Standard Motor Products (SMP) Income After Tax (2009 - 2026)
Standard Motor Products (SMP) reported Income After Tax of $32.84 million for Q3 2026, up 9.5% from $30 million a year earlier and up 2.5% from the prior quarter.
Standard Motor Products (SMP) Income After Tax (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Standard Motor Products' Income After Tax came in at $92.78 million, up 32.8% year-over-year; for FY2025, it was $79.91 million, up 46.3% from FY2024.
- Income After Tax has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- By year, Income After Tax came in at $54.6 million in FY2024 (-13.8%), $63.35 million in FY2023 (-13.4%), $73.13 million in FY2022 (-26.4%) and $99.42 million in FY2021 (+23.6%).
- The Q3 2026 figure ranks as the highest quarterly Income After Tax since Q3 2020.
- Year over year, Income After Tax has now increased in each of the last three quarters, with growth averaging 26.4% over the last six quarters.
- The high point for year-over-year Income After Tax in five years was Q2 2025 (growth of 45.1%); the low point was Q4 2022 (a decline of 57.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $32.04 million (Q2 2026), $18.47 million (Q1 2026) and $9.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 804.00 Mn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 495.22 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 3.38 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 2.05 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 4.73 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -907.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 400.00 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | -323.13 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | -498.13 Mn |
| 10 | Standard Motor Products | 996.89 Mn | 696.88 Mn | 165.59 Mn | 32.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.84 Mn |
| Jun 30, 2026 | 32.04 Mn |
| Mar 31, 2026 | 18.47 Mn |
| Dec 31, 2025 | 9.43 Mn |
| Sep 30, 2025 | 30.00 Mn |
| Jun 30, 2025 | 26.60 Mn |
| Mar 31, 2025 | 13.88 Mn |
| Dec 31, 2024 | -605,000.00 |
| Sep 30, 2024 | 26.86 Mn |
| Jun 30, 2024 | 18.32 Mn |
| Mar 31, 2024 | 10.03 Mn |
| Dec 31, 2023 | 7.28 Mn |
| Sep 30, 2023 | 24.92 Mn |
| Jun 30, 2023 | 18.41 Mn |
| Mar 31, 2023 | 12.74 Mn |
| Dec 31, 2022 | 8.50 Mn |
| Sep 30, 2022 | 23.19 Mn |
| Jun 30, 2022 | 20.88 Mn |
| Mar 31, 2022 | 20.55 Mn |
| Dec 31, 2021 | 20.06 Mn |
Standard Motor Products Income After Tax 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=profit-after-tax&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();