Carvana (CVNA) Long-Term Debt Repayments (2016 - 2026)
Carvana (CVNA) posted Long-Term Debt Repayments of $1.73 billion for Q3 2026, up 189.8% from $598 million a year earlier.
Carvana (CVNA) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Long-Term Debt Repayments at Carvana was $1.9 billion, up 124.3% 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%).
- The Q3 2026 figure stands as the highest quarterly Long-Term Debt Repayments in data going back to Q3 2016.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last eight quarters, with growth averaging 122.2%.
- 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 $21 million (Q2 2026), $20 million (Q1 2026) and $124 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,653.16 Bn | 2,653.16 Bn | - | - |
| 2 | Home Depot | 338.76 Bn | 332.00 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 155.97 Bn | 133.51 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 121.83 Bn | 114.80 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 74.90 Bn | 74.90 Bn | 2.68 Bn | - |
| 6 | Ross Stores | 73.46 Bn | 56.38 Bn | 2.12 Bn | - |
| 7 | Target | 72.26 Bn | 66.85 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.81 Bn | 52.66 Bn | 3.52 Bn | 476.85 Mn |
| 9 | Carvana | 51.56 Bn | 41.15 Bn | 1.52 Bn | 1.73 Bn |
| 10 | JD.com | 37.45 Bn | -82.75 Bn | 8.74 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.73 Bn |
| 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 |
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();