Everest (EG) Shares Outstanding (Entity) (2009 - 2026)
Everest (EG) posted Shares Outstanding (Entity) of 38.8 million for Q2 2026, down 7.2% from 41.8 million a year earlier and down 2.5% from the prior quarter.
Everest (EG) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Everest's Shares Outstanding (Entity) came in at 41.6 million, down 2.6% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, Everest's Shares Outstanding (Entity) was 42.7 million in FY2024 (+3.4%), 41.3 million in FY2023 (+5.9%), 39 million in FY2022 (unchanged) and 39 million in FY2021 (-2.5%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q1 2023.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last six quarters, with an average decline of 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q1 2024, with growth of 10.9%; the weakest was Q2 2026, with a decline of 7.2%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 39.8 million (Q1 2026), 41.6 million (Q4 2025) and 41.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 382.53 Mn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 579.36 Mn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 475.00 Mn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 204.95 Mn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | 1.70 Bn |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 256.40 Mn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 212.16 Mn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 637.75 Mn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 249.00 Mn |
| 10 | Everest | 15.54 Bn | -71.36 Mn | 1.28 Bn | 37.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.80 Mn |
| Mar 31, 2026 | 39.80 Mn |
| Dec 31, 2025 | 41.60 Mn |
| Sep 30, 2025 | 41.40 Mn |
| Jun 30, 2025 | 41.80 Mn |
| Mar 31, 2025 | 42.30 Mn |
| Dec 31, 2024 | 42.70 Mn |
| Sep 30, 2024 | 42.60 Mn |
| Jun 30, 2024 | 42.80 Mn |
| Mar 31, 2024 | 42.90 Mn |
| Dec 31, 2023 | 41.30 Mn |
| Sep 30, 2023 | 42.90 Mn |
| Jun 30, 2023 | 40.70 Mn |
| Mar 31, 2023 | 38.70 Mn |
| Dec 31, 2022 | 39.00 Mn |
| Sep 30, 2022 | 38.80 Mn |
| Jun 30, 2022 | 38.90 Mn |
| Mar 31, 2022 | 38.82 Mn |
| Dec 31, 2021 | 39.00 Mn |
| Sep 30, 2021 | 39.16 Mn |
Everest 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=EG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "EG", "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=EG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();