Hongchang International (HCIL) Assets (2010 - 2025)
Hongchang International's Assets came in at $65.88 million for fiscal Q4 2025 (quarter ended Dec 31, 2025), up 14.7% from $57.45 million a year earlier and up 6.7% from the prior quarter.
Hongchang International (HCIL) Assets (2010 - 2025) Analysis & Trends
Going back to fiscal Q4 2010, Hongchang International's Assets data covers 45 quarters.
- Assets has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 220.7% (FY2020 to FY2025).
- Going back by fiscal year, Assets was $57.45 million in FY2024 (+14.4%), $50.22 million in FY2023 (+60.8%), $31.24 million in FY2022 and $93,549 in FY2021 (-51.9%).
- The fiscal Q4 2025 figure represents the highest quarterly Assets in data going back to fiscal Q4 2010.
- Year-over-year, Assets increased in five of the last six quarters, with growth averaging 12.7%.
- The fastest year-over-year change in Assets over five years came in fiscal Q2 2023 (growth of 336.2%), and the weakest in fiscal Q3 2022 (a decline of 80.7%).
- Business Quant data shows HCIL's Assets at $61.74 million (Q3 2025), $58.94 million (Q2 2025) and $59.54 million (Q1 2025) in the three fiscal quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 89.42 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 71.25 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 13.97 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 73.07 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 30.27 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 16.48 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 16.20 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 13.29 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.74 Bn |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 | 65.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 65.88 Mn |
| Sep 30, 2025 | 61.74 Mn |
| Jun 30, 2025 | 58.94 Mn |
| Mar 31, 2025 | 59.54 Mn |
| Dec 31, 2024 | 57.45 Mn |
| Sep 30, 2024 | 62.11 Mn |
| Jun 30, 2024 | 56.22 Mn |
| Mar 31, 2024 | 53.45 Mn |
| Dec 31, 2023 | 50.22 Mn |
| Sep 30, 2023 | 47.28 Mn |
| Jun 30, 2023 | 223,639.00 |
| Mar 31, 2023 | 262,658.00 |
| Dec 31, 2022 | 31.24 Mn |
| Sep 30, 2022 | 28,759.00 |
| Jun 30, 2022 | 51,266.00 |
| Mar 31, 2022 | 69,175.00 |
| Dec 31, 2021 | 93,549.00 |
| Sep 30, 2021 | 148,833.00 |
| Jun 30, 2021 | 174,714.00 |
| Mar 31, 2021 | 183,124.00 |
Hongchang International Assets 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=assets&ticker=HCIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();