Tesla (TSLA) Inventory (2010 - 2026)
Tesla's (TSLA) quarterly Inventory came in at $13.8 billion in Q2 2026, down 5.61% year-over-year from $14.6 billion in Q2 2025, and down 4.72% quarter-over-quarter from $14.4 billion in Q1 2026.
Tesla (TSLA) Inventory (2010 - 2026) Analysis & Trends
Tesla has disclosed Inventory across 17 years of filings, most recently posting $13.8 billion for Q2 2026.
- In Q2 2026, Inventory fell 5.61% year-over-year to $13.8 billion; the TTM figure through Jun 2026 stood at $13.8 billion (down 5.61% YoY), while the FY2025 annual figure was $12.4 billion, up 3.12% from the prior year.
- Inventory came in at $13.8 billion for Q2 2026 at Tesla, down from $14.4 billion in the prior quarter.
- In the past five years, Inventory ranged from a high of $16.0 billion in Q1 2024 to a low of $6.7 billion in Q1 2022.
- Average Inventory over 5 years is $12.9 billion, with a median of $13.7 billion recorded in 2023.
- Year-over-year, Inventory soared 123.02% in 2022 and slipped 15.51% in 2025.
- Over 5 years, Inventory stood at $12.8 billion in 2022, then increased by 6.13% to $13.6 billion in 2023, then fell by 11.81% to $12.0 billion in 2024, then increased by 3.12% to $12.4 billion in 2025, then advanced by 10.97% to $13.8 billion in 2026.
- Per Business Quant data, the three most recent Inventory figures were $13.8 billion in Q2 2026, $14.4 billion in Q1 2026, and $12.4 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 13.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | 34.32 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 1.44 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | 16.00 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | 15.95 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | 16.95 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | 1.66 Bn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | 4.01 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 27.88 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | 1.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.75 Bn |
| Mar 31, 2026 | 14.43 Bn |
| Dec 31, 2025 | 12.39 Bn |
| Sep 30, 2025 | 12.28 Bn |
| Jun 30, 2025 | 14.57 Bn |
| Mar 31, 2025 | 13.71 Bn |
| Dec 31, 2024 | 12.02 Bn |
| Sep 30, 2024 | 14.53 Bn |
| Jun 30, 2024 | 14.20 Bn |
| Mar 31, 2024 | 16.03 Bn |
| Dec 31, 2023 | 13.63 Bn |
| Sep 30, 2023 | 13.72 Bn |
| Jun 30, 2023 | 14.36 Bn |
| Mar 31, 2023 | 14.38 Bn |
| Dec 31, 2022 | 12.84 Bn |
| Sep 30, 2022 | 10.33 Bn |
| Jun 30, 2022 | 8.11 Bn |
| Mar 31, 2022 | 6.69 Bn |
| Dec 31, 2021 | 5.76 Bn |
| Sep 30, 2021 | 5.20 Bn |
Tesla Inventory 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=inventory&ticker=TSLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();