Donegal (DGICA) Shares Outstanding (Diluted) (2012 - 2026)
Donegal (DGICA) reported Shares Outstanding (Diluted) of 37.47 million for Q2 2026, up 1.5% from 36.91 million a year earlier but down 0.1% from the prior quarter.
Donegal (DGICA) Shares Outstanding (Diluted) (2012 - 2026) Analysis & Trends
For FY2025, Donegal posted Shares Outstanding (Diluted) of 36.82 million, up 30.4% from FY2024.
- Shares Outstanding (Diluted) has increased for nine consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 28.25 million in FY2024 (+2.5%), 27.56 million in FY2023 (+4.4%), 26.41 million in FY2022 (+3.4%) and 25.53 million in FY2021 (+6.9%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 25.53 million in Q4 2021 and a high of 37.51 million in Q1 2026.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 33 quarters, with growth averaging 8.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 1.1% (Q2 2024) to 30.4% (Q4 2025).
- Per Business Quant data, the three quarters before Q2 2026 came in at 37.51 million (Q1 2026), 36.82 million (Q4 2025) and 37.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 391.25 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 584.20 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 482.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 213.60 Mn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 1.71 Bn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 646.90 Mn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 258.70 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 213.90 Mn |
| 10 | Donegal | 575.07 Mn | 450.49 Mn | 108.56 Mn | 37.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.47 Mn |
| Mar 31, 2026 | 37.51 Mn |
| Dec 31, 2025 | 36.82 Mn |
| Sep 30, 2025 | 37.02 Mn |
| Jun 30, 2025 | 36.91 Mn |
| Mar 31, 2025 | 36.01 Mn |
| Dec 31, 2024 | 28.25 Mn |
| Sep 30, 2024 | 33.64 Mn |
| Jun 30, 2024 | 33.42 Mn |
| Mar 31, 2024 | 33.42 Mn |
| Dec 31, 2023 | 27.56 Mn |
| Sep 30, 2023 | 33.17 Mn |
| Jun 30, 2023 | 33.07 Mn |
| Mar 31, 2023 | 32.94 Mn |
| Dec 31, 2022 | 26.41 Mn |
| Sep 30, 2022 | 32.36 Mn |
| Jun 30, 2022 | 31.65 Mn |
| Mar 31, 2022 | 31.39 Mn |
| Dec 31, 2021 | 25.53 Mn |
| Sep 30, 2021 | 31.25 Mn |
Donegal 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=DGICA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DGICA", "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=DGICA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();