Qiagen (QGEN) Pension (2009 - 2010)
Qiagen (QGEN) recorded Pension of $2.4 million in Q4 2010, up 14.3% from $2.1 million a year earlier.
Analysis
Qiagen (QGEN) Pension (2009 - 2010) Analysis & Trends
- Across earlier years, Pension came in at $2.1 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn |
| 10 | Qiagen | 10.94 Bn | 6.71 Bn | 340.39 Mn |
API Access
Qiagen Pension 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=pension&ticker=QGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "QGEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=pension&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();