Dorman Products (DORM) Cost of Revenue (2010 - 2026)
Dorman Products' Cost of Revenue was $293.37 million in Q2 2026, down 8.7% from $321.45 million a year earlier and down 13.4% from the prior quarter.
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Analysis
Dorman Products (DORM) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dorman Products' Cost of Revenue was $1.24 billion through Jun 27, 2026, up 0.8% year-over-year; for FY2025, it was $1.23 billion, up 2.5% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $1.2 billion in FY2024 (-3.3%), $1.24 billion in FY2023 (+6.4%), $1.17 billion in FY2022 (+32.5%) and $882.33 million in FY2021 (+24.3%).
- The Q2 2026 figure marks the lowest quarterly Cost of Revenue since Q1 2024.
- Compared with a year earlier, Cost of Revenue was higher in five of the last eight quarters, with growth averaging 2.1%.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2022 (growth of 46.2%); the worst was Q4 2023 (a decline of 12.6%).
- Per Business Quant data, DORM's Cost of Revenue in the three quarters before Q2 2026 was $338.62 million (Q1 2026), $308.84 million (Q4 2025) and $302.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 23.49 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 63.91 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 1.07 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 29.57 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 40.70 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 42.22 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 1.48 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 9.37 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 44.99 Bn |
| 10 | Dorman Products | 3.65 Bn | 3.37 Bn | 251.23 Mn | 293.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 293.37 Mn |
| Mar 28, 2026 | 338.62 Mn |
| Dec 31, 2025 | 308.84 Mn |
| Sep 27, 2025 | 302.31 Mn |
| Jun 28, 2025 | 321.45 Mn |
| Mar 29, 2025 | 299.98 Mn |
| Dec 31, 2024 | 312.06 Mn |
| Sep 28, 2024 | 299.97 Mn |
| Jun 29, 2024 | 303.55 Mn |
| Mar 30, 2024 | 287.26 Mn |
| Dec 31, 2023 | 300.07 Mn |
| Sep 30, 2023 | 304.97 Mn |
| Jul 1, 2023 | 317.06 Mn |
| Apr 1, 2023 | 322.26 Mn |
| Dec 31, 2022 | 343.51 Mn |
| Sep 24, 2022 | 281.56 Mn |
| Jun 25, 2022 | 275.89 Mn |
| Mar 26, 2022 | 268.34 Mn |
| Dec 25, 2021 | 266.76 Mn |
| Sep 25, 2021 | 231.57 Mn |
API Access
Dorman Products Cost of Revenue 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=cost-of-revenue&ticker=DORM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "DORM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();