Standard Motor Products (SMP) Change in Accrued Expenses (2009 - 2026)
Standard Motor Products (SMP) reported Change in Accrued Expenses of $26.29 million for Q3 2026, down 13.4% from $30.35 million a year earlier and down 57.0% from the prior quarter.
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Analysis
Standard Motor Products (SMP) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Standard Motor Products' Change in Accrued Expenses came in at $36.59 million, up 46.9% year-over-year; for FY2025, it came in at -$6.11 million.
- By year, Change in Accrued Expenses came in at $24.17 million in FY2024, -$4.28 million in FY2023, -$29.09 million in FY2022 and $13.43 million in FY2021 (-67.0%).
- Five-year quarterly Change in Accrued Expenses spans a low of -$52.32 million in Q4 2025 and a high of $61.09 million in Q2 2026.
- Year over year, Change in Accrued Expenses gained in two of the last four quarters, with growth averaging 69.1%.
- The high point for year-over-year Change in Accrued Expenses in five years was Q2 2026 (growth of 220.7%); the low point was Q3 2022 (a decline of 65.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $61.09 million (Q2 2026), $1.52 million (Q1 2026) and -$52.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 3.99 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | - |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | - |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 3.34 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | - |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 260.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | - |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | - |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | - |
| 10 | Standard Motor Products | 996.89 Mn | 696.88 Mn | 165.59 Mn | 26.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.29 Mn |
| Jun 30, 2026 | 61.09 Mn |
| Mar 31, 2026 | 1.52 Mn |
| Dec 31, 2025 | -52.32 Mn |
| Sep 30, 2025 | 30.35 Mn |
| Jun 30, 2025 | 19.05 Mn |
| Mar 31, 2025 | -3.19 Mn |
| Dec 31, 2024 | -21.30 Mn |
| Sep 30, 2024 | 15.50 Mn |
| Jun 30, 2024 | 25.98 Mn |
| Mar 31, 2024 | 3.99 Mn |
| Dec 31, 2023 | -16.63 Mn |
| Sep 30, 2023 | 9.57 Mn |
| Jun 30, 2023 | 13.43 Mn |
| Mar 31, 2023 | -10.66 Mn |
| Dec 31, 2022 | -32.90 Mn |
| Sep 30, 2022 | 8.83 Mn |
| Jun 30, 2022 | 16.21 Mn |
| Mar 31, 2022 | -21.23 Mn |
| Dec 31, 2021 | -5.48 Mn |
API Access
Standard Motor Products Change in Accrued Expenses 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=change-in-accured-expenses&ticker=SMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();