Dorman Products (DORM) EBITDA (2010 - 2026)
Dorman Products (DORM) recorded EBITDA of $130.13 million in Q2 2026, up 35.0% from $96.4 million a year earlier and up 78.8% from the prior quarter.
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Analysis
Dorman Products (DORM) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Dorman Products' EBITDA came in at $367.87 million as of Jun 27, 2026, down 4.4% year-over-year; for FY2025, it came in at $355.28 million, up 1.6% from FY2024.
- Annual EBITDA has increased for six straight years, with a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $349.61 million in FY2024 (+29.7%), $269.49 million in FY2023 (+24.9%), $215.73 million in FY2022 (+4.3%) and $206.74 million in FY2021 (+24.8%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 8.0%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 115.7% in Q1 2024, against a decline of 55.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $72.78 million (Q1 2026), $45.18 million (Q4 2025) and $119.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,251.68 Bn | 1,077.71 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Ferrari | 70.67 Bn | 63.16 Bn | 1.18 Bn | 878.33 Mn |
| 3 | General Motors | 66.35 Bn | -38.26 Bn | 9.28 Bn | 4.80 Bn |
| 4 | Ford Motor | 47.64 Bn | -94.85 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 45.37 Bn | -104.44 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 10.70 Bn |
| 7 | Magna International | 18.14 Bn | 12.17 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.68 Bn | -6.63 Bn | 179.00 Mn | -599.00 Mn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Dorman Products | 3.72 Bn | 3.44 Bn | 251.23 Mn | 130.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 130.13 Mn |
| Mar 28, 2026 | 72.78 Mn |
| Dec 31, 2025 | 45.18 Mn |
| Sep 27, 2025 | 119.79 Mn |
| Jun 28, 2025 | 96.40 Mn |
| Mar 29, 2025 | 93.92 Mn |
| Dec 31, 2024 | 100.43 Mn |
| Sep 28, 2024 | 94.08 Mn |
| Jun 29, 2024 | 86.80 Mn |
| Mar 30, 2024 | 68.29 Mn |
| Dec 31, 2023 | 91.18 Mn |
| Sep 30, 2023 | 78.03 Mn |
| Jul 1, 2023 | 68.63 Mn |
| Apr 1, 2023 | 31.65 Mn |
| Dec 31, 2022 | 46.32 Mn |
| Sep 24, 2022 | 53.63 Mn |
| Jun 25, 2022 | 59.32 Mn |
| Mar 26, 2022 | 56.46 Mn |
| Dec 25, 2021 | 55.36 Mn |
| Sep 25, 2021 | 52.27 Mn |
API Access
Dorman Products EBITDA 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=ebitda&ticker=DORM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();