Cars.com (CARS) EBITDA (2016 - 2026)
Cars.com's EBITDA came in at $45.22 million for Q2 2026, up 12.7% from $40.12 million a year earlier and up 35.6% from the prior quarter.
Cars.com (CARS) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cars.com reported EBITDA of $157.04 million, unchanged year-over-year; for FY2025, it was $152.09 million, down 5.3% from FY2024.
- Going back by year, EBITDA was $160.68 million in FY2024 (+3.6%), $155.12 million in FY2023 (-3.3%), $160.43 million in FY2022 (+6.8%) and $150.27 million in FY2021.
- The Q2 2026 figure represents the highest quarterly EBITDA since Q4 2018.
- Year-over-year, EBITDA increased in four of the last eight quarters, with an average decline of 0.3%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 47.7%), and the weakest in Q4 2021 (a decline of 29.2%).
- Business Quant data shows CARS's EBITDA at $33.35 million (Q1 2026), $38.21 million (Q4 2025) and $40.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 348.71 Mn |
| 10 | Cars.com | 553.28 Mn | 344.09 Mn | - | 45.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.22 Mn |
| Mar 31, 2026 | 33.35 Mn |
| Dec 31, 2025 | 38.21 Mn |
| Sep 30, 2025 | 40.27 Mn |
| Jun 30, 2025 | 40.12 Mn |
| Mar 31, 2025 | 33.50 Mn |
| Dec 31, 2024 | 44.46 Mn |
| Sep 30, 2024 | 39.02 Mn |
| Jun 30, 2024 | 37.09 Mn |
| Mar 31, 2024 | 40.11 Mn |
| Dec 31, 2023 | 41.55 Mn |
| Sep 30, 2023 | 39.99 Mn |
| Jun 30, 2023 | 37.00 Mn |
| Mar 31, 2023 | 36.57 Mn |
| Dec 31, 2022 | 43.52 Mn |
| Sep 30, 2022 | 43.03 Mn |
| Jun 30, 2022 | 38.39 Mn |
| Mar 31, 2022 | 35.49 Mn |
| Dec 31, 2021 | 29.46 Mn |
| Sep 30, 2021 | 37.63 Mn |
Cars.com EBITDA 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=ebitda&ticker=CARS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();