Hongchang International (HCIL) EPS (Diluted) (2010 - 2025)
Hongchang International (HCIL) recorded EPS (Diluted) of $0.00 in FY2025 (year ended Dec 31, 2025), compared with $0.00 in FY2024.
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Analysis
Hongchang International (HCIL) EPS (Diluted) (2010 - 2025) Analysis & Trends
Starting with FY2010, Hongchang International's EPS (Diluted) history includes 15 fiscal years.
- The FY2025 figure is the highest annual EPS (Diluted) in data going back to FY2010.
- Per Business Quant data, HCIL's EPS (Diluted) was $0.00 in FY2024, $0.00 in FY2023, $0.00 in FY2022 and $0.00 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.20 |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 1.78 |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -4.60 |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 0.74 |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 3.03 |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 0.56 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 0.11 |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 0.20 |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2023 | 0.00 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 0.00 |
| Mar 31, 2022 | 0.00 |
| Dec 31, 2021 | 0.00 |
| Sep 30, 2021 | 0.00 |
| Jun 30, 2021 | 0.00 |
| Mar 31, 2021 | -0.01 |
| Dec 31, 2020 | -0.06 |
API Access
Hongchang International 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=HCIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "HCIL", "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=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();