn | 28.88 Bn | 8.73 Bn | 254.00 Mn |
| 9 | Metlife | 64.94 Bn | -41.84 Bn | 7.82 Bn | 637.75 Mn |
| 10 | Loews | 22.93 Bn | 628.63 Mn | 2.57 Bn | 204.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.43 Mn |
| Mar 31, 2026 | 205.77 Mn |
| Dec 31, 2025 | 206.05 Mn |
| Sep 30, 2025 | 206.66 Mn |
| Jun 30, 2025 | 207.43 Mn |
| Mar 31, 2025 | 209.70 Mn |
| Dec 31, 2024 | 212.86 Mn |
| Sep 30, 2024 | 217.78 Mn |
| Jun 30, 2024 | 219.52 Mn |
| Mar 31, 2024 | 221.41 Mn |
| Dec 31, 2023 | 222.20 Mn |
| Sep 30, 2023 | 223.25 Mn |
| Jun 30, 2023 | 225.51 Mn |
| Mar 31, 2023 | 227.90 Mn |
| Dec 31, 2022 | 235.00 Mn |
| Sep 30, 2022 | 237.43 Mn |
| Jun 30, 2022 | 240.95 Mn |
| Mar 31, 2022 | 246.11 Mn |
| Dec 31, 2021 | 248.20 Mn |
| Sep 30, 2021 | 253.68 Mn |
Loews 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=L&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "L", "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=L&period=max&api_key=YOUR_API_KEY");
const data = await res.json();