Standard Motor Products (SMP) Non-Current Assets (2010 - 2026)
Standard Motor Products (SMP) reported Non-Current Assets of $916.26 million for Q3 2026, down 2.9% from $943.81 million a year earlier and down 0.2% from the prior quarter.
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Analysis
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 Q3 2026 figure ranks as the lowest quarterly Non-Current Assets since Q1 2025.
- Year over year, Non-Current Assets gained in six of the last eight quarters, with growth averaging 33.4%.
- The high point for year-over-year Non-Current Assets in five years was Q3 2025 (growth of 69.3%); the low point was Q3 2026 (a decline of 2.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $918.41 million (Q2 2026), $928.75 million (Q1 2026) and $944.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 87.12 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 173.32 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 5.64 Bn |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 171.21 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 392.25 Bn |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 7.59 Bn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 1.49 Bn |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 134.64 Bn |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 5.58 Bn |
| 10 | Standard Motor Products | 988.01 Mn | 988.01 Mn | 165.59 Mn | 916.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 916.26 Mn |
| 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 |
API Access
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_KEYimport 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();