Standard Motor Products (SMP) Total Non-Current Liabilities (2010 - 2026)
Standard Motor Products' Total Non-Current Liabilities came in at $1.22 billion for Q2 2026, down 0.4% from $1.23 billion a year earlier and down 0.6% from the prior quarter.
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Analysis
Standard Motor Products (SMP) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Standard Motor Products' Total Non-Current Liabilities was $1.18 billion, up 7.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.1 billion in FY2024 (+92.8%), $570.16 million in FY2023 (-0.1%), $570.59 million in FY2022 (+7.1%) and $532.64 million in FY2021 (+51.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $532.64 million (Q4 2021) to $1.23 billion (Q1 2026).
- Year-over-year, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 48.4%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2025 (growth of 100.9%), and the weakest in Q3 2023 (a decline of 9.9%).
- Business Quant data shows SMP's Total Non-Current Liabilities at $1.23 billion (Q1 2026), $1.18 billion (Q4 2025) and $1.22 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 5.63 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 5.36 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 122.27 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Standard Motor Products | 829.50 Mn | 844.10 Mn | 164.62 Mn | 1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Bn |
| Mar 31, 2026 | 1.23 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.22 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.19 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 607.55 Mn |
| Jun 30, 2024 | 653.65 Mn |
| Mar 31, 2024 | 627.46 Mn |
| Dec 31, 2023 | 570.16 Mn |
| Sep 30, 2023 | 580.50 Mn |
| Jun 30, 2023 | 602.17 Mn |
| Mar 31, 2023 | 626.53 Mn |
| Dec 31, 2022 | 570.59 Mn |
| Sep 30, 2022 | 644.52 Mn |
| Jun 30, 2022 | 665.88 Mn |
| Mar 31, 2022 | 635.59 Mn |
| Dec 31, 2021 | 532.64 Mn |
| Sep 30, 2021 | 539.65 Mn |
API Access
Standard Motor Products Total Non-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-non-current-liabilities&ticker=SMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();