Dauch (DCH) EBITDA (2010 - 2026)
Dauch (DCH) recorded EBITDA of $315.1 million in Q2 2026, up 87.0% from $168.5 million a year earlier and up 112.8% from the prior quarter.
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Analysis
Dauch (DCH) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Dauch's EBITDA came in at $711.6 million as of Jun 30, 2026, up 12.3% year-over-year; for FY2025, it came in at $571.8 million, down 19.6% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 35.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $711.1 million in FY2024 (+12.2%), $633.8 million in FY2023 (-13.9%), $736 million in FY2022 (-6.2%) and $784.9 million in FY2021 (+523.4%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2018.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with growth averaging 1.7%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 87.0% in Q2 2026, against a decline of 44.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $148.1 million (Q1 2026), $83.7 million (Q4 2025) and $164.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 10.70 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 2.76 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 2.50 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | -599.00 Mn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Dauch | 1.22 Bn | -2.09 Bn | 338.20 Mn | 315.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 315.10 Mn |
| Mar 31, 2026 | 148.10 Mn |
| Dec 31, 2025 | 83.70 Mn |
| Sep 30, 2025 | 164.70 Mn |
| Jun 30, 2025 | 168.50 Mn |
| Mar 31, 2025 | 154.90 Mn |
| Dec 31, 2024 | 151.60 Mn |
| Sep 30, 2024 | 158.60 Mn |
| Jun 30, 2024 | 206.10 Mn |
| Mar 31, 2024 | 194.80 Mn |
| Dec 31, 2023 | 150.20 Mn |
| Sep 30, 2023 | 144.30 Mn |
| Jun 30, 2023 | 178.30 Mn |
| Mar 31, 2023 | 161.00 Mn |
| Dec 31, 2022 | 178.60 Mn |
| Sep 30, 2022 | 187.10 Mn |
| Jun 30, 2022 | 179.60 Mn |
| Mar 31, 2022 | 190.70 Mn |
| Dec 31, 2021 | 155.50 Mn |
| Sep 30, 2021 | 181.90 Mn |
API Access
Dauch EBITDA 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=ebitda&ticker=DCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();