Tesla (TSLA) Change in Accured Expenses (2010 - 2026)
Tesla's Change in Accured Expenses came in at $1.94 billion for Q2 2026, up 209.4% from $627 million a year earlier and up 38.5% from the prior quarter.
Powered by 
Analysis
Tesla (TSLA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Tesla reported Change in Accured Expenses of $6.38 billion, up 36.6% year-over-year; for FY2025, it was $4.38 billion, up 22.0% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $3.59 billion in FY2024 (+37.7%), $2.61 billion in FY2023 (-67.6%), $8.03 billion in FY2022 (+49.6%) and $5.37 billion in FY2021 (+155.3%).
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses since Q3 2024.
- Year-over-year, Change in Accured Expenses has increased for three consecutive quarters, with growth averaging 54.2% over the last six quarters.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2026 (growth of 209.4%), and the weakest in Q4 2023 (a decline of 79.7%).
- Business Quant data shows TSLA's Change in Accured Expenses at $1.4 billion (Q1 2026), $1.4 billion (Q4 2025) and $1.65 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 1.94 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | - |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | - |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 1.78 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | -839.67 Mn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 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 | 190.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | - |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.94 Bn |
| Mar 31, 2026 | 1.40 Bn |
| Dec 31, 2025 | 1.40 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 627.00 Mn |
| Mar 31, 2025 | 706.00 Mn |
| Dec 31, 2024 | 1.08 Bn |
| Sep 30, 2024 | 2.26 Bn |
| Jun 30, 2024 | -998.00 Mn |
| Mar 31, 2024 | 1.25 Bn |
| Dec 31, 2023 | 683.00 Mn |
| Sep 30, 2023 | -627.00 Mn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 3.37 Bn |
| Sep 30, 2022 | 3.25 Bn |
| Jun 30, 2022 | 409.00 Mn |
| Mar 31, 2022 | 997.00 Mn |
| Dec 31, 2021 | 2.60 Bn |
| Sep 30, 2021 | 1.17 Bn |
API Access
Tesla Change in Accured Expenses 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=change-in-accured-expenses&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();