Hongchang International (HCIL) Total Liabilities (2010 - 2025)
Hongchang International's Total Liabilities was $22.18 million in fiscal Q4 2025 (quarter ended Dec 31, 2025), up 18.7% from $18.68 million a year earlier and up 15.9% from the prior quarter.
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Analysis
Hongchang International (HCIL) Total Liabilities (2010 - 2025) Analysis & Trends
From fiscal Q4 2010 onward, Hongchang International has reported Total Liabilities for 49 quarters.
- Total Liabilities shows a five-year compound annual growth rate of 64.9% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $18.68 million in FY2024 (+92.0%), $9.73 million in FY2023 (-69.3%), $31.66 million in FY2022 and $287,305 in FY2021 (-84.2%).
- The fiscal Q4 2025 figure marks the highest quarterly Total Liabilities since fiscal Q4 2022.
- Compared with a year earlier, Total Liabilities was higher in four of the last six quarters, with growth averaging 50.0%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2024 (growth of 167.5%); the worst was fiscal Q4 2021 (a decline of 84.2%).
- Per Business Quant data, HCIL's Total Liabilities in the three fiscal quarters before Q4 2025 was $19.14 million (Q3 2025), $16.82 million (Q2 2025) and $18.46 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.90 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 | 22.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 22.18 Mn |
| Sep 30, 2025 | 19.14 Mn |
| Jun 30, 2025 | 16.82 Mn |
| Mar 31, 2025 | 18.46 Mn |
| Dec 31, 2024 | 18.68 Mn |
| Sep 30, 2024 | 21.46 Mn |
| Jun 30, 2024 | 16.92 Mn |
| Mar 31, 2024 | 13.87 Mn |
| Dec 31, 2023 | 9.73 Mn |
| Sep 30, 2023 | 8.02 Mn |
| Jun 30, 2023 | -40.38 Mn |
| Mar 31, 2023 | -42.45 Mn |
| Dec 31, 2022 | 31.66 Mn |
| Sep 30, 2022 | 349,284.00 |
| Jun 30, 2022 | 1.94 Mn |
| Mar 31, 2022 | 1.93 Mn |
| Dec 31, 2021 | 287,305.00 |
| Sep 30, 2021 | 1.92 Mn |
| Jun 30, 2021 | 1.90 Mn |
| Mar 31, 2021 | 1.86 Mn |
API Access
Hongchang International Total Liabilities 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=total-liabilities&ticker=HCIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();