Cars.com (CARS) Change in Accrued Expenses (2016 - 2026)
Cars.com's Change in Accured Expenses came in at -$19.17 million for Q2 2026, compared with -$6.15 million a year earlier.
Powered by 
Analysis
Cars.com (CARS) Change in Accrued Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cars.com reported Change in Accured Expenses of -$8.18 million; for FY2025, it came in at $880,000, down 83.4% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -11.1% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $5.31 million in FY2024 (-54.3%), $11.64 million in FY2023, -$4.3 million in FY2022 and $5.29 million in FY2021 (+234.8%).
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses since Q4 2019.
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 8.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2023 (growth of 175.8%), and the weakest in Q3 2021 (a decline of 60.9%).
- Business Quant data shows CARS's Change in Accured Expenses at -$4.46 million (Q1 2026), $9 million (Q4 2025) and $6.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | -1.17 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 1.94 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 85.51 Mn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | - |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 880.00 Mn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 20.90 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | -1.61 Bn |
| 10 | Cars.com | 703.28 Mn | 484.61 Mn | 150.14 Mn | 4.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.28 Mn |
| Jun 30, 2026 | -19.17 Mn |
| Mar 31, 2026 | -4.46 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 30, 2025 | 6.45 Mn |
| Jun 30, 2025 | -6.15 Mn |
| Mar 31, 2025 | -8.42 Mn |
| Dec 31, 2024 | 7.38 Mn |
| Sep 30, 2024 | 6.77 Mn |
| Jun 30, 2024 | 4.75 Mn |
| Mar 31, 2024 | -13.59 Mn |
| Dec 31, 2023 | 9.90 Mn |
| Sep 30, 2023 | 4.71 Mn |
| Jun 30, 2023 | 3.93 Mn |
| Mar 31, 2023 | -6.90 Mn |
| Dec 31, 2022 | 3.59 Mn |
| Sep 30, 2022 | 2.02 Mn |
| Jun 30, 2022 | 3.58 Mn |
| Mar 31, 2022 | -13.49 Mn |
| Dec 31, 2021 | 5.66 Mn |
API Access
Cars.com 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=CARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CARS", "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=CARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();