Dorman Products (DORM) Total Non-Current Liabilities (2010 - 2026)
Dorman Products' Total Non-Current Liabilities was $963.8 million in Q2 2026, down 8.4% from $1.05 billion a year earlier but up 1.7% from the prior quarter.
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Analysis
Dorman Products (DORM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Dorman Products came in at $995.79 million, down 10.5% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.11 billion in FY2024 (-0.2%), $1.11 billion in FY2023 (-12.3%), $1.27 billion in FY2022 (+72.8%) and $735.47 million in FY2021 (+102.3%).
- Quarterly Total Non-Current Liabilities has moved between $706.62 million (Q3 2021) and $1.27 billion (Q4 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for five straight quarters, with an average decline of 4.4% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 122.3%); the worst was Q1 2024 (a decline of 13.3%).
- Per Business Quant data, DORM's Total Non-Current Liabilities in the three quarters before Q2 2026 was $947.73 million (Q1 2026), $995.79 million (Q4 2025) and $1.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 5.53 Bn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 118.34 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 219.21 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 3.36 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 | 8.76 Bn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 73.67 Bn |
| 10 | Dorman Products | 3.69 Bn | 3.41 Bn | 251.23 Mn | 963.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 963.80 Mn |
| Mar 28, 2026 | 947.73 Mn |
| Dec 31, 2025 | 995.79 Mn |
| Sep 27, 2025 | 1.05 Bn |
| Jun 28, 2025 | 1.05 Bn |
| Mar 29, 2025 | 1.07 Bn |
| Dec 31, 2024 | 1.11 Bn |
| Sep 28, 2024 | 1.12 Bn |
| Jun 29, 2024 | 1.07 Bn |
| Mar 30, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.11 Bn |
| Sep 30, 2023 | 1.12 Bn |
| Jul 1, 2023 | 1.15 Bn |
| Apr 1, 2023 | 1.19 Bn |
| Dec 31, 2022 | 1.27 Bn |
| Sep 24, 2022 | 775.01 Mn |
| Jun 25, 2022 | 765.09 Mn |
| Mar 26, 2022 | 759.45 Mn |
| Dec 25, 2021 | 735.47 Mn |
| Sep 25, 2021 | 706.62 Mn |
API Access
Dorman Products Total Non-Current 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-non-current-liabilities&ticker=DORM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();