Hong Yuan Holding (HGYN) Research & Development (2010 - 2013)
Hong Yuan Holding's Research & Development was $75,000 in Q3 2020, down 34.2% from the prior quarter.
Hong Yuan Holding (HGYN) Research & Development (2010 - 2013) Analysis & Trends
On a trailing twelve-month basis, Hong Yuan Holding's Research & Development was $395,000 through Sep 30, 2013; for FY2012, it came in at $471,000, down 55.1% from FY2011.
- In earlier years, Research & Development was $1.05 million in FY2011 (+124.9%) and $466,000 in FY2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | - |
| 10 | Hong Yuan Holding | 2.99 Mn | 3.02 Mn | 21,466.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 75,000.00 |
| Jun 30, 2013 | 114,000.00 |
| Mar 31, 2013 | 106,000.00 |
| Dec 31, 2012 | 100,000.00 |
| Sep 30, 2012 | 115,000.00 |
| Jun 30, 2012 | 126,000.00 |
| Mar 31, 2012 | 129,000.00 |
| Dec 31, 2011 | 259,000.00 |
| Sep 30, 2011 | 280,000.00 |
| Jun 30, 2011 | 259,000.00 |
| Mar 31, 2011 | 250,000.00 |
| Dec 31, 2010 | 164,000.00 |
| Sep 30, 2010 | 106,000.00 |
| Jun 30, 2010 | 119,000.00 |
Hong Yuan Holding Research & Development 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=research-and-development&ticker=HGYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "HGYN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=HGYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();