Carvana (CVNA) Change in Accured Expenses (2016 - 2026)
Carvana's Change in Accured Expenses was $199 million in Q2 2026, up 255.4% from $56 million a year earlier and up 22.1% from the prior quarter.
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Analysis
Carvana (CVNA) Change in Accured Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Carvana's Change in Accured Expenses was $561 million through Jun 30, 2026, up 271.5% year-over-year; for FY2025, it was $235 million, down 9.6% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $260 million in FY2024, -$166 million in FY2023, -$46 million in FY2022 and $247 million in FY2021 (+162.8%).
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q1 2016.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 163.3%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2025 (growth of 350.0%); the worst was Q2 2022 (a decline of 92.3%).
- Per Business Quant data, CVNA's Change in Accured Expenses in the three quarters before Q2 2026 was $163 million (Q1 2026), $82 million (Q4 2025) and $117 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | - |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 199.00 Mn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 595.00 Mn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 111.71 Mn |
| 10 | JD.com | 32.86 Bn | -77.35 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 199.00 Mn |
| Mar 31, 2026 | 163.00 Mn |
| Dec 31, 2025 | 82.00 Mn |
| Sep 30, 2025 | 117.00 Mn |
| Jun 30, 2025 | 56.00 Mn |
| Mar 31, 2025 | -20.00 Mn |
| Dec 31, 2024 | 89.00 Mn |
| Sep 30, 2024 | 26.00 Mn |
| Jun 30, 2024 | 36.00 Mn |
| Mar 31, 2024 | 109.00 Mn |
| Dec 31, 2023 | -82.00 Mn |
| Sep 30, 2023 | -60.00 Mn |
| Jun 30, 2023 | -125.00 Mn |
| Mar 31, 2023 | 101.00 Mn |
| Dec 31, 2022 | -201.00 Mn |
| Sep 30, 2022 | 33.00 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 117.00 Mn |
| Dec 31, 2021 | -72.00 Mn |
| Sep 30, 2021 | 103.00 Mn |
API Access
Carvana 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=CVNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CVNA", "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=CVNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();