Dorman Products (DORM) Tax Provisions (2010 - 2026)
Dorman Products' Tax Provisions came in at $27.71 million for Q2 2026, up 52.8% from $18.13 million a year earlier and up 118.7% from the prior quarter.
Dorman Products (DORM) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Dorman Products reported Tax Provisions of $76.93 million, up 2.6% year-over-year; for FY2025, it came in at $71.25 million, up 7.6% from FY2024.
- Tax Provisions has increased in each of the last three years, with a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $66.25 million in FY2024 (+68.8%), $39.24 million in FY2023 (+13.3%), $34.65 million in FY2022 (-9.4%) and $38.23 million in FY2021 (+32.5%).
- The Q2 2026 figure represents the highest quarterly Tax Provisions in data going back to Q2 2010.
- Year-over-year, Tax Provisions increased in six of the last eight quarters, with growth averaging 23.3%.
- The fastest year-over-year change in Tax Provisions over five years came in Q4 2023 (growth of 215.2%), and the weakest in Q1 2023 (a decline of 91.9%).
- Business Quant data shows DORM's Tax Provisions at $12.67 million (Q1 2026), $13.04 million (Q4 2025) and $23.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 201.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 2.59 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 160.68 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -823.19 Mn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 214.00 Mn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | -711.00 Mn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | -1.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 120.00 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 240.61 Mn |
| 10 | Dorman Products | 3.64 Bn | 3.36 Bn | 251.23 Mn | 27.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 27.71 Mn |
| Mar 28, 2026 | 12.67 Mn |
| Dec 31, 2025 | 13.04 Mn |
| Sep 27, 2025 | 23.51 Mn |
| Jun 28, 2025 | 18.13 Mn |
| Mar 29, 2025 | 16.57 Mn |
| Dec 31, 2024 | 24.44 Mn |
| Sep 28, 2024 | 15.87 Mn |
| Jun 29, 2024 | 14.98 Mn |
| Mar 30, 2024 | 10.97 Mn |
| Dec 31, 2023 | 16.07 Mn |
| Sep 30, 2023 | 12.08 Mn |
| Jul 1, 2023 | 10.26 Mn |
| Apr 1, 2023 | 835,000.00 |
| Dec 31, 2022 | 5.10 Mn |
| Sep 24, 2022 | 9.09 Mn |
| Jun 25, 2022 | 10.11 Mn |
| Mar 26, 2022 | 10.36 Mn |
| Dec 25, 2021 | 9.82 Mn |
| Sep 25, 2021 | 10.45 Mn |
Dorman Products Tax Provisions 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=tax-provisions&ticker=DORM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();