Donegal (DGICA) Income from Continuing Operations (2010 - 2026)
Donegal's Income from Continuing Operations came in at $22.31 million for Q2 2026, up 32.3% from $16.87 million a year earlier and up 93.8% from the prior quarter.
Donegal (DGICA) Income from Continuing Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Donegal reported Income from Continuing Operations of $71.09 million, down 14.2% year-over-year; for FY2025, it came in at $79.34 million, up 56.0% from FY2024.
- Income from Continuing Operations carries a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, Income from Continuing Operations was $50.86 million in FY2024, $4.43 million in FY2023, -$1.96 million in FY2022 and $25.25 million in FY2021 (-52.2%).
- The Q2 2026 figure represents the highest quarterly Income from Continuing Operations since Q1 2025.
- Year-over-year, Income from Continuing Operations increased in four of the last six quarters, with growth averaging 99.8%.
- The fastest year-over-year change in Income from Continuing Operations over five years came in Q1 2025 (growth of 323.2%), and the weakest in Q4 2021 (a decline of 63.8%).
- Business Quant data shows DGICA's Income from Continuing Operations at $11.51 million (Q1 2026), $17.19 million (Q4 2025) and $20.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 25.77 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 2.88 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 3.31 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.29 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 2.21 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 2.33 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 779.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 565.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 324.00 Mn |
| 10 | Donegal | 559.96 Mn | 435.38 Mn | 108.56 Mn | 22.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.31 Mn |
| Mar 31, 2026 | 11.51 Mn |
| Dec 31, 2025 | 17.19 Mn |
| Sep 30, 2025 | 20.08 Mn |
| Jun 30, 2025 | 16.87 Mn |
| Mar 31, 2025 | 25.21 Mn |
| Dec 31, 2024 | 24.00 Mn |
| Sep 30, 2024 | 16.75 Mn |
| Jun 30, 2024 | 4.15 Mn |
| Mar 31, 2024 | 5.96 Mn |
| Dec 31, 2023 | -1.97 Mn |
| Sep 30, 2023 | -805,301.00 |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 5.20 Mn |
| Dec 31, 2022 | 3.48 Mn |
| Sep 30, 2022 | -10.38 Mn |
| Jun 30, 2022 | -8.21 Mn |
| Mar 31, 2022 | 13.15 Mn |
| Dec 31, 2021 | 5.27 Mn |
| Sep 30, 2021 | -6.71 Mn |
Donegal Income from Continuing Operations 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=income-from-continuing-operations&ticker=DGICA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=DGICA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();