Hongchang International (HCIL) Sales of Property, Plant and Equipment (2013 - 2016)
Hongchang International's Sales of Property, Plant and Equipment came in at $16,901 for fiscal Q4 2016 (quarter ended Dec 31, 2016), up 311.7% from the prior quarter.
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Analysis
Hongchang International (HCIL) Sales of Property, Plant and Equipment (2013 - 2016) Analysis & Trends
For FY2016 (ended Dec 31, 2016), Hongchang International's Sales of Property, Plant and Equipment was $179,105.
- Sales of Property, Plant and Equipment carries a three-year compound annual growth rate of -54.5% (FY2013 to FY2016).
- Going back by fiscal year, Sales of Property, Plant and Equipment was $1.9 million in FY2013.
- The fiscal Q4 2016 figure represents the highest quarterly Sales of Property, Plant and Equipment since fiscal Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 3.00 Mn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 300,000.00 |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.65 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | - |
| 10 | Hongchang International | 25.94 Mn | 26.22 Mn | 718,842.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 16,901.00 |
| Sep 30, 2016 | 4,105.00 |
| Dec 31, 2013 | 51,894.00 |
| Sep 30, 2013 | 1.34 Mn |
API Access
Hongchang International Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=HCIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();