Donegal (DGICA) Operating Expenses (2010 - 2026)
Donegal (DGICA) recorded Operating Expenses of $213.57 million in Q2 2026, down 5.8% from $226.72 million a year earlier and down 3.7% from the prior quarter.
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Analysis
Donegal (DGICA) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Donegal's Operating Expenses came in at $875.5 million as of Jun 30, 2026, down 1.9% year-over-year; for FY2025, it was $880.42 million, down 5.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $927.27 million in FY2024 (+0.5%), $922.27 million in FY2023 (+8.3%), $851.86 million in FY2022 (+8.4%) and $786.13 million in FY2021 (+10.0%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2022.
- On a year-over-year basis, Operating Expenses rose in 1 of the last eight quarters, with an average decline of 4.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 16.2% in Q3 2021, against a decline of 9.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $221.87 million (Q1 2026), $219.18 million (Q4 2025) and $220.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 3.59 Bn |
| 10 | Donegal | 559.96 Mn | 435.38 Mn | 108.56 Mn | 213.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 213.57 Mn |
| Mar 31, 2026 | 221.87 Mn |
| Dec 31, 2025 | 219.18 Mn |
| Sep 30, 2025 | 220.87 Mn |
| Jun 30, 2025 | 226.72 Mn |
| Mar 31, 2025 | 214.01 Mn |
| Dec 31, 2024 | 220.29 Mn |
| Sep 30, 2024 | 231.33 Mn |
| Jun 30, 2024 | 241.76 Mn |
| Mar 31, 2024 | 233.89 Mn |
| Dec 31, 2023 | 241.95 Mn |
| Sep 30, 2023 | 234.93 Mn |
| Jun 30, 2023 | 226.94 Mn |
| Mar 31, 2023 | 218.45 Mn |
| Dec 31, 2022 | 219.36 Mn |
| Sep 30, 2022 | 226.21 Mn |
| Jun 30, 2022 | 214.89 Mn |
| Mar 31, 2022 | 191.40 Mn |
| Dec 31, 2021 | 203.72 Mn |
| Sep 30, 2021 | 211.74 Mn |
API Access
Donegal Operating Expenses 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=operating-expenses&ticker=DGICA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DGICA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();