Standard Motor Products (SMP) EPS (Diluted) (2010 - 2026)
Standard Motor Products (SMP) posted EPS (Diluted) of $1.33 for Q2 2026, up 18.0% from $1.13 a year earlier and up 76.1% from the prior quarter.
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Analysis
Standard Motor Products (SMP) EPS (Diluted) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Standard Motor Products was $2.23, up 27.0% year-over-year; for FY2025, it came in at $1.84, up 48.7% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In prior years, Standard Motor Products' EPS (Diluted) was $1.24 in FY2024 (-19.7%), $1.54 in FY2023 (-38.4%), $2.50 in FY2022 (-37.8%) and $4.02 in FY2021 (+59.8%).
- The Q2 2026 figure stands as the highest quarterly EPS (Diluted) in data going back to Q2 2010.
- On a year-over-year basis, EPS (Diluted) increased in four of the last five quarters, with growth averaging 19.7%.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q4 2021, with growth of 105.7%; the weakest was Q3 2022, with a decline of 62.0%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $0.75 (Q1 2026), $0.35 (Q4 2025) and -$0.19 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 0.31 |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | 0.75 |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 3.01 |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | - |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 1.41 |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | -0.33 |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | -0.63 |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | 1.70 |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | 0.11 |
| 10 | Standard Motor Products | 833.52 Mn | 848.12 Mn | 164.62 Mn | 1.33 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 |
| Mar 31, 2026 | 0.75 |
| Dec 31, 2025 | 0.35 |
| Sep 30, 2025 | -0.19 |
| Jun 30, 2025 | 1.13 |
| Mar 31, 2025 | 0.56 |
| Dec 31, 2024 | -0.10 |
| Sep 30, 2024 | 0.17 |
| Jun 30, 2024 | 0.77 |
| Mar 31, 2024 | 0.39 |
| Dec 31, 2023 | 0.29 |
| Sep 30, 2023 | 0.30 |
| Jun 30, 2023 | 0.41 |
| Mar 31, 2023 | 0.54 |
| Dec 31, 2022 | 0.36 |
| Sep 30, 2022 | 0.40 |
| Jun 30, 2022 | 0.86 |
| Mar 31, 2022 | 0.87 |
| Dec 31, 2021 | 0.83 |
| Sep 30, 2021 | 1.07 |
API Access
Standard Motor Products EPS (Diluted) 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=eps-diluted&ticker=SMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();