Standard Motor Products (SMP) Non-Current Assets (2010 - 2026)
Standard Motor Products (SMP) reported Non-Current Assets of $918.41 million for Q2 2026, down 2.5% from $942.28 million a year earlier and down 1.1% from the prior quarter.
Standard Motor Products (SMP) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Standard Motor Products posted Non-Current Assets of $944.79 million, up 5.9% from FY2024.
- Non-Current Assets has increased for five consecutive years, with a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $892.2 million in FY2024 (+62.6%), $548.82 million in FY2023 (+11.4%), $492.49 million in FY2022 (+1.2%) and $486.76 million in FY2021 (+36.0%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q1 2025.
- Year over year, Non-Current Assets gained in seven of the last eight quarters, with growth averaging 34.2%.
- The high point for year-over-year Non-Current Assets in five years was Q3 2025 (growth of 69.3%); the low point was Q2 2026 (a decline of 2.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $928.75 million (Q1 2026), $944.79 million (Q4 2025) and $943.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,243.22 Bn | 1,069.25 Bn | 4.75 Bn | 79.77 Bn |
| 2 | Ferrari | 71.17 Bn | 63.66 Bn | 1.18 Bn | 5.71 Bn |
| 3 | General Motors | 68.51 Bn | -38.00 Bn | 7.33 Bn | 172.73 Bn |
| 4 | Ford Motor | 48.04 Bn | -94.45 Bn | 6.08 Bn | 168.04 Bn |
| 5 | Honda Motor | 45.53 Bn | -104.28 Bn | 8.46 Bn | 130.83 Bn |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn | 393.91 Bn |
| 7 | Magna International | 18.22 Bn | 12.25 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.64 Bn | -6.67 Bn | 179.00 Mn | 7.52 Bn |
| 9 | Stellantis | 12.44 Bn | -152.21 Bn | 5.55 Bn | 140.54 Bn |
| 10 | Standard Motor Products | 827.58 Mn | 827.58 Mn | 164.62 Mn | 918.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 918.41 Mn |
| Mar 31, 2026 | 928.75 Mn |
| Dec 31, 2025 | 944.79 Mn |
| Sep 30, 2025 | 943.81 Mn |
| Jun 30, 2025 | 942.28 Mn |
| Mar 31, 2025 | 910.01 Mn |
| Dec 31, 2024 | 892.20 Mn |
| Sep 30, 2024 | 557.33 Mn |
| Jun 30, 2024 | 557.67 Mn |
| Mar 31, 2024 | 555.13 Mn |
| Dec 31, 2023 | 548.82 Mn |
| Sep 30, 2023 | 537.52 Mn |
| Jun 30, 2023 | 514.26 Mn |
| Mar 31, 2023 | 516.17 Mn |
| Dec 31, 2022 | 492.49 Mn |
| Sep 30, 2022 | 489.05 Mn |
| Jun 30, 2022 | 483.69 Mn |
| Mar 31, 2022 | 490.99 Mn |
| Dec 31, 2021 | 486.76 Mn |
| Sep 30, 2021 | 484.88 Mn |
Standard Motor Products 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=non-current-assets&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();