Alcon (ALC) Pension (2009 - 2010)
Alcon's Pension was $543 million in Q4 2010, up 28.4% from $423 million a year earlier.
Analysis
Alcon (ALC) Pension (2009 - 2010) Analysis & Trends
- In earlier years, Pension was $423 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.19 Bn | 232.22 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.78 Bn | 148.21 Bn | 7.27 Bn |
| 3 | Danaher | 164.28 Bn | 148.09 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.73 Bn | 135.16 Bn | 1.96 Bn |
| 5 | Medtronic | 122.75 Bn | 88.00 Bn | 6.34 Bn |
| 6 | Stryker | 118.23 Bn | 104.35 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.03 Bn | 61.80 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.59 Bn | 51.74 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.62 Bn | 35.62 Bn | 1.35 Bn |
| 10 | Alcon | 34.75 Bn | 25.72 Bn | 1.68 Bn |
API Access
Alcon 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=ALC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "ALC", "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=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();