Tesla (TSLA) Non-Current Assets (2010 - 2026)
Tesla (TSLA) posted Non-Current Assets of $79.77 billion for Q2 2026, up 18.3% from $67.43 billion a year earlier and up 7.8% from the prior quarter.
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Analysis
Tesla (TSLA) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Tesla's Non-Current Assets came in at $69.16 billion, up 8.6% from FY2024.
- Annual Non-Current Assets has increased for seven consecutive years, with a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- In prior years, Tesla's Non-Current Assets was $63.71 billion in FY2024 (+11.8%), $57 billion in FY2023 (+37.6%), $41.42 billion in FY2022 (+18.2%) and $35.03 billion in FY2021 (+37.7%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q4 2010.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 30 quarters, with growth averaging 14.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Assets ranged from 8.6% (Q4 2025) to 37.7% (Q4 2021).
- According to Business Quant data, Non-Current Assets for the three prior quarters was $73.98 billion (Q1 2026), $69.16 billion (Q4 2025) and $69.08 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 79.77 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 172.73 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 5.71 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 168.04 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 130.83 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 393.91 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | 7.52 Bn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 140.54 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | 6.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.77 Bn |
| Mar 31, 2026 | 73.98 Bn |
| Dec 31, 2025 | 69.16 Bn |
| Sep 30, 2025 | 69.08 Bn |
| Jun 30, 2025 | 67.43 Bn |
| Mar 31, 2025 | 65.72 Bn |
| Dec 31, 2024 | 63.71 Bn |
| Sep 30, 2024 | 63.47 Bn |
| Jun 30, 2024 | 59.86 Bn |
| Mar 31, 2024 | 58.69 Bn |
| Dec 31, 2023 | 57.00 Bn |
| Sep 30, 2023 | 48.92 Bn |
| Jun 30, 2023 | 46.72 Bn |
| Mar 31, 2023 | 43.84 Bn |
| Dec 31, 2022 | 41.42 Bn |
| Sep 30, 2022 | 38.44 Bn |
| Jun 30, 2022 | 37.29 Bn |
| Mar 31, 2022 | 36.99 Bn |
| Dec 31, 2021 | 35.03 Bn |
| Sep 30, 2021 | 32.83 Bn |
API Access
Tesla 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=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "TSLA", "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=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();