Xenetic Biosciences (XBIO) Exchange Rate Effect (2014 - 2015)
Xenetic Biosciences' Exchange Rate Effect came in at $2.00 for Q4 2015, down 100.0% from $348,892 a year earlier but up 100.0% from the prior quarter.
Analysis
Xenetic Biosciences (XBIO) Exchange Rate Effect (2014 - 2015) Analysis & Trends
For FY2015, Xenetic Biosciences' Exchange Rate Effect was -$80,665.
- Going back by year, Exchange Rate Effect was $587,336 in FY2014, -$102,818 in FY2013 and $677,882 in FY2012.
- The five-year range for quarterly Exchange Rate Effect is -$539,886 (Q2 2015) to $459,218 (Q1 2015).
- Business Quant data shows XBIO's Exchange Rate Effect at $1.00 (Q3 2015), -$539,886 (Q2 2015) and $459,218 (Q1 2015) in the three quarters before Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Xenetic Biosciences | 5.46 Mn | -20.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 2.00 |
| Sep 30, 2015 | 1.00 |
| Jun 30, 2015 | -539,886.00 |
| Mar 31, 2015 | 459,218.00 |
| Dec 31, 2014 | 348,892.00 |
| Sep 30, 2014 | 196,058.00 |
| Jun 30, 2014 | -9,465.00 |
| Mar 31, 2014 | 51,851.00 |
API Access
Xenetic Biosciences Exchange Rate Effect 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=exchange-rate-effect&ticker=XBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();