Standard Motor Products (SMP) Other Non-Current Assets (2010 - 2026)
Standard Motor Products (SMP) recorded Other Non-Current Assets of $34.63 million in Q2 2026, up 10.3% from $31.39 million a year earlier and up 6.3% from the prior quarter.
Standard Motor Products (SMP) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Standard Motor Products reported Other Non-Current Assets of $32.04 million, down 3.3% from FY2024.
- Annual Other Non-Current Assets has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Assets came in at $33.14 million in FY2024 (-6.0%), $35.27 million in FY2023 (+28.2%), $27.51 million in FY2022 (+8.3%) and $25.4 million in FY2021 (+16.4%).
- The Q2 2026 figure is the highest quarterly Other Non-Current Assets since Q2 2024.
- On a year-over-year basis, Other Non-Current Assets rose in two of the last eight quarters, with an average decline of 5.8%.
- Peak year-over-year performance for Other Non-Current Assets in the last five years was growth of 40.7% in Q1 2024, against a decline of 18.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.57 million (Q1 2026), $32.04 million (Q4 2025) and $32.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,231.10 Bn | 1,057.12 Bn | 4.75 Bn | 9.45 Bn |
| 2 | Ferrari | 70.90 Bn | 63.39 Bn | 1.18 Bn | - |
| 3 | General Motors | 67.40 Bn | -37.21 Bn | 9.28 Bn | 9.50 Bn |
| 4 | Ford Motor | 47.78 Bn | -94.71 Bn | 6.08 Bn | 13.52 Bn |
| 5 | Honda Motor | 46.11 Bn | -103.70 Bn | 8.46 Bn | 3.24 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 4.89 Bn |
| 7 | Magna International | 18.23 Bn | 12.25 Bn | 1.61 Bn | 1.18 Bn |
| 8 | Rivian Automotive | 15.97 Bn | -7.34 Bn | 179.00 Mn | 560.00 Mn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn | 11.42 Mn |
| 10 | Standard Motor Products | 841.96 Mn | 841.96 Mn | 164.62 Mn | 34.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.63 Mn |
| Mar 31, 2026 | 32.57 Mn |
| Dec 31, 2025 | 32.04 Mn |
| Sep 30, 2025 | 32.32 Mn |
| Jun 30, 2025 | 31.39 Mn |
| Mar 31, 2025 | 31.70 Mn |
| Dec 31, 2024 | 33.14 Mn |
| Sep 30, 2024 | 33.01 Mn |
| Jun 30, 2024 | 38.66 Mn |
| Mar 31, 2024 | 38.63 Mn |
| Dec 31, 2023 | 35.27 Mn |
| Sep 30, 2023 | 37.37 Mn |
| Jun 30, 2023 | 29.44 Mn |
| Mar 31, 2023 | 27.46 Mn |
| Dec 31, 2022 | 27.51 Mn |
| Sep 30, 2022 | 30.07 Mn |
| Jun 30, 2022 | 27.19 Mn |
| Mar 31, 2022 | 28.53 Mn |
| Dec 31, 2021 | 25.40 Mn |
| Sep 30, 2021 | 24.86 Mn |
Standard Motor Products Other Non-Current Assets 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-assets&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-assets&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();