Hongchang International (HCIL) Shares Outstanding (Diluted) (2010 - 2025)
Hongchang International (HCIL) posted Shares Outstanding (Diluted) of 518.83 million for fiscal Q4 2025 (quarter ended Dec 31, 2025), unchanged from 518.83 million a year earlier and unchanged from the prior quarter.
Hongchang International (HCIL) Shares Outstanding (Diluted) (2010 - 2025) Analysis & Trends
Since fiscal Q2 2010, Hongchang International has reported Shares Outstanding (Diluted) for 57 quarters.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 127.0% (FY2020 to FY2025).
- In prior fiscal years, Hongchang International's Shares Outstanding (Diluted) was 518.83 million in FY2024 (+15.2%), 450.23 million in FY2023 (+630.0%), 61.67 million in FY2022 (-94.0%) and 1.03 billion in FY2021.
- Quarterly Shares Outstanding (Diluted) has run from a low of 8.6 million in fiscal Q1 2021 to a high of 1.03 billion in fiscal Q1 2022 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 66.1%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q4 2023, with growth of 630.0%; the weakest was fiscal Q4 2022, with a decline of 94.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 518.83 million (Q3 2025), 518.83 million (Q2 2025) and 518.83 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.29 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 257.36 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 269.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 | 518.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 518.83 Mn |
| Sep 30, 2025 | 518.83 Mn |
| Jun 30, 2025 | 518.83 Mn |
| Mar 31, 2025 | 518.83 Mn |
| Dec 31, 2024 | 518.83 Mn |
| Sep 30, 2024 | 518.83 Mn |
| Jun 30, 2024 | 518.83 Mn |
| Mar 31, 2024 | 518.83 Mn |
| Dec 31, 2023 | 450.23 Mn |
| Sep 30, 2023 | 450.00 Mn |
| Jun 30, 2023 | 103.25 Mn |
| Mar 31, 2023 | 265.08 Mn |
| Dec 31, 2022 | 61.67 Mn |
| Sep 30, 2022 | 415.58 Mn |
| Jun 30, 2022 | 103.25 Mn |
| Mar 31, 2022 | 1.03 Bn |
| Dec 31, 2021 | 1.03 Bn |
| Sep 30, 2021 | 1.03 Bn |
| Jun 30, 2021 | 1.03 Bn |
| Mar 31, 2021 | 8.60 Mn |
Hongchang International Shares Outstanding (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=shares-outstanding-diluted&ticker=HCIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();