Hongchang International (HCIL) Total Current Liabilities (2010 - 2025)
Hongchang International (HCIL) posted Total Current Liabilities of $9.68 million for fiscal Q4 2025 (quarter ended Dec 31, 2025), up 44.7% from $6.69 million a year earlier and up 42.4% from the prior quarter.
Hongchang International (HCIL) Total Current Liabilities (2010 - 2025) Analysis & Trends
Since fiscal Q4 2010, Hongchang International has reported Total Current Liabilities for 49 quarters.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 40.6% (FY2020 to FY2025).
- In prior fiscal years, Hongchang International's Total Current Liabilities was $6.69 million in FY2024 (+534.2%), $1.06 million in FY2023 (-95.8%), $25.26 million in FY2022 and $1.9 million in FY2021 (+8.0%).
- The fiscal Q4 2025 figure stands as the highest quarterly Total Current Liabilities since fiscal Q4 2022.
- On a year-over-year basis, Total Current Liabilities increased in three of the last six quarters, with growth averaging 131.6%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q4 2024, with growth of 534.2%; the weakest was fiscal Q4 2023, with a decline of 95.8%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $6.8 million (Q3 2025), $4.79 million (Q2 2025) and $6.45 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 6.94 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 2.29 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 3.57 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 | 9.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.68 Mn |
| Sep 30, 2025 | 6.80 Mn |
| Jun 30, 2025 | 4.79 Mn |
| Mar 31, 2025 | 6.45 Mn |
| Dec 31, 2024 | 6.69 Mn |
| Sep 30, 2024 | 542,440.00 |
| Jun 30, 2024 | 866,454.00 |
| Mar 31, 2024 | 347,316.00 |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 8.02 Mn |
| Jun 30, 2023 | 2.37 Mn |
| Mar 31, 2023 | 2.28 Mn |
| Dec 31, 2022 | 25.26 Mn |
| Sep 30, 2022 | 1.84 Mn |
| Jun 30, 2022 | 1.94 Mn |
| Mar 31, 2022 | 1.93 Mn |
| Dec 31, 2021 | 1.90 Mn |
| Sep 30, 2021 | 1.92 Mn |
| Jun 30, 2021 | 1.89 Mn |
| Mar 31, 2021 | 1.83 Mn |
Hongchang International Total Current 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-current-liabilities&ticker=HCIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();