Tesla (TSLA) Tax Provisions (2010 - 2026)
Tesla's (TSLA) quarterly Tax Provisions came in at $201.0 million in Q2 2026, down 44.01% year-over-year from $359.0 million in Q2 2025, and down 21.79% quarter-over-quarter from $257.0 million in Q1 2026.
Tesla (TSLA) Tax Provisions (2010 - 2026) Analysis & Trends
Tesla has disclosed Tax Provisions across 17 years of filings, most recently posting $201.0 million for Q2 2026.
- In Q2 2026, Tax Provisions fell 44.01% year-over-year to $201.0 million; the TTM figure through Jun 2026 stood at $1.4 billion (down 10.63% YoY), while the FY2025 annual figure was $1.4 billion, down 22.66% from the prior year.
- Tax Provisions came in at $201.0 million for Q2 2026 at Tesla, down from $257.0 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $602.0 million in Q3 2024 to a low of -$5.8 billion in Q4 2023.
- Average Tax Provisions over 5 years is -$8.2 million, with a median of $314.0 million recorded in 2022.
- Year-over-year, Tax Provisions jumped 401.45% in 2022 and sank 2184.06% in 2023.
- Over 5 years, Tax Provisions stood at $276.0 million in 2022, then slumped by 2184.06% to -$5.8 billion in 2023, then surged by 106.68% to $384.0 million in 2024, then dropped by 15.36% to $325.0 million in 2025, then tumbled by 38.15% to $201.0 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $201.0 million in Q2 2026, $257.0 million in Q1 2026, and $325.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 201.00 Mn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | -5.20 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 160.68 Mn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | -823.19 Mn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | 214.00 Mn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | -711.00 Mn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | -1.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | 120.00 Mn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 240.61 Mn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | 35.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201.00 Mn |
| Mar 31, 2026 | 257.00 Mn |
| Dec 31, 2025 | 325.00 Mn |
| Sep 30, 2025 | 570.00 Mn |
| Jun 30, 2025 | 359.00 Mn |
| Mar 31, 2025 | 169.00 Mn |
| Dec 31, 2024 | 384.00 Mn |
| Sep 30, 2024 | 602.00 Mn |
| Jun 30, 2024 | 371.00 Mn |
| Mar 31, 2024 | 483.00 Mn |
| Dec 31, 2023 | -5.75 Bn |
| Sep 30, 2023 | 167.00 Mn |
| Jun 30, 2023 | 323.00 Mn |
| Mar 31, 2023 | 261.00 Mn |
| Dec 31, 2022 | 276.00 Mn |
| Sep 30, 2022 | 305.00 Mn |
| Jun 30, 2022 | 205.00 Mn |
| Mar 31, 2022 | 346.00 Mn |
| Dec 31, 2021 | 292.00 Mn |
| Sep 30, 2021 | 223.00 Mn |
Tesla Tax Provisions 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=tax-provisions&ticker=TSLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();