Standard Motor Products (SMP) Cost of Revenue (2009 - 2026)
Standard Motor Products (SMP) posted Cost of Revenue of $342.21 million for Q3 2026, up 1.5% from $337.04 million a year earlier and up 1.6% from the prior quarter.
Standard Motor Products (SMP) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Standard Motor Products was $1.25 billion, up 3.6% year-over-year; for FY2025, it was $1.23 billion, up 18.4% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In prior years, Standard Motor Products' Cost of Revenue was $1.04 billion in FY2024 (+7.3%), $969.45 million in FY2023 (-2.0%), $989.28 million in FY2022 (+7.3%) and $921.89 million in FY2021 (+16.4%).
- The Q3 2026 figure stands as the highest quarterly Cost of Revenue since Q2 2025.
- On a year-over-year basis, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 12.0%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2025, with growth of 23.2%; the weakest was Q4 2023, with a decline of 4.3%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $336.98 million (Q2 2026), $311.99 million (Q1 2026) and $263.09 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 22.55 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 1.04 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 40.74 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 42.15 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 64.56 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 1.98 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 8.43 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 3.36 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 39.33 Bn |
| 10 | Standard Motor Products | 996.89 Mn | 696.88 Mn | 165.59 Mn | 342.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 342.21 Mn |
| Jun 30, 2026 | 336.98 Mn |
| Mar 31, 2026 | 311.99 Mn |
| Dec 31, 2025 | 263.09 Mn |
| Sep 30, 2025 | 337.04 Mn |
| Jun 30, 2025 | 342.96 Mn |
| Mar 31, 2025 | 288.66 Mn |
| Dec 31, 2024 | 242.37 Mn |
| Sep 30, 2024 | 277.90 Mn |
| Jun 30, 2024 | 278.38 Mn |
| Mar 31, 2024 | 241.88 Mn |
| Dec 31, 2023 | 209.23 Mn |
| Sep 30, 2023 | 271.65 Mn |
| Jun 30, 2023 | 251.81 Mn |
| Mar 31, 2023 | 236.76 Mn |
| Dec 31, 2022 | 218.64 Mn |
| Sep 30, 2022 | 274.59 Mn |
| Jun 30, 2022 | 263.06 Mn |
| Mar 31, 2022 | 232.99 Mn |
| Dec 31, 2021 | 221.21 Mn |
Standard Motor Products Cost of Revenue 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=cost-of-revenue&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();