Hongchang International (HCIL) Accumulated Expenses (2010 - 2025)
Hongchang International's Accumulated Expenses came in at $929,979 for fiscal Q4 2025 (quarter ended Dec 31, 2025), up 502.3% from $154,416 a year earlier and up 44.6% from the prior quarter.
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Analysis
Hongchang International (HCIL) Accumulated Expenses (2010 - 2025) Analysis & Trends
Going back to fiscal Q4 2010, Hongchang International's Accumulated Expenses data covers 38 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $154,416 in FY2024 (-60.0%), $385,805 in FY2023, $3,553 in FY2022 (-98.7%) and $283,874 in FY2021 (-3.5%).
- The fiscal Q4 2025 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
- Year-over-year, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 182.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2025 (growth of 502.3%), and the weakest in fiscal Q4 2022 (a decline of 98.7%).
- Business Quant data shows HCIL's Accumulated Expenses at $643,311 (Q3 2025), $461,988 (Q2 2025) and $841,789 (Q1 2025) in the three fiscal quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 929,979.00 |
| Sep 30, 2025 | 643,311.00 |
| Jun 30, 2025 | 461,988.00 |
| Mar 31, 2025 | 841,789.00 |
| Dec 31, 2024 | 154,416.00 |
| Sep 30, 2024 | 119,791.00 |
| Jun 30, 2024 | 119,429.00 |
| Mar 31, 2024 | 317,140.00 |
| Dec 31, 2023 | 385,805.00 |
| Sep 30, 2023 | 75,540.00 |
| Jun 30, 2023 | 126,163.00 |
| Mar 31, 2023 | 183,367.00 |
| Dec 31, 2022 | 3,553.00 |
| Sep 30, 2022 | 327,422.00 |
| Jun 30, 2022 | 383,523.00 |
| Mar 31, 2022 | 299,913.00 |
| Dec 31, 2021 | 283,874.00 |
| Sep 30, 2021 | 327,560.00 |
| Jun 30, 2021 | 315,670.00 |
| Mar 31, 2021 | 309,759.00 |
API Access
Hongchang International Accumulated Expenses 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=accumulated-expenses&ticker=HCIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();