Dorman Products (DORM) Retained Earnings (2010 - 2026)
Dorman Products (DORM) posted Retained Earnings of $1.38 billion for Q2 2026, up 7.7% from $1.28 billion a year earlier and up 3.2% from the prior quarter.
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Analysis
Dorman Products (DORM) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Dorman Products' Retained Earnings came in at $1.34 billion, up 13.8% from FY2024.
- Annual Retained Earnings has increased for 15 consecutive years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In prior years, Dorman Products' Retained Earnings was $1.18 billion in FY2024 (+10.4%), $1.07 billion in FY2023 (+11.8%), $956.87 million in FY2022 (+11.7%) and $856.41 million in FY2021 (+8.5%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased in each of the last 57 quarters, with growth averaging 12.6% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 7.3% (Q3 2021) and 20.5% (Q3 2025) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $1.34 billion (Q1 2026), $1.34 billion (Q4 2025) and $1.36 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 40.59 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | - |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 54.21 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 22.51 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 60.58 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 232.36 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | 9.18 Bn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | -28.20 Bn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | - |
| 10 | Dorman Products | 3.69 Bn | 3.41 Bn | 251.23 Mn | 1.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.38 Bn |
| Mar 28, 2026 | 1.34 Bn |
| Dec 31, 2025 | 1.34 Bn |
| Sep 27, 2025 | 1.36 Bn |
| Jun 28, 2025 | 1.28 Bn |
| Mar 29, 2025 | 1.23 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 28, 2024 | 1.13 Bn |
| Jun 29, 2024 | 1.10 Bn |
| Mar 30, 2024 | 1.08 Bn |
| Dec 31, 2023 | 1.07 Bn |
| Sep 30, 2023 | 1.03 Bn |
| Jul 1, 2023 | 993.92 Mn |
| Apr 1, 2023 | 961.60 Mn |
| Dec 31, 2022 | 956.87 Mn |
| Sep 24, 2022 | 939.21 Mn |
| Jun 25, 2022 | 910.19 Mn |
| Mar 26, 2022 | 879.92 Mn |
| Dec 25, 2021 | 856.41 Mn |
| Sep 25, 2021 | 830.88 Mn |
API Access
Dorman Products Retained Earnings 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=retained-earnings&ticker=DORM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();