Tesla (TSLA) Change in Accrued Expenses (2010 - 2026)
Tesla's Change in Accrued Expenses came in at $3.99 billion for Q3 2026, up 142.5% from $1.65 billion a year earlier and up 105.7% from the prior quarter.
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Analysis
Tesla (TSLA) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Tesla reported Change in Accrued Expenses of $8.73 billion, up 114.8% year-over-year; for FY2025, it was $4.38 billion, up 22.0% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Change in Accrued 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 Q3 2026 figure represents the highest quarterly Change in Accrued Expenses in data going back to Q3 2010.
- Year-over-year, Change in Accrued Expenses has increased for four consecutive quarters, with growth averaging 66.8% over the last seven quarters.
- The fastest year-over-year change in Change in Accrued 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 Accrued Expenses at $1.94 billion (Q2 2026), $1.4 billion (Q1 2026) and $1.4 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 3.99 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | - |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | - |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 3.34 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | -839.67 Mn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | - |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 260.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | - |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.99 Bn |
| 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 |
API Access
Tesla Change in Accrued 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();