National Beverage (FIZZ) Operating Expenses (2010 - 2026)
National Beverage (FIZZ) reported Operating Expenses of $57.31 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 4.8% from $54.69 million a year earlier and up 8.4% from the prior quarter.
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Analysis
National Beverage (FIZZ) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, National Beverage's Operating Expenses came in at $209.77 million, down 0.2% year-over-year; for FY2026 (ended May 2, 2026), it was $207.15 million, down 0.6% from FY2025.
- Operating Expenses has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 1.3% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $208.48 million in FY2025 (-0.7%), $209.94 million in FY2024 (-0.1%), $210.11 million in FY2023 (+0.1%) and $209.95 million in FY2022 (+8.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2022 (growth of 11.8%); the low point was fiscal Q4 2026 (a decline of 5.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $52.87 million (Q4 2026), $48.46 million (Q3 2026) and $51.14 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.50 Bn | 193.50 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 175.26 Bn | 133.02 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | - |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | 538.20 Mn |
| 10 | National Beverage | 3.20 Bn | 2.16 Bn | 115.79 Mn | 57.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 57.31 Mn |
| May 2, 2026 | 52.87 Mn |
| Jan 31, 2026 | 48.46 Mn |
| Nov 1, 2025 | 51.14 Mn |
| Aug 2, 2025 | 54.69 Mn |
| May 3, 2025 | 55.71 Mn |
| Jan 25, 2025 | 48.37 Mn |
| Oct 26, 2024 | 51.48 Mn |
| Jul 27, 2024 | 52.92 Mn |
| Apr 27, 2024 | 56.16 Mn |
| Jan 27, 2024 | 48.85 Mn |
| Oct 28, 2023 | 53.56 Mn |
| Jul 29, 2023 | 51.38 Mn |
| Apr 29, 2023 | 53.62 Mn |
| Jan 28, 2023 | 50.49 Mn |
| Oct 29, 2022 | 53.07 Mn |
| Jul 30, 2022 | 52.92 Mn |
| Apr 30, 2022 | 52.48 Mn |
| Jan 29, 2022 | 53.10 Mn |
| Oct 30, 2021 | 49.92 Mn |
API Access
National Beverage Operating 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=operating-expenses&ticker=FIZZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();