Selective Insurance (SIGI) Shares Outstanding (2009 - 2026)
Selective Insurance's Shares Outstanding came in at 59.66 million for Q2 2026, down 1.9% from 60.84 million a year earlier and down 0.6% from the prior quarter.
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Analysis
Selective Insurance (SIGI) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Selective Insurance's Shares Outstanding was 60.62 million, down 0.4% from FY2024.
- Shares Outstanding carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 60.87 million in FY2024 (+0.4%), 60.63 million in FY2023 (+0.4%), 60.41 million in FY2022 (+0.4%) and 60.18 million in FY2021 (+0.5%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding since Q3 2020.
- Year-over-year, Shares Outstanding has declined for five consecutive quarters, with an average decline of 0.6% over the last seven quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q1 2022 (growth of 0.9%), and the weakest in Q2 2026 (a decline of 1.9%).
- Business Quant data shows SIGI's Shares Outstanding at 59.99 million (Q1 2026), 60.62 million (Q4 2025) and 60.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.44 Mn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 387.41 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 583.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 480.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 210.50 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.70 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 642.60 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 213.20 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 256.70 Mn |
| 10 | Selective Insurance | 4.98 Bn | 2.88 Bn | 570.77 Mn | 59.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.66 Mn |
| Mar 31, 2026 | 59.99 Mn |
| Dec 31, 2025 | 60.62 Mn |
| Sep 30, 2025 | 60.59 Mn |
| Jun 30, 2025 | 60.84 Mn |
| Mar 31, 2025 | 60.87 Mn |
| Dec 31, 2024 | 60.87 Mn |
| Sep 30, 2024 | 60.88 Mn |
| Jun 30, 2024 | 60.90 Mn |
| Mar 31, 2024 | 60.83 Mn |
| Dec 31, 2023 | 60.63 Mn |
| Sep 30, 2023 | 60.68 Mn |
| Jun 30, 2023 | 60.61 Mn |
| Mar 31, 2023 | 60.54 Mn |
| Dec 31, 2022 | 60.41 Mn |
| Sep 30, 2022 | 60.40 Mn |
| Jun 30, 2022 | 60.44 Mn |
| Mar 31, 2022 | 60.38 Mn |
| Dec 31, 2021 | 60.18 Mn |
| Sep 30, 2021 | 60.23 Mn |
API Access
Selective Insurance Shares Outstanding 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&ticker=SIGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SIGI", "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&ticker=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();