Dorman Products (DORM) Operating Expenses (2010 - 2026)
Dorman Products (DORM) posted Operating Expenses of $135.01 million for Q2 2026, down 1.5% from $137.03 million a year earlier but up 2.8% from the prior quarter.
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Analysis
Dorman Products (DORM) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Operating Expenses at Dorman Products was $543.2 million, up 3.6% year-over-year; for FY2025, it came in at $541.48 million, up 5.5% from FY2024.
- Annual Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In prior years, Dorman Products' Operating Expenses was $513.45 million in FY2024 (+9.1%), $470.66 million in FY2023 (+19.6%), $393.4 million in FY2022 (+35.0%) and $291.37 million in FY2021 (+16.7%).
- Quarterly Operating Expenses has run from a low of $72.66 million in Q3 2021 to a high of $141.14 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 5.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 46.0%; the weakest was Q4 2023, with a decline of 6.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $131.37 million (Q1 2026), $141.14 million (Q4 2025) and $135.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,251.17 Bn | 1,077.19 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Ferrari | 70.62 Bn | 63.11 Bn | 1.18 Bn | 471.42 Mn |
| 3 | General Motors | 66.43 Bn | -38.18 Bn | 9.28 Bn | 46.42 Bn |
| 4 | Ford Motor | 47.43 Bn | -95.07 Bn | 6.08 Bn | 47.66 Bn |
| 5 | Honda Motor | 45.30 Bn | -104.51 Bn | 8.46 Bn | -34.70 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 78.18 Bn |
| 7 | Magna International | 17.98 Bn | 12.01 Bn | 1.61 Bn | 273.20 Mn |
| 8 | Rivian Automotive | 16.52 Bn | -6.79 Bn | 179.00 Mn | 1.02 Bn |
| 9 | Stellantis | 12.21 Bn | -152.44 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Dorman Products | 3.69 Bn | 3.41 Bn | 251.23 Mn | 135.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 135.01 Mn |
| Mar 28, 2026 | 131.37 Mn |
| Dec 31, 2025 | 141.14 Mn |
| Sep 27, 2025 | 135.68 Mn |
| Jun 28, 2025 | 137.03 Mn |
| Mar 29, 2025 | 127.63 Mn |
| Dec 31, 2024 | 134.96 Mn |
| Sep 28, 2024 | 124.53 Mn |
| Jun 29, 2024 | 126.95 Mn |
| Mar 30, 2024 | 127.01 Mn |
| Dec 31, 2023 | 116.98 Mn |
| Sep 30, 2023 | 119.01 Mn |
| Jul 1, 2023 | 108.31 Mn |
| Apr 1, 2023 | 126.36 Mn |
| Dec 31, 2022 | 125.00 Mn |
| Sep 24, 2022 | 89.81 Mn |
| Jun 25, 2022 | 92.06 Mn |
| Mar 26, 2022 | 86.53 Mn |
| Dec 25, 2021 | 86.32 Mn |
| Sep 25, 2021 | 72.66 Mn |
API Access
Dorman Products 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=DORM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();