Donegal (DGICA) Return on Sales [ROS] (2010 - 2026)
Donegal (DGICA) posted Return on Sales [ROS] 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) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Donegal was -48.62%, down 1.42 percentage points year-over-year; for FY2025, it was -47.72%, up 7.02 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +3.25 percentage points (FY2020 to FY2025).
- In prior years, Donegal's Return on Sales [ROS] was -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 stands as the highest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +8.32 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 24.45 percentage points; the weakest was Q2 2022, with a drop of 28.54 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Donegal | 575.07 Mn | 450.49 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DGICA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DGICA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();