United Breweries (CCU) Pension (2009 - 2016)
United Breweries' Pension was $22.84 billion in the quarter ended Dec 31, 2016, up 5.2% from $21.71 billion a year earlier.
Powered by 
Analysis
United Breweries (CCU) Pension (2009 - 2016) Analysis & Trends
From the quarter ended Dec 31, 2009 onward, United Breweries has reported Pension for 9 quarters.
- Pension shows a five-year compound annual growth rate of 8.0% (years ended Dec 2011 to Dec 2016).
- In earlier years, Pension was $21.71 billion in the year ended Dec 31, 2015 (+21.0%), $17.94 billion in the year ended Dec 31, 2014 (-11.2%), $20.22 billion in the year ended Dec 31, 2013 (+27.1%) and $15.9 billion in the year ended Dec 31, 2012 (+2.4%).
- The figure for the quarter ended Dec 31, 2016 marks the highest quarterly Pension in data going back to the quarter ended Dec 31, 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn |
| 10 | United Breweries | 2.00 Bn | -1,970.81 Bn | 252.83 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 22.84 Bn |
| Dec 31, 2015 | 21.71 Bn |
| Dec 31, 2014 | 17.94 Bn |
| Dec 31, 2013 | 20.22 Bn |
| Dec 31, 2012 | 15.90 Bn |
| Jun 30, 2012 | 9.82 Bn |
| Dec 31, 2011 | 15.52 Bn |
| Dec 31, 2010 | 14.30 Bn |
| Dec 31, 2009 | 11.68 Bn |
API Access
United Breweries 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=CCU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "CCU", "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=CCU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();