Dorman Products (DORM) Property, Plant & Equipment (Net) (2010 - 2026)
Dorman Products (DORM) reported Property, Plant & Equipment (Net) of $166.77 million for Q2 2026, up 0.1% from $166.61 million a year earlier and up 0.1% from the prior quarter.
Dorman Products (DORM) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Dorman Products posted Property, Plant & Equipment (Net) of $168.78 million, up 2.6% from FY2024.
- Property, Plant & Equipment (Net) has increased for five consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $164.5 million in FY2024 (+2.7%), $160.11 million in FY2023 (+7.8%), $148.48 million in FY2022 (+29.3%) and $114.86 million in FY2021 (+26.2%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $114.86 million in Q4 2021 and a high of $168.78 million in Q4 2025.
- Year over year, Property, Plant & Equipment (Net) gained in seven of the last eight quarters, with growth averaging 1.9%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2022 (growth of 33.8%); the low point was Q1 2026 (a decline of 0.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $166.62 million (Q1 2026), $168.78 million (Q4 2025) and $168.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,207.95 Bn | 1,033.98 Bn | 4.75 Bn | 47.26 Bn |
| 2 | Ferrari | 69.97 Bn | 62.46 Bn | 1.18 Bn | 2.45 Bn |
| 3 | General Motors | 66.10 Bn | -38.51 Bn | 9.28 Bn | 54.80 Bn |
| 4 | Ford Motor | 46.07 Bn | -96.43 Bn | 6.08 Bn | 39.96 Bn |
| 5 | Honda Motor | 45.54 Bn | -104.27 Bn | 8.46 Bn | 22.93 Bn |
| 6 | Toyota Motor | 25.49 Bn | -375.32 Bn | 20.95 Bn | 107.19 Bn |
| 7 | Magna International | 17.99 Bn | 12.02 Bn | 1.61 Bn | 8.85 Bn |
| 8 | Rivian Automotive | 15.64 Bn | -7.67 Bn | 179.00 Mn | 5.56 Bn |
| 9 | Stellantis | 11.71 Bn | -152.94 Bn | 5.55 Bn | 52.69 Bn |
| 10 | Dorman Products | 3.73 Bn | 3.45 Bn | 251.23 Mn | 166.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 166.77 Mn |
| Mar 28, 2026 | 166.62 Mn |
| Dec 31, 2025 | 168.78 Mn |
| Sep 27, 2025 | 168.46 Mn |
| Jun 28, 2025 | 166.61 Mn |
| Mar 29, 2025 | 167.06 Mn |
| Dec 31, 2024 | 164.50 Mn |
| Sep 28, 2024 | 165.73 Mn |
| Jun 29, 2024 | 165.77 Mn |
| Mar 30, 2024 | 162.44 Mn |
| Dec 31, 2023 | 160.11 Mn |
| Sep 30, 2023 | 157.74 Mn |
| Jul 1, 2023 | 156.54 Mn |
| Apr 1, 2023 | 151.54 Mn |
| Dec 31, 2022 | 148.48 Mn |
| Sep 24, 2022 | 122.11 Mn |
| Jun 25, 2022 | 117.93 Mn |
| Mar 26, 2022 | 116.23 Mn |
| Dec 25, 2021 | 114.86 Mn |
| Sep 25, 2021 | 116.31 Mn |
Dorman Products Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DORM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();