Cars.com (CARS) Cost of Revenue (2016 - 2019)
Cars.com (CARS) recorded Cost of Revenue of $86.51 million in FY2024, up 3.0% from $84.02 million in FY2023.
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Analysis
Cars.com (CARS) Cost of Revenue (2016 - 2019) Analysis & Trends
Starting with FY2015, Cars.com's Cost of Revenue history includes 7 years.
- The FY2024 figure is the highest annual Cost of Revenue since FY2018.
- Per Business Quant data, CARS's Cost of Revenue was $84.02 million in FY2023 (+5.1%) and $79.97 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | Cars.com | 540.34 Mn | 331.15 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 24.32 Mn |
| Mar 31, 2019 | 25.58 Mn |
| Dec 31, 2018 | 26.44 Mn |
| Sep 30, 2018 | 23.81 Mn |
| Jun 30, 2018 | 22.50 Mn |
| Mar 31, 2018 | 17.99 Mn |
| Dec 31, 2017 | 15.92 Mn |
| Sep 30, 2017 | 18.18 Mn |
| Jun 30, 2017 | 15.54 Mn |
| Mar 31, 2017 | 15.90 Mn |
| Dec 31, 2016 | 14.57 Mn |
| Sep 30, 2016 | 15.03 Mn |
| Jun 30, 2016 | 13.63 Mn |
| Mar 31, 2016 | 13.56 Mn |
API Access
Cars.com Cost of Revenue 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=cost-of-revenue&ticker=CARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();