Cars.com (CARS) Long-Term Investments (2016 - 2026)
Cars.com (CARS) posted Long-Term Investments of $31.29 million for Q2 2026, up 18.9% from $26.31 million a year earlier but down 1.0% from the prior quarter.
Cars.com (CARS) Long-Term Investments (2016 - 2026) Analysis & Trends
At the end of FY2025, Cars.com's Long-Term Investments came in at $32.72 million, up 19.7% from FY2024.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior years, Cars.com's Long-Term Investments was $27.33 million in FY2024 (+30.3%), $20.98 million in FY2023 (-0.3%), $21.03 million in FY2022 (-0.4%) and $21.11 million in FY2021 (-0.1%).
- Quarterly Long-Term Investments has run from a low of $19.39 million in Q3 2021 to a high of $32.72 million in Q4 2025 over five years.
- On a year-over-year basis, Long-Term Investments has increased in each of the last nine quarters, with growth averaging 19.4% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q1 2025, with growth of 31.2%; the weakest was Q2 2023, with a decline of 7.0%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $31.61 million (Q1 2026), $32.72 million (Q4 2025) and $25.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 131.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 30.16 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 29.95 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 559.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 3.77 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 448.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 1.30 Bn |
| 10 | Cars.com | 540.34 Mn | 331.15 Mn | - | 31.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.29 Mn |
| Mar 31, 2026 | 31.61 Mn |
| Dec 31, 2025 | 32.72 Mn |
| Sep 30, 2025 | 25.69 Mn |
| Jun 30, 2025 | 26.31 Mn |
| Mar 31, 2025 | 26.92 Mn |
| Dec 31, 2024 | 27.33 Mn |
| Sep 30, 2024 | 24.28 Mn |
| Jun 30, 2024 | 23.22 Mn |
| Mar 31, 2024 | 20.53 Mn |
| Dec 31, 2023 | 20.98 Mn |
| Sep 30, 2023 | 20.43 Mn |
| Jun 30, 2023 | 20.15 Mn |
| Mar 31, 2023 | 21.09 Mn |
| Dec 31, 2022 | 21.03 Mn |
| Sep 30, 2022 | 21.52 Mn |
| Jun 30, 2022 | 21.67 Mn |
| Mar 31, 2022 | 21.54 Mn |
| Dec 31, 2021 | 21.11 Mn |
| Sep 30, 2021 | 19.39 Mn |
Cars.com Long-Term Investments 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=long-term-investments&ticker=CARS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();