Dauch (DCH) Return on Capital Employed [ROCE] (2011 - 2026)
Dauch's Return on Capital Employed [ROCE] came in at 0.95% for Q2 2026, down 3.46 percentage points from 4.41% a year earlier but up 0.37 percentage points from the prior quarter.
Dauch (DCH) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Dauch's Return on Capital Employed [ROCE] was 2.42%, down 3.56 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +9.90 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 5.99% in FY2024 (+2.50 pp), 3.48% in FY2023 (-2.12 pp), 5.60% in FY2022 (+0.52 pp) and 5.08% in FY2021 (+12.55 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is 0.58% (Q1 2026) to 6.56% (Q3 2021).
- Year-over-year, Return on Capital Employed [ROCE] has declined for five consecutive quarters, with an average year-over-year change of -1.12 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2021 (a gain of 24.87 percentage points), and the weakest in Q1 2026 (a drop of 4.71 percentage points).
- Business Quant data shows DCH's Return on Capital Employed [ROCE] at 0.58% (Q1 2026), 2.35% (Q4 2025) and 4.51% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 3.95% |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 2.97% |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 2.00% |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 0.98% |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | -3.99% |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | -31.93% |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | -0.99% |
| 10 | Dauch | 1.24 Bn | -2.07 Bn | 338.20 Mn | 0.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.95% |
| Mar 31, 2026 | 0.58% |
| Dec 31, 2025 | 2.35% |
| Sep 30, 2025 | 4.51% |
| Jun 30, 2025 | 4.41% |
| Mar 31, 2025 | 5.29% |
| Dec 31, 2024 | 6.01% |
| Sep 30, 2024 | 5.79% |
| Jun 30, 2024 | 5.27% |
| Mar 31, 2024 | 4.54% |
| Dec 31, 2023 | 3.48% |
| Sep 30, 2023 | 4.04% |
| Jun 30, 2023 | 4.94% |
| Mar 31, 2023 | 4.92% |
| Dec 31, 2022 | 5.57% |
| Sep 30, 2022 | 4.94% |
| Jun 30, 2022 | 4.56% |
| Mar 31, 2022 | 4.76% |
| Dec 31, 2021 | 5.23% |
| Sep 30, 2021 | 6.56% |
Dauch Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=DCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();