Standard Motor Products (SMP) Other Non-Current Liabilities (2010 - 2026)
Standard Motor Products (SMP) reported Other Non-Current Liabilities of $104.29 million for Q2 2026, up 38.4% from $75.37 million a year earlier but down 5.0% from the prior quarter.
Standard Motor Products (SMP) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Standard Motor Products posted Other Non-Current Liabilities of $112.63 million, up 33.2% from FY2024.
- Other Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- By year, Other Non-Current Liabilities came in at $84.57 million in FY2024 (+17.4%), $72.01 million in FY2023 (+13.8%), $63.31 million in FY2022 (+20.1%) and $52.7 million in FY2021 (-4.6%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $48.03 million in Q2 2022 and a high of $115.04 million in Q3 2025.
- Year over year, Other Non-Current Liabilities has now increased in each of the last 16 quarters, with growth averaging 25.7% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was Q2 2026 (growth of 38.4%); the low point was Q2 2022 (a decline of 11.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $109.78 million (Q1 2026), $112.63 million (Q4 2025) and $115.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Standard Motor Products | 829.50 Mn | 844.10 Mn | 164.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.29 Mn |
| Mar 31, 2026 | 109.78 Mn |
| Dec 31, 2025 | 112.63 Mn |
| Sep 30, 2025 | 115.04 Mn |
| Jun 30, 2025 | 75.37 Mn |
| Mar 31, 2025 | 79.93 Mn |
| Dec 31, 2024 | 84.57 Mn |
| Sep 30, 2024 | 89.54 Mn |
| Jun 30, 2024 | 66.36 Mn |
| Mar 31, 2024 | 68.99 Mn |
| Dec 31, 2023 | 72.01 Mn |
| Sep 30, 2023 | 73.96 Mn |
| Jun 30, 2023 | 59.57 Mn |
| Mar 31, 2023 | 60.82 Mn |
| Dec 31, 2022 | 63.31 Mn |
| Sep 30, 2022 | 63.82 Mn |
| Jun 30, 2022 | 48.03 Mn |
| Mar 31, 2022 | 51.91 Mn |
| Dec 31, 2021 | 52.70 Mn |
| Sep 30, 2021 | 57.53 Mn |
Standard Motor Products Other 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=other-non-current-liabilities&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();