Cars.com (CARS) Enterprise Value (2017 - 2026)
Cars.com (CARS) posted Enterprise Value of $556.66 million for Q2 2026, down 21.0% from $704.61 million a year earlier but up 39.2% from the prior quarter.
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Analysis
Cars.com (CARS) Enterprise Value (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Cars.com was $380.76 million, down 33.5% year-over-year; for FY2025, it came in at $659.12 million, down 38.1% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Cars.com's Enterprise Value was $1.07 billion in FY2024 (-12.1%), $1.21 billion in FY2023 (+37.5%), $881.06 million in FY2022 (-18.0%) and $1.07 billion in FY2021 (+54.8%).
- Quarterly Enterprise Value has run from a low of $399.79 million in Q1 2026 to a high of $1.29 billion in Q2 2023 over five years.
- On a year-over-year basis, Enterprise Value has declined in each of the last ten quarters, with an average decline of 29.1% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2023, with growth of 106.1%; the weakest was Q2 2025, with a decline of 44.7%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $399.79 million (Q1 2026), $659.12 million (Q4 2025) and $682.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn |
| 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 |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - |
| 10 | Cars.com | 703.28 Mn | 484.61 Mn | 150.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 474.73 Mn |
| Jun 30, 2026 | 556.66 Mn |
| Mar 31, 2026 | 399.79 Mn |
| Dec 31, 2025 | 659.12 Mn |
| Sep 30, 2025 | 682.53 Mn |
| Jun 30, 2025 | 704.61 Mn |
| Mar 31, 2025 | 686.58 Mn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.04 Bn |
| Jun 30, 2024 | 1.27 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 1.07 Bn |
| Jun 30, 2023 | 1.29 Bn |
| Mar 31, 2023 | 1.27 Bn |
| Dec 31, 2022 | 881.06 Mn |
| Sep 30, 2022 | 736.86 Mn |
| Jun 30, 2022 | 625.41 Mn |
| Mar 31, 2022 | 976.80 Mn |
| Dec 31, 2021 | 1.07 Bn |
API Access
Cars.com Enterprise Value 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=enterprise-value&ticker=CARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();