Carvana (CVNA) Short-Term Debt repayments (2016 - 2026)
Carvana's Short-Term Debt repayments came in at $1.6 billion for Q3 2026, up 72.9% from $927 million a year earlier and up 29.7% from the prior quarter.
Carvana (CVNA) Short-Term Debt repayments (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Carvana reported Short-Term Debt repayments of $4.91 billion, up 37.9% year-over-year; for FY2025, it came in at $4.03 billion, up 8.9% from FY2024.
- Short-Term Debt repayments carries a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Going back by year, Short-Term Debt repayments was $3.7 billion in FY2024 (-51.2%), $7.58 billion in FY2023 (-43.9%), $13.5 billion in FY2022 (+7.3%) and $12.59 billion in FY2021 (+153.9%).
- The Q3 2026 figure represents the highest quarterly Short-Term Debt repayments since Q3 2023.
- Year-over-year, Short-Term Debt repayments increased in five of the last eight quarters, with growth averaging 25.5%.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in Q4 2021 (growth of 291.7%), and the weakest in Q4 2022 (a decline of 66.6%).
- Business Quant data shows CVNA's Short-Term Debt repayments at $1.24 billion (Q2 2026), $1.1 billion (Q1 2026) and $968 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,704.69 Bn | 2,221.39 Bn | 104.83 Bn | 9.57 Bn |
| 2 | Home Depot | 330.94 Bn | 324.18 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 151.66 Bn | 129.21 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 118.99 Bn | 111.95 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.60 Bn | 56.52 Bn | 2.12 Bn | - |
| 7 | Target | 70.08 Bn | 64.67 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.70 Bn | 51.54 Bn | 3.52 Bn | - |
| 9 | Carvana | 51.45 Bn | 41.04 Bn | 1.52 Bn | 1.60 Bn |
| 10 | JD.com | 38.29 Bn | -81.91 Bn | 8.74 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.60 Bn |
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 968.00 Mn |
| Sep 30, 2025 | 927.00 Mn |
| Jun 30, 2025 | 1.56 Bn |
| Mar 31, 2025 | 570.00 Mn |
| Dec 31, 2024 | 504.00 Mn |
| Sep 30, 2024 | 851.00 Mn |
| Jun 30, 2024 | 1.11 Bn |
| Mar 31, 2024 | 1.23 Bn |
| Dec 31, 2023 | 714.00 Mn |
| Sep 30, 2023 | 1.95 Bn |
| Jun 30, 2023 | 3.22 Bn |
| Mar 31, 2023 | 1.69 Bn |
| Dec 31, 2022 | 1.43 Bn |
| Sep 30, 2022 | 2.98 Bn |
| Jun 30, 2022 | 4.60 Bn |
| Mar 31, 2022 | 4.50 Bn |
| Dec 31, 2021 | 4.27 Bn |
Carvana Short-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=short-term-debt-repayments&ticker=CVNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=CVNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();