Vaxart (VXRT) Exchange Rate Effect (2012 - 2015)
Vaxart's Exchange Rate Effect came in at -$200,000 for Q4 2015, compared with $900,000 a year earlier.
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Analysis
Vaxart (VXRT) Exchange Rate Effect (2012 - 2015) Analysis & Trends
For FY2015, Vaxart's Exchange Rate Effect was -$7.9 million.
- Going back by year, Exchange Rate Effect was $1.5 million in FY2014, -$4.8 million in FY2013, -$2.8 million in FY2012 and -$2.79 million in FY2011.
- The five-year range for quarterly Exchange Rate Effect is -$5.5 million (Q4 2013) to $2.1 million (Q2 2013).
- Business Quant data shows VXRT's Exchange Rate Effect at -$3.3 million (Q3 2015), -$1.9 million (Q2 2015) and -$2.5 million (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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 56.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 10.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | -6.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | -46.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -7.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -4.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.00 Mn |
| 10 | Vaxart | 87.73 Mn | 22.23 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | -200,000.00 |
| Mar 31, 2015 | -3.30 Mn |
| Dec 31, 2014 | -1.90 Mn |
| Sep 30, 2014 | -2.50 Mn |
| Jun 30, 2014 | 900,000.00 |
| Mar 31, 2014 | 1.30 Mn |
| Dec 31, 2013 | -1.00 Mn |
| Sep 30, 2013 | 300,000.00 |
| Jun 30, 2013 | -5.50 Mn |
| Mar 31, 2013 | -100,000.00 |
| Dec 31, 2012 | 2.10 Mn |
| Sep 30, 2012 | -1.30 Mn |
API Access
Vaxart 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=VXRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VXRT", "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=VXRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();