Molson Coors Beverage (TAP-A) Long-Term Investments (2009 - 2016)
Analysis
Molson Coors Beverage (TAP-A) Long-Term Investments (2009 - 2016) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 2.64 Bn |
| Jun 30, 2016 | 2.56 Bn |
| Mar 31, 2016 | 2.58 Bn |
| Dec 31, 2015 | 2.44 Bn |
| Sep 30, 2015 | 2.44 Bn |
| Jun 30, 2015 | 2.45 Bn |
| Mar 31, 2015 | 2.50 Bn |
| Dec 31, 2014 | 2.39 Bn |
| Sep 30, 2014 | 2.58 Bn |
| Jun 30, 2014 | 2.60 Bn |
| Mar 31, 2014 | 2.61 Bn |
| Dec 31, 2013 | 2.51 Bn |
| Sep 28, 2013 | 2.54 Bn |
| Jun 29, 2013 | 2.52 Bn |
| Mar 30, 2013 | 2.53 Bn |
| Dec 29, 2012 | 2.43 Bn |
| Sep 29, 2012 | 2.63 Bn |
| Jun 30, 2012 | 2.61 Bn |
| Mar 31, 2012 | 2.61 Bn |
| Dec 31, 2011 | 2.49 Bn |
API Access
Molson Coors Beverage Long-Term Investments 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=long-term-investments&ticker=TAP-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "TAP-A", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=TAP-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();