Carvana (CVNA) Change in Accrued Expenses (2016 - 2026)
Carvana's Change in Accrued Expenses was $113 million in Q3 2026, down 3.4% from $117 million a year earlier and down 43.2% from the prior quarter.
Carvana (CVNA) Change in Accrued Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Carvana's Change in Accrued Expenses was $557 million through Sep 30, 2026, up 130.2% year-over-year; for FY2025, it was $235 million, down 9.6% from FY2024.
- Change in Accrued Expenses shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In earlier years, Change in Accrued Expenses was $260 million in FY2024, -$166 million in FY2023, -$46 million in FY2022 and $247 million in FY2021 (+162.8%).
- Quarterly Change in Accrued Expenses has moved between -$201 million (Q4 2022) and $199 million (Q2 2026) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in three of the last five quarters, with growth averaging 129.9%.
- The best year-over-year quarter for Change in Accrued 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 Accrued Expenses in the three quarters before Q3 2026 was $199 million (Q2 2026), $163 million (Q1 2026) and $82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | -3.85 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | - |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 595.00 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 113.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 111.08 Mn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 113.00 Mn |
| 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 |
Carvana 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=CVNA&period=max&api_key=YOUR_API_KEY
import 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();