Dauch (DCH) Operating Expenses (2010 - 2026)
Dauch (DCH) posted Operating Expenses of $216.7 million for Q2 2026, up 84.7% from $117.3 million a year earlier but down 8.3% from the prior quarter.
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Analysis
Dauch (DCH) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Dauch was $727.4 million, up 72.4% year-over-year; for FY2025, it was $502.4 million, up 24.0% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, Dauch's Operating Expenses was $405.1 million in FY2024 (+3.3%), $392.1 million in FY2023 (+4.5%), $375.3 million in FY2022 (-4.6%) and $393.6 million in FY2021 (+3.3%).
- Quarterly Operating Expenses has run from a low of $85.3 million in Q3 2023 to a high of $236.2 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 38.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2026, with growth of 113.6%; the weakest was Q4 2021, with a decline of 23.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $236.2 million (Q1 2026), $154.3 million (Q4 2025) and $120.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Dauch | 1.22 Bn | -2.09 Bn | 338.20 Mn | 216.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 216.70 Mn |
| Mar 31, 2026 | 236.20 Mn |
| Dec 31, 2025 | 154.30 Mn |
| Sep 30, 2025 | 120.20 Mn |
| Jun 30, 2025 | 117.30 Mn |
| Mar 31, 2025 | 110.60 Mn |
| Dec 31, 2024 | 97.30 Mn |
| Sep 30, 2024 | 96.80 Mn |
| Jun 30, 2024 | 110.20 Mn |
| Mar 31, 2024 | 100.80 Mn |
| Dec 31, 2023 | 104.70 Mn |
| Sep 30, 2023 | 85.30 Mn |
| Jun 30, 2023 | 99.00 Mn |
| Mar 31, 2023 | 103.10 Mn |
| Dec 31, 2022 | 92.30 Mn |
| Sep 30, 2022 | 93.60 Mn |
| Jun 30, 2022 | 94.40 Mn |
| Mar 31, 2022 | 95.00 Mn |
| Dec 31, 2021 | 86.10 Mn |
| Sep 30, 2021 | 97.90 Mn |
API Access
Dauch Operating 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=operating-expenses&ticker=DCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DCH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();