Cars.com (CARS) Cash & Equivalents (2016 - 2026)
Cars.com (CARS) recorded Cash & Equivalents of $33.29 million in Q2 2026, up 20.2% from $27.7 million a year earlier but down 48.5% from the prior quarter.
Cars.com (CARS) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Cars.com reported Cash & Equivalents of $56.24 million, up 11.0% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, though with a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $50.67 million in FY2024 (+29.3%), $39.2 million in FY2023 (+23.6%), $31.72 million in FY2022 (-18.8%) and $39.07 million in FY2021 (-42.3%).
- Quarterly Cash & Equivalents has ranged from $18.13 million in Q2 2022 to $64.6 million in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 105.5% in Q1 2026, against a decline of 65.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $64.6 million (Q1 2026), $56.24 million (Q4 2025) and $55.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Cars.com | 540.34 Mn | 331.15 Mn | - | 33.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.29 Mn |
| Mar 31, 2026 | 64.60 Mn |
| Dec 31, 2025 | 56.24 Mn |
| Sep 30, 2025 | 55.07 Mn |
| Jun 30, 2025 | 27.70 Mn |
| Mar 31, 2025 | 31.44 Mn |
| Dec 31, 2024 | 50.67 Mn |
| Sep 30, 2024 | 49.57 Mn |
| Jun 30, 2024 | 29.07 Mn |
| Mar 31, 2024 | 31.36 Mn |
| Dec 31, 2023 | 39.20 Mn |
| Sep 30, 2023 | 49.09 Mn |
| Jun 30, 2023 | 28.61 Mn |
| Mar 31, 2023 | 18.84 Mn |
| Dec 31, 2022 | 31.72 Mn |
| Sep 30, 2022 | 31.92 Mn |
| Jun 30, 2022 | 18.13 Mn |
| Mar 31, 2022 | 30.45 Mn |
| Dec 31, 2021 | 39.07 Mn |
| Sep 30, 2021 | 51.51 Mn |
Cars.com Cash & Equivalents 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=cash-and-equivalents&ticker=CARS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();