Coupang (CPNG) Total Non-Current Liabilities (2020 - 2026)
Coupang (CPNG) reported Total Non-Current Liabilities of $13.73 billion for Q2 2026, up 9.9% from $12.49 billion a year earlier and up 7.3% from the prior quarter.
Coupang (CPNG) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Coupang posted Total Non-Current Liabilities of $12.49 billion, up 18.4% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $10.55 billion in FY2024 (+18.8%), $8.88 billion in FY2023 (+29.9%), $6.84 billion in FY2022 (+9.7%) and $6.23 billion in FY2021 (-30.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 15 quarters, with growth averaging 17.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 49.5%); the low point was Q4 2021 (a decline of 30.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.79 billion (Q1 2026), $12.49 billion (Q4 2025) and $13.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 7.19 Bn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 22.21 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Coupang | 28.37 Bn | 2.41 Bn | 2.49 Bn | 13.73 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.73 Bn |
| Mar 31, 2026 | 12.79 Bn |
| Dec 31, 2025 | 12.49 Bn |
| Sep 30, 2025 | 13.25 Bn |
| Jun 30, 2025 | 12.49 Bn |
| Mar 31, 2025 | 11.02 Bn |
| Dec 31, 2024 | 10.55 Bn |
| Sep 30, 2024 | 11.43 Bn |
| Jun 30, 2024 | 10.74 Bn |
| Mar 31, 2024 | 10.28 Bn |
| Dec 31, 2023 | 8.88 Bn |
| Sep 30, 2023 | 8.33 Bn |
| Jun 30, 2023 | 7.62 Bn |
| Mar 31, 2023 | 6.88 Bn |
| Dec 31, 2022 | 6.84 Bn |
| Sep 30, 2022 | 5.73 Bn |
| Jun 30, 2022 | 6.13 Bn |
| Mar 31, 2022 | 6.40 Bn |
| Dec 31, 2021 | 6.23 Bn |
| Dec 31, 2020 | 9.00 Bn |
Coupang 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=CPNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CPNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();