Carvana (CVNA) Long-Term Debt Repayments (2016 - 2026)
Carvana (CVNA) posted Long-Term Debt Repayments of $21 million for Q2 2026, unchanged from $21 million a year earlier and up 5.0% from the prior quarter.
Carvana (CVNA) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Carvana was $763 million, up 105.1% year-over-year; for FY2025, it was $820 million, up 42.1% from FY2024.
- Annual Long-Term Debt Repayments has increased for four consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior years, Carvana's Long-Term Debt Repayments was $577 million in FY2024 (+14.7%), $503 million in FY2023 (+204.8%), $165 million in FY2022 (+126.0%) and $73 million in FY2021 (-88.8%).
- Quarterly Long-Term Debt Repayments has run from a low of $17 million in Q3 2021 to a high of $598 million in Q3 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last eight quarters, with growth averaging 90.0%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2023, with growth of 755.6%; the weakest was Q4 2021, with a decline of 95.8%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $20 million (Q1 2026), $124 million (Q4 2025) and $598 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,786.69 Bn | 2,303.39 Bn | 104.83 Bn | 2.75 Bn |
| 2 | Home Depot | 292.25 Bn | 285.49 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 156.35 Bn | 133.89 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.35 Bn | 98.31 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 71.70 Bn | 54.63 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 70.98 Bn | 70.07 Bn | 2.52 Bn | - |
| 7 | Target | 68.97 Bn | 63.56 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 47.65 Bn | 46.55 Bn | 2.52 Bn | 345.90 Mn |
| 9 | Carvana | 43.47 Bn | 33.96 Bn | 1.38 Bn | 21.00 Mn |
| 10 | JD.com | 38.15 Bn | -82.06 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.00 Mn |
| Mar 31, 2026 | 20.00 Mn |
| Dec 31, 2025 | 124.00 Mn |
| Sep 30, 2025 | 598.00 Mn |
| Jun 30, 2025 | 21.00 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 150.00 Mn |
| Sep 30, 2024 | 124.00 Mn |
| Jun 30, 2024 | 280.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | 385.00 Mn |
| Jun 30, 2023 | 48.00 Mn |
| Mar 31, 2023 | 37.00 Mn |
| Dec 31, 2022 | 54.00 Mn |
| Sep 30, 2022 | 45.00 Mn |
| Jun 30, 2022 | 30.00 Mn |
| Mar 31, 2022 | 36.00 Mn |
| Dec 31, 2021 | 27.00 Mn |
| Sep 30, 2021 | 17.00 Mn |
Carvana Long-Term Debt Repayments 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-debt-repayments&ticker=CVNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CVNA", "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-debt-repayments&ticker=CVNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();