Dorman Products (DORM) Selling, General & Administrative (2010 - 2026)
Dorman Products (DORM) reported Selling, General & Administrative of $135.01 million for Q2 2026, down 1.5% from $137.03 million a year earlier but up 2.8% from the prior quarter.
Dorman Products (DORM) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Dorman Products' Selling, General & Administrative came in at $543.2 million, up 3.6% year-over-year; for FY2025, it was $541.48 million, up 5.5% from FY2024.
- Selling, General & Administrative has increased for 16 consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $513.45 million in FY2024 (+9.1%), $470.66 million in FY2023 (+19.6%), $393.4 million in FY2022 (+35.0%) and $291.37 million in FY2021 (+16.7%).
- Five-year quarterly Selling, General & Administrative spans a low of $72.66 million in Q3 2021 and a high of $141.14 million in Q4 2025.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 5.4%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2023 (growth of 46.0%); the low point was Q4 2023 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $131.37 million (Q1 2026), $141.14 million (Q4 2025) and $135.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.98 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 8.63 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 218.61 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | -3.60 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 2.20 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 2.68 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 549.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 585.00 Mn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Dorman Products | 3.65 Bn | 3.37 Bn | 251.23 Mn | 135.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 135.01 Mn |
| Mar 28, 2026 | 131.37 Mn |
| Dec 31, 2025 | 141.14 Mn |
| Sep 27, 2025 | 135.68 Mn |
| Jun 28, 2025 | 137.03 Mn |
| Mar 29, 2025 | 127.63 Mn |
| Dec 31, 2024 | 134.96 Mn |
| Sep 28, 2024 | 124.53 Mn |
| Jun 29, 2024 | 126.95 Mn |
| Mar 30, 2024 | 127.01 Mn |
| Dec 31, 2023 | 116.98 Mn |
| Sep 30, 2023 | 119.01 Mn |
| Jul 1, 2023 | 108.31 Mn |
| Apr 1, 2023 | 126.36 Mn |
| Dec 31, 2022 | 125.00 Mn |
| Sep 24, 2022 | 89.81 Mn |
| Jun 25, 2022 | 92.06 Mn |
| Mar 26, 2022 | 86.53 Mn |
| Dec 25, 2021 | 86.32 Mn |
| Sep 25, 2021 | 72.66 Mn |
Dorman Products Selling, General & Administrative 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=selling-general-and-administrative&ticker=DORM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();