Dorman Products (DORM) Total Liabilities (2010 - 2026)
Dorman Products (DORM) posted Total Liabilities of $985.12 million for Q2 2026, down 8.1% from $1.07 billion a year earlier but up 1.7% from the prior quarter.
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Analysis
Dorman Products (DORM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dorman Products' Total Liabilities came in at $1.02 billion, down 10.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In prior years, Dorman Products' Total Liabilities was $1.13 billion in FY2024 (+0.6%), $1.12 billion in FY2023 (-13.5%), $1.3 billion in FY2022 (+75.5%) and $740.38 million in FY2021 (+101.7%).
- Quarterly Total Liabilities has run from a low of $711.32 million in Q3 2021 to a high of $1.3 billion in Q4 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last five quarters, with an average decline of 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 117.2%; the weakest was Q1 2024, with a decline of 13.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $968.43 million (Q1 2026), $1.02 billion (Q4 2025) and $1.07 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 7.49 Bn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 224.67 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 249.78 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 134.69 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 403.44 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | 10.01 Bn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 173.26 Bn |
| 10 | Dorman Products | 3.69 Bn | 3.41 Bn | 251.23 Mn | 985.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 985.12 Mn |
| Mar 28, 2026 | 968.43 Mn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 27, 2025 | 1.07 Bn |
| Jun 28, 2025 | 1.07 Bn |
| Mar 29, 2025 | 1.09 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 28, 2024 | 1.13 Bn |
| Jun 29, 2024 | 1.08 Bn |
| Mar 30, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 1.13 Bn |
| Jul 1, 2023 | 1.17 Bn |
| Apr 1, 2023 | 1.21 Bn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 24, 2022 | 780.17 Mn |
| Jun 25, 2022 | 770.21 Mn |
| Mar 26, 2022 | 764.90 Mn |
| Dec 25, 2021 | 740.38 Mn |
| Sep 25, 2021 | 711.32 Mn |
API Access
Dorman Products Total Liabilities 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=total-liabilities&ticker=DORM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();