Tesla (TSLA) Intangibles (2010 - 2026)
Tesla's (TSLA) quarterly Intangibles came in at $674.0 million in Q2 2026, up 388.41% year-over-year from $138.0 million in Q2 2025, and down 14.25% quarter-over-quarter from $786.0 million in Q1 2026.
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Analysis
Tesla (TSLA) Intangibles (2010 - 2026) Analysis & Trends
Tesla has disclosed Intangibles across 17 years of filings, most recently posting $674.0 million for Q2 2026.
- In Q2 2026, Intangibles rose 388.41% year-over-year to $674.0 million; the TTM figure through Jun 2026 stood at $674.0 million (up 388.41% YoY), while the FY2025 annual figure was $1.0 billion, down 6.32% from the prior year.
- Intangibles came in at $674.0 million for Q2 2026 at Tesla, down from $786.0 million in the prior quarter.
- In the past five years, Intangibles ranged from a high of $1.1 billion in Q4 2024 to a low of $131.0 million in Q3 2025.
- Average Intangibles over 5 years is $398.4 million, with a median of $209.5 million recorded in 2022.
- Year-over-year, Intangibles sank 64.36% in 2022 and jumped 445.83% in 2026.
- Over 5 years, Intangibles stood at $215.0 million in 2022, then surged by 126.51% to $487.0 million in 2023, then soared by 120.94% to $1.1 billion in 2024, then slipped by 6.32% to $1.0 billion in 2025, then tumbled by 33.13% to $674.0 million in 2026.
- Per Business Quant data, the three most recent Intangibles figures were $674.0 million in Q2 2026, $786.0 million in Q1 2026, and $1.0 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 674.00 Mn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | - |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 1.98 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | - |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | - |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | - |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | 430.00 Mn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 18.36 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | 171.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 674.00 Mn |
| Mar 31, 2026 | 786.00 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 131.00 Mn |
| Jun 30, 2025 | 138.00 Mn |
| Mar 31, 2025 | 144.00 Mn |
| Dec 31, 2024 | 1.08 Bn |
| Sep 30, 2024 | 158.00 Mn |
| Jun 30, 2024 | 164.00 Mn |
| Mar 31, 2024 | 171.00 Mn |
| Dec 31, 2023 | 487.00 Mn |
| Sep 30, 2023 | 191.00 Mn |
| Jun 30, 2023 | 202.00 Mn |
| Mar 31, 2023 | 204.00 Mn |
| Dec 31, 2022 | 215.00 Mn |
| Sep 30, 2022 | 474.00 Mn |
| Jun 30, 2022 | 474.00 Mn |
| Mar 31, 2022 | 474.00 Mn |
| Dec 31, 2021 | 257.00 Mn |
| Sep 30, 2021 | 1.26 Bn |
API Access
Tesla Intangibles 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=intangibles&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();