Molson Coors Beverage (TAP-A) Accumulated Expenses (2009 - 2019)
Molson Coors Beverage's Accumulated Expenses came in at $2.77 billion for Q4 2019, up 2.3% from $2.71 billion a year earlier.
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Analysis
Molson Coors Beverage (TAP-A) Accumulated Expenses (2009 - 2019) Analysis & Trends
Going back to Q2 2009, Molson Coors Beverage's Accumulated Expenses data covers 37 quarters.
- Accumulated Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 16.2% (FY2014 to FY2019).
- Going back by year, Accumulated Expenses was $2.71 billion in FY2018 (+0.8%), $2.68 billion in FY2017 (+8.8%), $2.47 billion in FY2016 (+108.4%) and $1.18 billion in FY2015 (-9.2%).
- The Q4 2019 figure represents the highest quarterly Accumulated Expenses in data going back to Q2 2009.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2016 (growth of 108.4%), and the weakest in Q3 2015 (a decline of 12.5%).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 2.77 Bn |
| Dec 31, 2018 | 2.71 Bn |
| Dec 31, 2017 | 2.68 Bn |
| Sep 30, 2017 | 2.51 Bn |
| Jun 30, 2017 | 2.62 Bn |
| Mar 31, 2017 | 2.20 Bn |
| Dec 31, 2016 | 2.47 Bn |
| Sep 30, 2016 | 1.27 Bn |
| Jun 30, 2016 | 1.32 Bn |
| Mar 31, 2016 | 1.15 Bn |
| Dec 31, 2015 | 1.18 Bn |
| Sep 30, 2015 | 1.20 Bn |
| Jun 30, 2015 | 1.33 Bn |
| Mar 31, 2015 | 1.12 Bn |
| Dec 31, 2014 | 1.31 Bn |
| Sep 30, 2014 | 1.37 Bn |
| Jun 30, 2014 | 1.51 Bn |
| Mar 31, 2014 | 1.27 Bn |
| Dec 31, 2013 | 1.43 Bn |
| Sep 28, 2013 | 1.39 Bn |
API Access
Molson Coors Beverage Accumulated Expenses 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=accumulated-expenses&ticker=TAP-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TAP-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();