Coupang (CPNG) Accumulated Expenses (2020 - 2026)
Coupang (CPNG) posted Accumulated Expenses of $572 million for Q3 2026, up 22.5% from $467 million a year earlier but down 34.7% from the prior quarter.
Coupang (CPNG) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Coupang's Accumulated Expenses came in at $515 million, up 11.7% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- In prior years, Coupang's Accumulated Expenses was $461 million in FY2024 (+31.0%), $352 million in FY2023 (+17.7%), $299 million in FY2022 (-1.7%) and $304.29 million in FY2021 (+163.2%).
- Quarterly Accumulated Expenses has run from a low of $241.32 million in Q2 2022 to a high of $876 million in Q2 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 19.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 163.2%; the weakest was Q2 2025, with a decline of 16.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $876 million (Q2 2026), $406 million (Q1 2026) and $515 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn |
| 10 | Coupang | 29.20 Bn | 5.03 Bn | 2.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 572.00 Mn |
| Jun 30, 2026 | 876.00 Mn |
| Mar 31, 2026 | 406.00 Mn |
| Dec 31, 2025 | 515.00 Mn |
| Sep 30, 2025 | 467.00 Mn |
| Jun 30, 2025 | 430.00 Mn |
| Mar 31, 2025 | 391.00 Mn |
| Dec 31, 2024 | 461.00 Mn |
| Sep 30, 2024 | 473.00 Mn |
| Jun 30, 2024 | 516.00 Mn |
| Mar 31, 2024 | 388.00 Mn |
| Dec 31, 2023 | 352.00 Mn |
| Sep 30, 2023 | 311.89 Mn |
| Jun 30, 2023 | 271.95 Mn |
| Mar 31, 2023 | 247.10 Mn |
| Dec 31, 2022 | 299.00 Mn |
| Sep 30, 2022 | 248.79 Mn |
| Jun 30, 2022 | 241.32 Mn |
| Mar 31, 2022 | 249.62 Mn |
| Dec 31, 2021 | 304.29 Mn |
Coupang Accumulated Expenses 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=accumulated-expenses&ticker=CPNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CPNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();