Hongchang International (HCIL) Total Non-Current Liabilities (2010 - 2025)
Hongchang International's Total Non-Current Liabilities came in at $12.5 million for fiscal Q4 2025 (quarter ended Dec 31, 2025), up 4.3% from $11.99 million a year earlier and up 1.3% from the prior quarter.
Hongchang International (HCIL) Total Non-Current Liabilities (2010 - 2025) Analysis & Trends
Going back to fiscal Q4 2010, Hongchang International's Total Non-Current Liabilities data covers 29 quarters.
- Total Non-Current Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 194.3% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $11.99 million in FY2024 (+38.2%), $8.67 million in FY2023 (+35.6%) and $6.4 million in FY2022.
- The fiscal Q4 2025 figure represents the highest quarterly Total Non-Current Liabilities since fiscal Q3 2024.
- Year-over-year, Total Non-Current Liabilities increased in two of the last five quarters, with an average decline of 6.9%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2024 (growth of 38.2%), and the weakest in fiscal Q2 2021 (a decline of 88.9%).
- Business Quant data shows HCIL's Total Non-Current Liabilities at $12.34 million (Q3 2025), $12.04 million (Q2 2025) and $12.01 million (Q1 2025) in the three fiscal quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.50 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 | 12.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.50 Mn |
| Sep 30, 2025 | 12.34 Mn |
| Jun 30, 2025 | 12.04 Mn |
| Mar 31, 2025 | 12.01 Mn |
| Dec 31, 2024 | 11.99 Mn |
| Sep 30, 2024 | 20.86 Mn |
| Jun 30, 2024 | 16.05 Mn |
| Mar 31, 2024 | 13.53 Mn |
| Dec 31, 2023 | 8.67 Mn |
| Jun 30, 2023 | 92,641.00 |
| Mar 31, 2023 | 112,215.00 |
| Dec 31, 2022 | 6.40 Mn |
| Jun 30, 2021 | 14,302.00 |
| Mar 31, 2021 | 35,216.00 |
| Dec 31, 2020 | 56,570.00 |
| Sep 30, 2020 | 74,655.00 |
| Jun 30, 2020 | 128,397.00 |
| Mar 31, 2020 | 146,088.00 |
| Dec 31, 2019 | 172,610.00 |
| Sep 30, 2019 | 143,325.00 |
Hongchang International Total Non-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-non-current-liabilities&ticker=HCIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();