Donegal (DGICA) Operating Margin (2010 - 2026)
Donegal (DGICA) reported Operating Margin of -43.55% for Q2 2026, up 9.25 percentage points from -52.80% a year earlier and up 10.64 percentage points from the prior quarter.
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Analysis
Donegal (DGICA) Operating Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Donegal's Operating Margin came in at -48.62%, down 1.42 percentage points year-over-year; for FY2025, it came in at -47.72%, up 7.02 percentage points from FY2024.
- Operating Margin has increased for three consecutive years, with a five-year change of +3.25 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -54.75% in FY2024 (+10.40 pp), -65.14% in FY2023 (+1.79 pp), -66.93% in FY2022 (-6.87 pp) and -60.06% in FY2021 (-9.09 pp).
- The Q2 2026 figure ranks as the highest quarterly Operating Margin since Q1 2025.
- Year over year, Operating Margin gained in six of the last eight quarters, with an average year-over-year change of +8.32 percentage points.
- The high point for year-over-year Operating Margin in five years was Q4 2024 (a gain of 24.45 percentage points); the low point was Q2 2022 (a drop of 28.54 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -54.19% (Q1 2026), -49.02% (Q4 2025) and -47.85% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 17.70% |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | - |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | -53.77% |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | -30.76% |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 21.55% |
| 10 | Donegal | 689.13 Mn | 564.55 Mn | 108.56 Mn | -43.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -43.55% |
| Mar 31, 2026 | -54.19% |
| Dec 31, 2025 | -49.02% |
| Sep 30, 2025 | -47.85% |
| Jun 30, 2025 | -52.80% |
| Mar 31, 2025 | -41.14% |
| Dec 31, 2024 | -44.72% |
| Sep 30, 2024 | -50.06% |
| Jun 30, 2024 | -64.98% |
| Mar 31, 2024 | -59.57% |
| Dec 31, 2023 | -69.17% |
| Sep 30, 2023 | -67.41% |
| Jun 30, 2023 | -65.00% |
| Mar 31, 2023 | -58.65% |
| Dec 31, 2022 | -64.78% |
| Sep 30, 2022 | -79.46% |
| Jun 30, 2022 | -74.49% |
| Mar 31, 2022 | -48.96% |
| Dec 31, 2021 | -63.20% |
| Sep 30, 2021 | -77.19% |
API Access
Donegal Operating Margin 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-margin&ticker=DGICA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=DGICA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();