Standard Motor Products (SMP) Total Current Liabilities (2010 - 2026)
Standard Motor Products' Total Current Liabilities came in at $570.16 million for Q2 2026, up 15.8% from $492.42 million a year earlier and up 13.8% from the prior quarter.
Standard Motor Products (SMP) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Standard Motor Products' Total Current Liabilities was $493.31 million, up 13.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $436.47 million in FY2024 (+43.5%), $304.26 million in FY2023 (-5.8%), $323.13 million in FY2022 (-32.2%) and $476.37 million in FY2021 (+57.4%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q1 2022.
- Year-over-year, Total Current Liabilities has increased for seven consecutive quarters, with growth averaging 29.1% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2022 (growth of 84.5%), and the weakest in Q1 2023 (a decline of 44.4%).
- Business Quant data shows SMP's Total Current Liabilities at $501.07 million (Q1 2026), $493.31 million (Q4 2025) and $554.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 35.43 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 208.54 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 64.48 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 96.83 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 107.93 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 3.62 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 101.34 Bn |
| 10 | Standard Motor Products | 829.50 Mn | 844.10 Mn | 164.62 Mn | 570.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 570.16 Mn |
| Mar 31, 2026 | 501.07 Mn |
| Dec 31, 2025 | 493.31 Mn |
| Sep 30, 2025 | 554.11 Mn |
| Jun 30, 2025 | 492.42 Mn |
| Mar 31, 2025 | 437.38 Mn |
| Dec 31, 2024 | 436.47 Mn |
| Sep 30, 2024 | 352.52 Mn |
| Jun 30, 2024 | 332.17 Mn |
| Mar 31, 2024 | 299.21 Mn |
| Dec 31, 2023 | 304.26 Mn |
| Sep 30, 2023 | 373.34 Mn |
| Jun 30, 2023 | 348.49 Mn |
| Mar 31, 2023 | 321.42 Mn |
| Dec 31, 2022 | 323.13 Mn |
| Sep 30, 2022 | 373.86 Mn |
| Jun 30, 2022 | 410.22 Mn |
| Mar 31, 2022 | 578.13 Mn |
| Dec 31, 2021 | 476.37 Mn |
| Sep 30, 2021 | 478.37 Mn |
Standard Motor Products Total Current 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-current-liabilities&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();