Xenetic Biosciences (XBIO) Other Operating Expenses (2011 - 2020)
Xenetic Biosciences (XBIO) posted Other Operating Expenses of $9.24 million for FY2020, up 181.5% from $3.28 million in FY2019.
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Analysis
Xenetic Biosciences (XBIO) Other Operating Expenses (2011 - 2020) Analysis & Trends
Since FY2011, Xenetic Biosciences has reported Other Operating Expenses for 5 years.
- The FY2020 figure stands as the highest annual Other Operating Expenses in data going back to FY2011.
- Business Quant data shows XBIO's Other Operating Expenses at $3.28 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Xenetic Biosciences | 5.44 Mn | -20.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 9.24 Mn |
| Sep 30, 2019 | 3.28 Mn |
| Mar 31, 2016 | 26,414.00 |
| Mar 31, 2015 | 459,968.00 |
| Nov 30, 2013 | 60,608.00 |
| Aug 31, 2013 | 30,003.00 |
| May 31, 2013 | 23,636.00 |
| Feb 28, 2013 | 17,523.00 |
| Nov 30, 2012 | 12,000.00 |
| Aug 31, 2012 | 43,265.00 |
| May 31, 2012 | 34,794.00 |
| Feb 29, 2012 | 30,909.00 |
| Nov 30, 2011 | 17,724.00 |
API Access
Xenetic Biosciences Other Operating 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=other-operating-expenses&ticker=XBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "XBIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();