Coupang (CPNG) Cost of Revenue (2020 - 2026)
Coupang's Cost of Revenue was $7.4 billion in Q3 2026, up 13.0% from $6.55 billion a year earlier and up 16.3% from the prior quarter.
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Analysis
Coupang (CPNG) Cost of Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Coupang's Cost of Revenue was $26.26 billion through Sep 30, 2026, up 11.4% year-over-year; for FY2025, it was $24.39 billion, up 13.8% from FY2024.
- Cost of Revenue has now increased for six consecutive years, with a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $21.44 billion in FY2024 (+17.8%), $18.19 billion in FY2023 (+14.6%), $15.87 billion in FY2022 (+2.7%) and $15.46 billion in FY2021 (+54.8%).
- The Q3 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q1 2020.
- Compared with a year earlier, Cost of Revenue has increased for 15 straight quarters, with growth averaging 12.2% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2021 (growth of 35.4%); the worst was Q4 2022 (a decline of 5.2%).
- Per Business Quant data, CPNG's Cost of Revenue in the three quarters before Q3 2026 was $6.36 billion (Q2 2026), $6.21 billion (Q1 2026) and $6.29 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 94.57 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 17.38 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 2.38 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 17.60 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 6.52 Bn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 3.08 Bn |
| 10 | Coupang | 29.20 Bn | 5.03 Bn | 2.56 Bn | 7.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.40 Bn |
| Jun 30, 2026 | 6.36 Bn |
| Mar 31, 2026 | 6.21 Bn |
| Dec 31, 2025 | 6.29 Bn |
| Sep 30, 2025 | 6.55 Bn |
| Jun 30, 2025 | 5.96 Bn |
| Mar 31, 2025 | 5.59 Bn |
| Dec 31, 2024 | 5.47 Bn |
| Sep 30, 2024 | 5.60 Bn |
| Jun 30, 2024 | 5.18 Bn |
| Mar 31, 2024 | 5.19 Bn |
| Dec 31, 2023 | 4.88 Bn |
| Sep 30, 2023 | 4.62 Bn |
| Jun 30, 2023 | 4.31 Bn |
| Mar 31, 2023 | 4.38 Bn |
| Dec 31, 2022 | 4.05 Bn |
| Sep 30, 2022 | 3.87 Bn |
| Jun 30, 2022 | 3.88 Bn |
| Mar 31, 2022 | 4.07 Bn |
| Dec 31, 2021 | 4.27 Bn |
API Access
Coupang Cost of Revenue 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=cost-of-revenue&ticker=CPNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CPNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();