Boston Beer (SAM) Buildings (2010 - 2025)
Boston Beer's Buildings came in at $276.48 million for Q4 2025, up 7.7% from $256.83 million a year earlier.
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Analysis
Boston Beer (SAM) Buildings (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Boston Beer's Buildings data covers 16 quarters.
- Buildings has increased in each of the last 14 years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Going back by year, Buildings was $256.83 million in FY2024 (+3.8%), $247.38 million in FY2023 (+4.1%), $237.56 million in FY2022 (+14.5%) and $207.57 million in FY2021 (+19.1%).
- The Q4 2025 figure represents the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 399.08 Bn | 385.55 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.07 Bn | 198.07 Bn | 2.06 Bn |
| 3 | Pepsico | 183.70 Bn | 141.47 Bn | 13.75 Bn |
| 4 | Monster Beverage | 91.30 Bn | 79.55 Bn | 1.42 Bn |
| 5 | Diageo | 51.63 Bn | 31.70 Bn | - |
| 6 | Ambev | 51.46 Bn | 36.75 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.42 Bn | 43.09 Bn | - |
| 8 | Keurig Dr Pepper | 46.94 Bn | 42.98 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.50 Bn | 22.05 Bn | 1.39 Bn |
| 10 | Boston Beer | 1.89 Bn | 990.81 Mn | 286.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 276.48 Mn |
| Dec 28, 2024 | 256.83 Mn |
| Dec 30, 2023 | 247.38 Mn |
| Dec 31, 2022 | 237.56 Mn |
| Dec 25, 2021 | 207.57 Mn |
| Dec 26, 2020 | 174.33 Mn |
| Dec 28, 2019 | 130.31 Mn |
| Dec 29, 2018 | 115.75 Mn |
| Dec 30, 2017 | 112.91 Mn |
| Dec 31, 2016 | 112.51 Mn |
| Dec 26, 2015 | 101.84 Mn |
| Dec 27, 2014 | 77.13 Mn |
| Dec 28, 2013 | 44.23 Mn |
| Dec 29, 2012 | 36.67 Mn |
| Dec 31, 2011 | 25.22 Mn |
| Dec 25, 2010 | 25.65 Mn |
API Access
Boston Beer Buildings 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=buildings&ticker=SAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "SAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=SAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();