Dorman Products (DORM) Cash from Operations (2010 - 2026)
Dorman Products' Cash from Operations was $152.62 million in Q2 2026, compared with $8.55 million a year earlier and up 248.8% from the prior quarter.
Dorman Products (DORM) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dorman Products' Cash from Operations was $250.23 million through Jun 27, 2026, up 42.6% year-over-year; for FY2025, it came in at $113.63 million, down 50.8% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $231.05 million in FY2024 (+10.7%), $208.76 million in FY2023 (+400.8%), $41.69 million in FY2022 (-58.5%) and $100.34 million in FY2021 (-34.0%).
- The Q2 2026 figure marks the highest quarterly Cash from Operations since Q2 2020.
- Compared with a year earlier, Cash from Operations was higher in 1 of the last seven quarters, with an average decline of 31.2%.
- The best year-over-year quarter for Cash from Operations over five years was Q4 2023 (growth of 383.2%); the worst was Q2 2025 (a decline of 86.5%).
- Per Business Quant data, DORM's Cash from Operations in the three quarters before Q2 2026 was $43.76 million (Q1 2026), $41.64 million (Q4 2025) and $12.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 4.70 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 507.14 Mn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 7.32 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 4.35 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 1.84 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 3.37 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | 954.00 Mn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | -487.00 Mn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | -2.91 Bn |
| 10 | Dorman Products | 3.69 Bn | 3.41 Bn | 251.23 Mn | 152.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 152.62 Mn |
| Mar 28, 2026 | 43.76 Mn |
| Dec 31, 2025 | 41.64 Mn |
| Sep 27, 2025 | 12.21 Mn |
| Jun 28, 2025 | 8.55 Mn |
| Mar 29, 2025 | 51.24 Mn |
| Dec 31, 2024 | 71.43 Mn |
| Sep 28, 2024 | 44.29 Mn |
| Jun 29, 2024 | 63.35 Mn |
| Mar 30, 2024 | 51.98 Mn |
| Dec 31, 2023 | 59.65 Mn |
| Sep 30, 2023 | 56.22 Mn |
| Jul 1, 2023 | 66.68 Mn |
| Apr 1, 2023 | 26.21 Mn |
| Dec 31, 2022 | 12.34 Mn |
| Sep 24, 2022 | -8.04 Mn |
| Jun 25, 2022 | 14.17 Mn |
| Mar 26, 2022 | 23.21 Mn |
| Dec 25, 2021 | 22.74 Mn |
| Sep 25, 2021 | 38.51 Mn |
Dorman Products Cash from Operations 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-from-operations&ticker=DORM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();