Sempreon (CASK) Land & Improvements (2009 - 2020)
Sempreon's Land & Improvements came in at $114.37 million for Q4 2020, up 8.7% from $105.26 million a year earlier.
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Analysis
Sempreon (CASK) Land & Improvements (2009 - 2020) Analysis & Trends
Going back to Q4 2011, Sempreon's Land & Improvements data covers 10 quarters.
- Land & Improvements has increased in each of the last eight years, with a five-year compound annual growth rate of 15.3% (FY2015 to FY2020).
- Going back by year, Land & Improvements was $105.26 million in FY2019 (+15.7%), $90.99 million in FY2018 (+26.0%), $72.22 million in FY2017 (+7.0%) and $67.49 million in FY2016 (+20.2%).
- The Q4 2020 figure represents the highest quarterly Land & Improvements in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 426.96 Bn | 415.44 Bn | 8.45 Bn | - |
| 2 | Diageo | 247.11 Bn | 229.26 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 202.87 Bn | 202.87 Bn | 37.08 Bn | - |
| 4 | Pepsico | 198.20 Bn | 156.16 Bn | 13.75 Bn | - |
| 5 | Anheuser-Busch InBev | 152.44 Bn | 152.44 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 90.94 Bn | 88.18 Bn | 1.40 Bn | - |
| 7 | Coca-Cola Europacific Partners | 53.25 Bn | 46.47 Bn | - | - |
| 8 | Keurig Dr Pepper | 49.46 Bn | 48.93 Bn | 3.53 Bn | - |
| 9 | Ambev | 43.50 Bn | 28.41 Bn | 2.14 Bn | - |
| 10 | Sempreon | 363.48 Mn | 303.27 Mn | 40.46 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 114.37 Mn |
| Dec 31, 2019 | 105.26 Mn |
| Dec 31, 2018 | 90.99 Mn |
| Dec 31, 2017 | 72.22 Mn |
| Dec 31, 2016 | 67.49 Mn |
| Dec 31, 2015 | 56.14 Mn |
| Dec 31, 2014 | 43.44 Mn |
| Dec 31, 2013 | 40.68 Mn |
| Dec 31, 2012 | 39.51 Mn |
| Dec 31, 2011 | 40.07 Mn |
| Jun 30, 2009 | 35.56 Mn |
API Access
Sempreon Land & Improvements 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=land-and-improvements&ticker=CASK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "CASK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=CASK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();