Standard Motor Products (SMP) Cash & Equivalents (2009 - 2026)
Standard Motor Products (SMP) posted Cash & Equivalents of $87.2 million for Q3 2025, up 231.0% from $26.35 million a year earlier and up 48.3% from the prior quarter.
Standard Motor Products (SMP) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2024, Standard Motor Products' Cash & Equivalents came in at $44.43 million, up 36.6% from FY2023.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 33.8% (FY2019 to FY2024).
- In prior years, Standard Motor Products' Cash & Equivalents was $32.53 million in FY2023 (+53.8%), $21.15 million in FY2022 (-2.8%), $21.76 million in FY2021 (+11.6%) and $19.49 million in FY2020 (+87.9%).
- The Q3 2025 figure stands as the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 68.7% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 231.0%; the weakest was Q2 2022, with a decline of 48.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $58.79 million (Q2 2025), $50.28 million (Q1 2025) and $44.43 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 17.85 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 1.96 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 23.20 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 22.28 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 60.26 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 3.51 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 1.38 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 5.91 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 32.94 Bn |
| 10 | Standard Motor Products | 996.89 Mn | 696.88 Mn | 165.59 Mn | 105.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 105.04 Mn |
| Jun 30, 2026 | 78.63 Mn |
| Mar 31, 2026 | 59.21 Mn |
| Dec 31, 2025 | 72.03 Mn |
| Sep 30, 2025 | 87.20 Mn |
| Jun 30, 2025 | 58.79 Mn |
| Mar 31, 2025 | 50.28 Mn |
| Dec 31, 2024 | 44.43 Mn |
| Sep 30, 2024 | 26.35 Mn |
| Jun 30, 2024 | 26.16 Mn |
| Mar 31, 2024 | 27.11 Mn |
| Dec 31, 2023 | 32.53 Mn |
| Sep 30, 2023 | 28.49 Mn |
| Jun 30, 2023 | 23.02 Mn |
| Mar 31, 2023 | 24.20 Mn |
| Dec 31, 2022 | 21.15 Mn |
| Sep 30, 2022 | 17.53 Mn |
| Jun 30, 2022 | 14.19 Mn |
| Mar 31, 2022 | 20.00 Mn |
| Dec 31, 2021 | 21.76 Mn |
Standard Motor Products Cash & Equivalents 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=cash-and-equivalents&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();