Molson Coors Beverage (TAP) Liabilities from Discontinued Operations (2009 - 2017)
Molson Coors Beverage's Liabilities from Discontinued Operations came in at $12.4 million for Q4 2017, down 1.6% from $12.6 million a year earlier and down 3.9% from the prior quarter.
Molson Coors Beverage (TAP) Liabilities from Discontinued Operations (2009 - 2017) Analysis & Trends
Going back to Q2 2009, Molson Coors Beverage's Liabilities from Discontinued Operations data covers 35 quarters.
- Liabilities from Discontinued Operations carries a five-year compound annual growth rate of -9.1% (FY2012 to FY2017).
- Going back by year, Liabilities from Discontinued Operations was $12.6 million in FY2016 (+22.3%), $10.3 million in FY2015 (-33.5%), $15.5 million in FY2014 (-10.4%) and $17.3 million in FY2013 (-13.5%).
- The five-year range for quarterly Liabilities from Discontinued Operations is $10.3 million (Q4 2015) to $20.3 million (Q1 2013).
- Year-over-year, Liabilities from Discontinued Operations increased in four of the last eight quarters, with growth averaging 5.3%.
- The fastest year-over-year change in Liabilities from Discontinued Operations over five years came in Q4 2016 (growth of 22.3%), and the weakest in Q3 2015 (a decline of 37.7%).
- Business Quant data shows TAP's Liabilities from Discontinued Operations at $12.9 million (Q3 2017), $12.4 million (Q2 2017) and $13.1 million (Q1 2017) in the three quarters before Q4 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn |
| 10 | Molson Coors Beverage | 7.90 Bn | 3.73 Bn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 12.40 Mn |
| Sep 30, 2017 | 12.90 Mn |
| Jun 30, 2017 | 12.40 Mn |
| Mar 31, 2017 | 13.10 Mn |
| Dec 31, 2016 | 12.60 Mn |
| Sep 30, 2016 | 12.60 Mn |
| Jun 30, 2016 | 12.70 Mn |
| Mar 31, 2016 | 11.40 Mn |
| Dec 31, 2015 | 10.30 Mn |
| Sep 30, 2015 | 10.40 Mn |
| Jun 30, 2015 | 13.20 Mn |
| Mar 31, 2015 | 12.80 Mn |
| Dec 31, 2014 | 15.50 Mn |
| Sep 30, 2014 | 16.70 Mn |
| Jun 30, 2014 | 18.50 Mn |
| Mar 31, 2014 | 18.00 Mn |
| Dec 31, 2013 | 17.30 Mn |
| Sep 28, 2013 | 18.10 Mn |
| Jun 29, 2013 | 18.30 Mn |
| Mar 30, 2013 | 20.30 Mn |
Molson Coors Beverage Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=TAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "ticker": "TAP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=liabilities-from-discontinued-operations&ticker=TAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();