Dauch (DCH) Return on Sales [ROS] (2009 - 2026)
Dauch (DCH) recorded Return on Sales [ROS] of 3.37% in Q2 2026, down 0.21 percentage points from 3.58% a year earlier but up 4.79 percentage points from the prior quarter.
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Analysis
Dauch (DCH) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Dauch's Return on Sales [ROS] came in at 0.98% as of Jun 30, 2026, down 2.03 percentage points year-over-year; for FY2025, it was 1.92%, down 2.02 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +10.33 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 3.94% in FY2024 (+1.53 pp), 2.41% in FY2023 (-1.79 pp), 4.20% in FY2022 (-0.46 pp) and 4.67% in FY2021 (+13.07 pp).
- Quarterly Return on Sales [ROS] has ranged from -2.44% in Q4 2025 to 5.30% in Q2 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -1.36 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2.38 percentage points in Q1 2024, against a drop of 6.93 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -1.42% (Q1 2026), -2.44% (Q4 2025) and 3.22% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 2.56% |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 29.70% |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 7.19% |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 4.93% |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 8.39% |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -40.88% |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 13.52% |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | -8.96% |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | -0.88% |
| 10 | Dauch | 1.06 Bn | -2.33 Bn | 282.20 Mn | 2.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.47% |
| Jun 30, 2026 | 3.37% |
| Mar 31, 2026 | -1.42% |
| Dec 31, 2025 | -2.44% |
| Sep 30, 2025 | 3.22% |
| Jun 30, 2025 | 3.58% |
| Mar 31, 2025 | 3.03% |
| Dec 31, 2024 | 2.62% |
| Sep 30, 2024 | 2.77% |
| Jun 30, 2024 | 5.30% |
| Mar 31, 2024 | 4.79% |
| Dec 31, 2023 | 1.97% |
| Sep 30, 2023 | 1.54% |
| Jun 30, 2023 | 3.68% |
| Mar 31, 2023 | 2.42% |
| Dec 31, 2022 | 3.85% |
| Sep 30, 2022 | 4.06% |
| Jun 30, 2022 | 4.01% |
| Mar 31, 2022 | 4.89% |
| Dec 31, 2021 | 2.62% |
API Access
Dauch Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();