Celldex Therapeutics (CLDX) Exchange Rate Effect (2010 - 2015)
Celldex Therapeutics (CLDX) recorded Exchange Rate Effect of $15,000 in FY2015, compared with -$5,000 in FY2014.
Analysis
Celldex Therapeutics (CLDX) Exchange Rate Effect (2010 - 2015) Analysis & Trends
Starting with FY2009, Celldex Therapeutics' Exchange Rate Effect history includes 7 years.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of 49.6% (FY2010 to FY2015).
- The FY2015 figure is the highest annual Exchange Rate Effect in data going back to FY2009.
- Per Business Quant data, CLDX's Exchange Rate Effect was -$5,000 in FY2014, -$3,000 in FY2013, $2,000 in FY2012 and -$9,000 in FY2011.
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 | Celldex Therapeutics | 2.47 Bn | 2.47 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 15,000.00 |
| Dec 31, 2014 | -1,000.00 |
| Sep 30, 2014 | -3,000.00 |
| Jun 30, 2014 | -2,000.00 |
| Mar 31, 2014 | 1,000.00 |
| Jun 30, 2013 | -1,000.00 |
| Mar 31, 2013 | -2,000.00 |
| Sep 30, 2012 | 1,000.00 |
| Jun 30, 2012 | -1,000.00 |
| Mar 31, 2012 | 2,000.00 |
| Dec 31, 2011 | -1,000.00 |
| Sep 30, 2011 | -3,000.00 |
| Jun 30, 2011 | -1,000.00 |
| Mar 31, 2011 | -4,000.00 |
| Dec 31, 2010 | 1,000.00 |
API Access
Celldex Therapeutics 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=CLDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CLDX", "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=CLDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();