Standard Motor Products (SMP) Total Liabilities (2010 - 2026)
Standard Motor Products' Total Liabilities was $1.33 billion in Q2 2026, up 1.9% from $1.3 billion a year earlier but down 0.9% from the prior quarter.
Standard Motor Products (SMP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Standard Motor Products came in at $1.3 billion, up 9.5% from FY2024.
- Total Liabilities has now increased for ten consecutive years, with a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.18 billion in FY2024 (+84.4%), $642.17 million in FY2023 (+1.3%), $633.89 million in FY2022 (+8.3%) and $585.33 million in FY2021 (+44.1%).
- Quarterly Total Liabilities has moved between $585.33 million (Q4 2021) and $1.34 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 45.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2025 (growth of 91.6%); the worst was Q3 2023 (a decline of 7.6%).
- Per Business Quant data, SMP's Total Liabilities in the three quarters before Q2 2026 was $1.34 billion (Q1 2026), $1.3 billion (Q4 2025) and $1.34 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 404.08 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 7.62 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 136.83 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 219.10 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 249.78 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 10.01 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 176.31 Bn |
| 10 | Standard Motor Products | 829.50 Mn | 844.10 Mn | 164.62 Mn | 1.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Bn |
| Mar 31, 2026 | 1.34 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 1.34 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.27 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 697.10 Mn |
| Jun 30, 2024 | 720.01 Mn |
| Mar 31, 2024 | 696.44 Mn |
| Dec 31, 2023 | 642.17 Mn |
| Sep 30, 2023 | 654.46 Mn |
| Jun 30, 2023 | 661.73 Mn |
| Mar 31, 2023 | 687.35 Mn |
| Dec 31, 2022 | 633.89 Mn |
| Sep 30, 2022 | 708.34 Mn |
| Jun 30, 2022 | 713.90 Mn |
| Mar 31, 2022 | 687.50 Mn |
| Dec 31, 2021 | 585.33 Mn |
| Sep 30, 2021 | 597.18 Mn |
Standard Motor Products Total Liabilities 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=total-liabilities&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();