Standard Motor Products (SMP) Return on Sales [ROS] (2009 - 2026)
Standard Motor Products (SMP) recorded Return on Sales [ROS] of 9.88% in Q3 2026, up 0.33 percentage points from 9.55% a year earlier but down 0.26 percentage points from the prior quarter.
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Analysis
Standard Motor Products (SMP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Standard Motor Products' Return on Sales [ROS] came in at 8.49% as of Sep 30, 2026, up 1.70 percentage points year-over-year; for FY2025, it came in at 7.62%, up 2.11 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -2.03 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 5.51% in FY2024 (-1.32 pp), 6.82% in FY2023 (-0.77 pp), 7.59% in FY2022 (-2.34 pp) and 9.93% in FY2021 (+0.28 pp).
- Quarterly Return on Sales [ROS] has ranged from 1.13% in Q4 2024 to 10.14% in Q2 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for seven consecutive quarters, with an average year-over-year change of +1.20 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 4.47 percentage points in Q4 2025, against a drop of 3.03 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.14% (Q2 2026), 7.56% (Q1 2026) and 5.60% (Q4 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 | Standard Motor Products | 996.89 Mn | 696.88 Mn | 165.59 Mn | 9.88% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.88% |
| Jun 30, 2026 | 10.14% |
| Mar 31, 2026 | 7.56% |
| Dec 31, 2025 | 5.60% |
| Sep 30, 2025 | 9.55% |
| Jun 30, 2025 | 8.67% |
| Mar 31, 2025 | 5.92% |
| Dec 31, 2024 | 1.13% |
| Sep 30, 2024 | 9.30% |
| Jun 30, 2024 | 6.41% |
| Mar 31, 2024 | 4.41% |
| Dec 31, 2023 | 3.42% |
| Sep 30, 2023 | 9.01% |
| Jun 30, 2023 | 7.70% |
| Mar 31, 2023 | 6.32% |
| Dec 31, 2022 | 5.10% |
| Sep 30, 2022 | 8.81% |
| Jun 30, 2022 | 7.76% |
| Mar 31, 2022 | 8.34% |
| Dec 31, 2021 | 7.81% |
API Access
Standard Motor Products 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=SMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SMP", "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=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();