Vroom (VRM) Total Non-Current Liabilities (2019 - 2026)
Vroom's Total Non-Current Liabilities came in at $800.01 million for Q2 2026, up 2.4% from $781.56 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Vroom (VRM) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Vroom's Total Non-Current Liabilities was $779.62 million, down 3.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $806.06 million in FY2024 (-37.3%), $1.29 billion in FY2023 (+20.5%), $1.07 billion in FY2022 (-26.2%) and $1.45 billion in FY2021 (+192.5%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q4 2024.
- Year-over-year, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 17.8%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 265.7%), and the weakest in Q4 2024 (a decline of 37.3%).
- Business Quant data shows VRM's Total Non-Current Liabilities at $796.22 million (Q1 2026), $779.62 million (Q4 2025) and $781.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 77.86 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 9.32 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 4,200.68 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 105.01 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 10.25 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 1.76 Bn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 126.51 Bn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | 16.51 Bn |
| 10 | Vroom | 51.30 Mn | -231.42 Mn | - | 800.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 800.01 Mn |
| Mar 31, 2026 | 796.22 Mn |
| Dec 31, 2025 | 779.62 Mn |
| Sep 30, 2025 | 781.56 Mn |
| Jun 30, 2025 | 781.56 Mn |
| Mar 31, 2025 | 782.79 Mn |
| Dec 31, 2024 | 806.06 Mn |
| Sep 30, 2024 | 1.07 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.29 Bn |
| Sep 30, 2023 | 1.37 Bn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.23 Bn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 1.35 Bn |
| Jun 30, 2022 | 1.63 Bn |
| Mar 31, 2022 | 1.71 Bn |
| Dec 31, 2021 | 1.45 Bn |
| Sep 30, 2021 | 1.36 Bn |
API Access
Vroom 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=VRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VRM", "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=VRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();