National Beverage (FIZZ) Interest Expenses (2010 - 2020)
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Analysis
National Beverage (FIZZ) Interest Expenses (2010 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 415.05 Bn | 401.36 Bn | 8.45 Bn | 354.00 Mn |
| 2 | Coca Cola Femsa Sab De Cv | 195.63 Bn | 195.63 Bn | 2.15 Bn | 143.00 Mn |
| 3 | Pepsico | 194.97 Bn | 152.73 Bn | 13.75 Bn | 242.00 Mn |
| 4 | Monster Beverage | 95.69 Bn | 83.94 Bn | 1.42 Bn | - |
| 5 | Diageo | 54.44 Bn | 34.51 Bn | - | - |
| 6 | Coca-Cola Europacific Partners | 53.15 Bn | 45.82 Bn | - | - |
| 7 | Keurig Dr Pepper | 50.27 Bn | 46.32 Bn | 3.07 Bn | - |
| 8 | Ambev | 43.18 Bn | 27.99 Bn | 2.14 Bn | -193.08 Mn |
| 9 | Constellation Brands | 25.00 Bn | 24.55 Bn | 1.39 Bn | - |
| 10 | National Beverage | 3.53 Bn | 2.49 Bn | 115.79 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 25, 2020 | 51,000.00 |
| Oct 26, 2019 | 50,000.00 |
| Jul 27, 2019 | 50,000.00 |
| Apr 27, 2019 | 51,000.00 |
| Jan 26, 2019 | 51,000.00 |
| Oct 27, 2018 | 51,000.00 |
| Jul 28, 2018 | 50,000.00 |
| Apr 28, 2018 | 50,000.00 |
| Jan 27, 2018 | 50,000.00 |
| Oct 28, 2017 | 51,000.00 |
| Jul 29, 2017 | 50,000.00 |
| Apr 29, 2017 | 50,000.00 |
| Jan 28, 2017 | 51,000.00 |
| Oct 29, 2016 | 50,000.00 |
| Jul 30, 2016 | 38,000.00 |
| Apr 30, 2016 | 50,000.00 |
| Jan 30, 2016 | 40,000.00 |
| Oct 31, 2015 | 62,000.00 |
| Aug 1, 2015 | 51,000.00 |
| May 2, 2015 | 60,000.00 |
API Access
National Beverage Interest 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=interest-expenses&ticker=FIZZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "FIZZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();