Standard Motor Products (SMP) EBITDA (2011 - 2026)
Standard Motor Products (SMP) reported EBITDA of $62.44 million for Q2 2026, up 16.2% from $53.76 million a year earlier and up 37.5% from the prior quarter.
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Analysis
Standard Motor Products (SMP) EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Standard Motor Products' EBITDA came in at $199.72 million, up 36.5% year-over-year; for FY2025, it was $180.36 million, up 61.0% from FY2024.
- EBITDA has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, EBITDA came in at $112.04 million in FY2024 (-7.9%), $121.7 million in FY2023 (-8.1%), $132.43 million in FY2022 (-15.2%) and $156.24 million in FY2021 (+15.5%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q1 2011.
- Year over year, EBITDA has now increased in each of the last six quarters, with growth averaging 41.8% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2025 (growth of 148.6%); the low point was Q4 2022 (a decline of 26.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $45.41 million (Q1 2026), $33.03 million (Q4 2025) and $58.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 10.70 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 2.76 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 2.50 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | -599.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Standard Motor Products | 829.50 Mn | 844.10 Mn | 164.62 Mn | 62.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.44 Mn |
| Mar 31, 2026 | 45.41 Mn |
| Dec 31, 2025 | 33.03 Mn |
| Sep 30, 2025 | 58.84 Mn |
| Jun 30, 2025 | 53.76 Mn |
| Mar 31, 2025 | 34.73 Mn |
| Dec 31, 2024 | 13.29 Mn |
| Sep 30, 2024 | 44.53 Mn |
| Jun 30, 2024 | 32.30 Mn |
| Mar 31, 2024 | 21.92 Mn |
| Dec 31, 2023 | 17.51 Mn |
| Sep 30, 2023 | 42.14 Mn |
| Jun 30, 2023 | 34.23 Mn |
| Mar 31, 2023 | 27.83 Mn |
| Dec 31, 2022 | 23.12 Mn |
| Sep 30, 2022 | 40.62 Mn |
| Jun 30, 2022 | 34.83 Mn |
| Mar 31, 2022 | 33.87 Mn |
| Dec 31, 2021 | 31.30 Mn |
| Sep 30, 2021 | 45.60 Mn |
API Access
Standard Motor Products EBITDA 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=ebitda&ticker=SMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();