Dorman Products (DORM) Non Operating Interest Expenses (2010 - 2026)
Dorman Products (DORM) reported Non Operating Interest Expenses of $6.31 million for Q2 2026, down 12.1% from $7.18 million a year earlier but up 8.7% from the prior quarter.
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Analysis
Dorman Products (DORM) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Dorman Products' Non Operating Interest Expenses came in at $26.15 million, down 21.8% year-over-year; for FY2025, it came in at $28.58 million, down 28.1% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 116.6% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $39.73 million in FY2024 (-17.3%), $48.06 million in FY2023 (+208.4%), $15.58 million in FY2022 (+620.7%) and $2.16 million in FY2021 (+260.9%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $733,000 in Q3 2021 and a high of $12.57 million in Q2 2023.
- Year over year, Non Operating Interest Expenses has now declined in each of the last ten quarters, with an average decline of 23.0% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2022 (growth of 917.4%); the low point was Q1 2025 (a decline of 30.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.81 million (Q1 2026), $6.83 million (Q4 2025) and $7.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 81.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | - |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -122.57 Mn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 151.00 Mn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 357.00 Mn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 68.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 234.80 Mn |
| 10 | Dorman Products | 3.64 Bn | 3.36 Bn | 251.23 Mn | 6.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 6.31 Mn |
| Mar 28, 2026 | 5.81 Mn |
| Dec 31, 2025 | 6.83 Mn |
| Sep 27, 2025 | 7.21 Mn |
| Jun 28, 2025 | 7.18 Mn |
| Mar 29, 2025 | 7.36 Mn |
| Dec 31, 2024 | 9.16 Mn |
| Sep 28, 2024 | 9.76 Mn |
| Jun 29, 2024 | 10.20 Mn |
| Mar 30, 2024 | 10.61 Mn |
| Dec 31, 2023 | 11.33 Mn |
| Sep 30, 2023 | 12.22 Mn |
| Jul 1, 2023 | 12.57 Mn |
| Apr 1, 2023 | 11.95 Mn |
| Dec 31, 2022 | 10.44 Mn |
| Sep 24, 2022 | 2.34 Mn |
| Jun 25, 2022 | 1.57 Mn |
| Mar 26, 2022 | 1.23 Mn |
| Dec 25, 2021 | 1.24 Mn |
| Sep 25, 2021 | 733,000.00 |
API Access
Dorman Products Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=DORM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=DORM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();