Hong Yuan Holding (HGYN) Research & Development (2009 - 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 (2009 - 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 | 1,016.23 Bn | 978.93 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 490.35 Bn | 413.63 Bn | 12.19 Bn | - |
| 3 | Kroger | 41.83 Bn | 27.99 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.95 Bn | 29.87 Bn | 4.05 Bn | - |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 25.91 Bn | 22.54 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 23.28 Bn | 23.08 Bn | 1.90 Bn | - |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn | - |
| 10 | Hong Yuan Holding | 2.24 Mn | 2.27 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 |
| Mar 31, 2010 | 77,000.00 |
| Dec 31, 2009 | 55,028.00 |
| Sep 30, 2009 | 54,183.00 |
| Jun 30, 2009 | 62,579.00 |
| Mar 31, 2009 | 141,210.00 |
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();