Yubo International Biotech (YBGJ) Selling, General & Administrative (2009 - 2020)
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Analysis
Yubo International Biotech (YBGJ) Selling, General & Administrative (2009 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 2.37 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.57 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 290.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Yubo International Biotech | 1.20 Mn | 1.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2020 | 21,000.00 |
| May 31, 2020 | 7,000.00 |
| Nov 30, 2019 | 8,000.00 |
| Aug 31, 2019 | 8,000.00 |
| May 31, 2019 | 8,000.00 |
| Feb 28, 2019 | 8,000.00 |
| Nov 30, 2018 | 7,000.00 |
| Aug 31, 2018 | 12,000.00 |
| May 31, 2018 | 21,000.00 |
| Feb 28, 2018 | -8,000.00 |
| Nov 30, 2017 | 22,000.00 |
| Aug 31, 2017 | 22,000.00 |
| May 31, 2017 | 23,000.00 |
| Feb 28, 2017 | 96,000.00 |
| Nov 30, 2016 | 24,000.00 |
| Aug 31, 2016 | 14,000.00 |
| May 31, 2016 | 16,000.00 |
| Feb 29, 2016 | 13,000.00 |
| Nov 30, 2015 | 14,000.00 |
| Aug 31, 2015 | 21,000.00 |
API Access
Yubo International Biotech Selling, General & Administrative 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=selling-general-and-administrative&ticker=YBGJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "YBGJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=YBGJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();