National Beverage (FIZZ) Non Operating Interest Expenses (2010 - 2020)
National Beverage's Non Operating Interest Expenses came in at $51,000 for fiscal Q3 2020 (quarter ended Jan 25, 2020), unchanged from $51,000 a year earlier and up 2.0% from the prior quarter.
National Beverage (FIZZ) Non Operating Interest Expenses (2010 - 2020) Analysis & Trends
Over the trailing twelve months to Jan 25, 2020, National Beverage reported Non Operating Interest Expenses of $202,000, unchanged year-over-year; for FY2019 (ended Apr 27, 2019), it came in at $202,000, up 0.5% from FY2018.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -21.1% (FY2014 to FY2019).
- Going back by fiscal year, Non Operating Interest Expenses was $201,000 in FY2018 (+6.3%), $189,000 in FY2017 (-6.9%), $203,000 in FY2016 (-45.3%) and $371,000 in FY2015 (-43.8%).
- The five-year range for quarterly Non Operating Interest Expenses is $38,000 (fiscal Q1 2017) to $62,000 (fiscal Q2 2016).
- Year-over-year, Non Operating Interest Expenses increased in two of the last eight quarters, with growth averaging 0.3%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q1 2018 (growth of 31.6%), and the weakest in fiscal Q1 2016 (a decline of 58.9%).
- Business Quant data shows FIZZ's Non Operating Interest Expenses at $50,000 (Q2 2020), $50,000 (Q1 2020) and $51,000 (Q4 2019) in the three fiscal quarters before Q3 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 396.91 Bn | 383.38 Bn | 8.42 Bn | 369.00 Mn |
| 2 | Coca Cola Femsa Sab De Cv | 195.65 Bn | 195.65 Bn | 2.06 Bn | 130.59 Mn |
| 3 | Pepsico | 177.06 Bn | 134.82 Bn | 13.75 Bn | 242.00 Mn |
| 4 | Monster Beverage | 88.68 Bn | 76.93 Bn | 1.42 Bn | - |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | - |
| 6 | Ambev | 51.15 Bn | 36.44 Bn | 2.06 Bn | -180.13 Mn |
| 7 | Coca-Cola Europacific Partners | 50.04 Bn | 42.71 Bn | - | - |
| 8 | Keurig Dr Pepper | 46.14 Bn | 42.19 Bn | 3.07 Bn | - |
| 9 | Constellation Brands | 22.14 Bn | 21.69 Bn | 1.39 Bn | - |
| 10 | National Beverage | 3.21 Bn | 2.17 Bn | 115.79 Mn | - |
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 |
National Beverage Non Operating 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=non-operating-interest-expenses&ticker=FIZZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();