Coupang (CPNG) EPS (Diluted) (2020 - 2026)
Coupang's EPS (Diluted) came in at -$0.32 for Q2 2026, compared with $0.02 a year earlier.
Powered by 
Analysis
Coupang (CPNG) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Coupang reported EPS (Diluted) of -$0.43; for FY2025, it came in at $0.11, up 33.0% from FY2024.
- Going back by year, EPS (Diluted) was $0.08 in FY2024 (-88.8%), $0.75 in FY2023, -$0.05 in FY2022 and -$1.08 in FY2021.
- The Q2 2026 figure represents the lowest quarterly EPS (Diluted) since Q1 2021.
- Business Quant data shows CPNG's EPS (Diluted) at -$0.15 (Q1 2026), -$0.01 (Q4 2025) and $0.05 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 2.66 |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 0.86 |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 0.42 |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 4.11 |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 38.07 |
| 10 | Coupang | 28.37 Bn | 2.41 Bn | 2.49 Bn | -0.32 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.32 |
| Mar 31, 2026 | -0.15 |
| Dec 31, 2025 | -0.01 |
| Sep 30, 2025 | 0.05 |
| Jun 30, 2025 | 0.02 |
| Mar 31, 2025 | 0.06 |
| Dec 31, 2024 | 0.09 |
| Sep 30, 2024 | 0.04 |
| Jun 30, 2024 | -0.04 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.57 |
| Sep 30, 2023 | 0.05 |
| Jun 30, 2023 | 0.08 |
| Mar 31, 2023 | 0.05 |
| Dec 31, 2022 | 0.06 |
| Sep 30, 2022 | 0.05 |
| Jun 30, 2022 | -0.04 |
| Mar 31, 2022 | -0.12 |
| Dec 31, 2021 | -0.28 |
| Sep 30, 2021 | -0.19 |
API Access
Coupang EPS (Diluted) 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=eps-diluted&ticker=CPNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CPNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();