Cars.com (CARS) Total Non-Current Liabilities (2016 - 2026)
Cars.com (CARS) posted Total Non-Current Liabilities of $471.2 million for Q2 2026, down 2.3% from $482.51 million a year earlier and down 1.0% from the prior quarter.
Cars.com (CARS) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Cars.com's Total Non-Current Liabilities came in at $476.5 million, down 1.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- In prior years, Cars.com's Total Non-Current Liabilities was $483.5 million in FY2024 (-9.6%), $534.59 million in FY2023 (unchanged), $534.43 million in FY2022 (+3.8%) and $514.9 million in FY2021 (-20.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2017.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last seven quarters, with an average decline of 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2024, with growth of 8.3%; the weakest was Q4 2021, with a decline of 20.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $476.12 million (Q1 2026), $476.5 million (Q4 2025) and $477 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.21 Bn |
| 10 | Cars.com | 553.28 Mn | 344.09 Mn | - | 471.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 471.20 Mn |
| Mar 31, 2026 | 476.12 Mn |
| Dec 31, 2025 | 476.50 Mn |
| Sep 30, 2025 | 477.00 Mn |
| Jun 30, 2025 | 482.51 Mn |
| Mar 31, 2025 | 482.82 Mn |
| Dec 31, 2024 | 483.50 Mn |
| Sep 30, 2024 | 504.69 Mn |
| Jun 30, 2024 | 507.07 Mn |
| Mar 31, 2024 | 552.32 Mn |
| Dec 31, 2023 | 534.59 Mn |
| Sep 30, 2023 | 489.21 Mn |
| Jun 30, 2023 | 487.52 Mn |
| Mar 31, 2023 | 509.89 Mn |
| Dec 31, 2022 | 534.43 Mn |
| Sep 30, 2022 | 567.41 Mn |
| Jun 30, 2022 | 575.25 Mn |
| Mar 31, 2022 | 577.33 Mn |
| Dec 31, 2021 | 514.90 Mn |
| Sep 30, 2021 | 535.18 Mn |
Cars.com Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CARS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();