Coupang (CPNG) Long-Term Debt Repayments (2020 - 2026)
Coupang (CPNG) recorded Long-Term Debt Repayments of $2.18 billion in Q3 2026, up 86.8% from $1.17 billion a year earlier and up 165.8% from the prior quarter.
Coupang (CPNG) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a TTM basis, Coupang's Long-Term Debt Repayments came in at $5.27 billion as of Sep 30, 2026, up 136.3% year-over-year; for FY2025, it came in at $2.88 billion, up 262.8% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 141.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $794 million in FY2024 (+102.6%), $392 million in FY2023 (-16.1%), $467 million in FY2022 (+39.0%) and $336 million in FY2021 (+856.1%).
- The Q3 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to Q1 2020.
- On a year-over-year basis, Long-Term Debt Repayments has increased for six consecutive quarters, with growth averaging 249.6% over the last seven quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 748.9% in Q2 2025, against a decline of 99.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $821 million (Q2 2026), $1.2 billion (Q1 2026) and $1.06 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.87 Bn | 2,323.54 Bn | 107.37 Bn | 547.00 Mn |
| 2 | Home Depot | 342.85 Bn | 336.09 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 151.27 Bn | 128.82 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 126.12 Bn | 119.09 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 74.63 Bn | 73.72 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 74.12 Bn | 57.05 Bn | 2.12 Bn | - |
| 7 | Target | 72.35 Bn | 66.93 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.39 Bn | 52.24 Bn | 3.52 Bn | 476.85 Mn |
| 9 | Carvana | 53.26 Bn | 42.85 Bn | 1.52 Bn | 1.73 Bn |
| 10 | Coupang | 28.99 Bn | 4.82 Bn | 2.56 Bn | 2.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.18 Bn |
| Jun 30, 2026 | 821.00 Mn |
| Mar 31, 2026 | 1.20 Bn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 382.00 Mn |
| Mar 31, 2025 | 267.00 Mn |
| Dec 31, 2024 | 411.00 Mn |
| Sep 30, 2024 | 321.00 Mn |
| Jun 30, 2024 | 45.00 Mn |
| Mar 31, 2024 | 17.00 Mn |
| Dec 31, 2023 | 328.00 Mn |
| Sep 30, 2023 | 27.00 Mn |
| Jun 30, 2023 | 36.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 129.93 Mn |
| Sep 30, 2022 | 3.97 Mn |
| Jun 30, 2022 | 181.07 Mn |
| Mar 31, 2022 | 152.03 Mn |
| Dec 31, 2021 | 224.53 Mn |
Coupang 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=CPNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CPNG", "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=CPNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();