Hongchang International (HCIL) Asset Utilization Ratio (2011 - 2025)
Hongchang International's Asset Utilization Ratio came in at 0.18 for FY2025 (year ended Dec 31, 2025), up 245.0% from 0.05 in FY2024.
Analysis
Hongchang International (HCIL) Asset Utilization Ratio (2011 - 2025) Analysis & Trends
Going back to FY2011, Hongchang International's Asset Utilization Ratio data covers 11 fiscal years.
- The FY2025 figure represents the highest annual Asset Utilization Ratio since FY2021.
- Per Business Quant, earlier fiscal years put Asset Utilization Ratio at 0.05 in FY2024 (-18.9%), 0.07 in FY2023, 0.01 in FY2022 (-99.2%) and 0.67 in FY2021 (+57.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 0.75 |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 0.56 |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 0.87 |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 0.32 |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 0.61 |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 0.45 |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 0.56 |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 0.91 |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.71 |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 | 0.18 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.18 |
| Sep 30, 2025 | 0.14 |
| Jun 30, 2025 | 0.11 |
| Dec 31, 2024 | 0.05 |
| Sep 30, 2024 | 0.09 |
| Jun 30, 2024 | 0.08 |
| Mar 31, 2024 | 0.05 |
| Dec 31, 2023 | 0.06 |
| Sep 30, 2023 | 0.01 |
| Jun 30, 2023 | 0.34 |
| Mar 31, 2023 | 0.01 |
| Dec 31, 2022 | 0.01 |
| Sep 30, 2022 | 1.18 |
| Jun 30, 2022 | 1.20 |
| Mar 31, 2022 | 1.37 |
| Dec 31, 2021 | 2.20 |
| Sep 30, 2021 | 1.64 |
| Jun 30, 2021 | 1.54 |
| Dec 31, 2020 | 0.47 |
| Sep 30, 2020 | 0.23 |
API Access
Hongchang International Asset Utilization Ratio 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=asset-utilization-ratio&ticker=HCIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();