Standard Motor Products (SMP) EBIT (2009 - 2026)
Standard Motor Products (SMP) recorded EBIT of $50.15 million in Q3 2026, up 5.3% from $47.64 million a year earlier but down 1.4% from the prior quarter.
Standard Motor Products (SMP) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Standard Motor Products' EBIT came in at $156.66 million as of Sep 30, 2026, up 31.9% year-over-year; for FY2025, it was $136.51 million, up 69.3% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $80.62 million in FY2024 (-13.0%), $92.68 million in FY2023 (-11.0%), $104.14 million in FY2022 (-19.3%) and $129 million in FY2021 (+18.5%).
- Quarterly EBIT has ranged from $3.88 million in Q4 2024 to $50.84 million in Q2 2026 over the past five years.
- On a year-over-year basis, EBIT has increased for seven consecutive quarters, with growth averaging 78.2% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 456.0% in Q4 2025, against a decline of 61.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $50.84 million (Q2 2026), $34.09 million (Q1 2026) and $21.57 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 718.00 Mn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 647.93 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 3.60 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 1.45 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 7.08 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -881.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 1.36 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | -339.10 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | -380.79 Mn |
| 10 | Standard Motor Products | 996.89 Mn | 696.88 Mn | 165.59 Mn | 50.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.15 Mn |
| Jun 30, 2026 | 50.84 Mn |
| Mar 31, 2026 | 34.09 Mn |
| Dec 31, 2025 | 21.57 Mn |
| Sep 30, 2025 | 47.64 Mn |
| Jun 30, 2025 | 42.84 Mn |
| Mar 31, 2025 | 24.46 Mn |
| Dec 31, 2024 | 3.88 Mn |
| Sep 30, 2024 | 37.14 Mn |
| Jun 30, 2024 | 24.99 Mn |
| Mar 31, 2024 | 14.62 Mn |
| Dec 31, 2023 | 9.95 Mn |
| Sep 30, 2023 | 34.81 Mn |
| Jun 30, 2023 | 27.18 Mn |
| Mar 31, 2023 | 20.75 Mn |
| Dec 31, 2022 | 15.71 Mn |
| Sep 30, 2022 | 33.62 Mn |
| Jun 30, 2022 | 27.89 Mn |
| Mar 31, 2022 | 26.92 Mn |
| Dec 31, 2021 | 24.21 Mn |
Standard Motor Products EBIT 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=ebit&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();