Boston Beer (SAM) Short term Debt (2012 - 2019)
Boston Beer (SAM) recorded Short term Debt of $37.5 million in Q2 2019.
Analysis
Boston Beer (SAM) Short term Debt (2012 - 2019) Analysis & Trends
At the end of FY2016, Boston Beer reported Short term Debt of $60,000, up 3.4% from FY2015.
- Annual Short term Debt has increased for three straight years, though with a four-year compound annual growth rate of -0.8% (FY2012 to FY2016).
- Across earlier years, Short term Debt came in at $58,000 in FY2015 (+5.5%), $55,000 in FY2014 (+3.8%), $53,000 in FY2013 (-14.5%) and $62,000 in FY2012.
- The Q2 2019 figure is the highest quarterly Short term Debt in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn |
| 10 | Boston Beer | 1.72 Bn | 813.09 Mn | 286.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2019 | 37.50 Mn |
| Dec 31, 2016 | 60,000.00 |
| Sep 24, 2016 | 60,000.00 |
| Jun 25, 2016 | 60,000.00 |
| Mar 26, 2016 | 60,000.00 |
| Dec 26, 2015 | 58,000.00 |
| Mar 28, 2015 | 58,000.00 |
| Dec 27, 2014 | 55,000.00 |
| Sep 27, 2014 | 55,000.00 |
| Jun 28, 2014 | 55,000.00 |
| Mar 29, 2014 | 55,000.00 |
| Dec 28, 2013 | 53,000.00 |
| Sep 28, 2013 | 53,000.00 |
| Jun 29, 2013 | 53,000.00 |
| Mar 30, 2013 | 53,000.00 |
| Dec 29, 2012 | 62,000.00 |
API Access
Boston Beer Short term Debt 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=short-term-debt&ticker=SAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=SAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();