Dorman Products (DORM) Cash & Equivalents (2010 - 2026)
Dorman Products' Cash & Equivalents came in at $131.98 million for Q2 2026, up 132.2% from $56.85 million a year earlier and up 206.5% from the prior quarter.
Powered by 
Analysis
Dorman Products (DORM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Dorman Products' Cash & Equivalents was $49.44 million, down 13.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -20.5% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $57.14 million in FY2024 (+55.2%), $36.81 million in FY2023 (-20.0%), $46.03 million in FY2022 (-21.7%) and $58.78 million in FY2021 (-62.2%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q2 2021.
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 38.1%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2026 (growth of 132.2%), and the weakest in Q1 2022 (a decline of 67.9%).
- Business Quant data shows DORM's Cash & Equivalents at $43.06 million (Q1 2026), $49.44 million (Q4 2025) and $55.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,212.52 Bn | 1,047.07 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Ferrari | 147.55 Bn | 140.05 Bn | 1.18 Bn | 1.70 Bn |
| 3 | General Motors | 65.56 Bn | -37.34 Bn | 9.28 Bn | 23.20 Bn |
| 4 | Honda Motor | 52.27 Bn | -95.89 Bn | 8.46 Bn | 32.71 Bn |
| 5 | Ford Motor | 46.77 Bn | -95.70 Bn | 6.08 Bn | 18.60 Bn |
| 6 | Toyota Motor | 25.49 Bn | -375.32 Bn | 20.95 Bn | 63.88 Bn |
| 7 | Magna International | 18.13 Bn | 12.50 Bn | 1.61 Bn | 1.43 Bn |
| 8 | Rivian Automotive | 16.43 Bn | -6.86 Bn | 179.00 Mn | 3.59 Bn |
| 9 | Stellantis | 12.34 Bn | -151.78 Bn | 5.55 Bn | 38.49 Bn |
| 10 | Dorman Products | 3.78 Bn | 3.50 Bn | 251.23 Mn | 131.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 131.98 Mn |
| Mar 28, 2026 | 43.06 Mn |
| Dec 31, 2025 | 49.44 Mn |
| Sep 27, 2025 | 55.51 Mn |
| Jun 28, 2025 | 56.85 Mn |
| Mar 29, 2025 | 60.61 Mn |
| Dec 31, 2024 | 57.14 Mn |
| Sep 28, 2024 | 45.13 Mn |
| Jun 29, 2024 | 47.47 Mn |
| Mar 30, 2024 | 34.43 Mn |
| Dec 31, 2023 | 36.81 Mn |
| Sep 30, 2023 | 31.95 Mn |
| Jul 1, 2023 | 35.67 Mn |
| Apr 1, 2023 | 33.31 Mn |
| Dec 31, 2022 | 46.03 Mn |
| Sep 24, 2022 | 35.44 Mn |
| Jun 25, 2022 | 51.97 Mn |
| Mar 26, 2022 | 53.43 Mn |
| Dec 25, 2021 | 58.78 Mn |
| Sep 25, 2021 | 57.26 Mn |
API Access
Dorman Products Cash & Equivalents 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=cash-and-equivalents&ticker=DORM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();