Ferrari (RACE) Return on Sales [ROS] (2014 - 2026)
Ferrari (RACE) posted Return on Sales [ROS] of 29.70% for Q3 2026, up 1.27 percentage points from 28.44% a year earlier but down 1.52 percentage points from the prior quarter.
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Analysis
Ferrari (RACE) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Ferrari was 34.63%, up 1.05 percentage points year-over-year; for FY2025, it was 29.52%, up 1.25 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +8.83 percentage points (FY2020 to FY2025).
- In prior years, Ferrari's Return on Sales [ROS] was 28.27% in FY2024 (+1.18 pp), 27.09% in FY2023 (+3.00 pp), 24.09% in FY2022 (-1.09 pp) and 25.18% in FY2021 (+4.48 pp).
- Quarterly Return on Sales [ROS] has run from a low of 23.90% in Q3 2022 to a high of 39.07% in Q1 2026 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last 16 quarters, with an average year-over-year change of +0.73 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2024, with a gain of 11.23 percentage points; the weakest was Q3 2022, with a drop of 1.77 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 31.22% (Q2 2026), 39.07% (Q1 2026) and 38.85% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 2.56% |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 7.19% |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 29.70% |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 2.94% |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 8.39% |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -40.88% |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 13.52% |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -0.88% |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn | -8.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.70% |
| Jun 30, 2026 | 31.22% |
| Mar 31, 2026 | 39.07% |
| Dec 31, 2025 | 38.85% |
| Sep 30, 2025 | 28.44% |
| Jun 30, 2025 | 30.90% |
| Mar 31, 2025 | 38.69% |
| Dec 31, 2024 | 37.04% |
| Sep 30, 2024 | 28.38% |
| Jun 30, 2024 | 29.85% |
| Mar 31, 2024 | 38.17% |
| Dec 31, 2023 | 36.64% |
| Sep 30, 2023 | 27.40% |
| Jun 30, 2023 | 29.65% |
| Mar 31, 2023 | 26.94% |
| Dec 31, 2022 | 34.28% |
| Sep 30, 2022 | 23.90% |
| Jun 30, 2022 | 24.98% |
| Mar 31, 2022 | 25.91% |
| Dec 31, 2021 | 33.96% |
API Access
Ferrari 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=RACE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RACE", "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=RACE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();