National Beverage (FIZZ) Accumulated Expenses (2011 - 2026)
National Beverage (FIZZ) posted Accumulated Expenses of $36.12 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 9.5% from $39.91 million a year earlier but up 8.5% from the prior quarter.
National Beverage (FIZZ) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), National Beverage's Accumulated Expenses came in at $33.31 million, down 23.5% from FY2025.
- Annual Accumulated Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -5.2% (FY2021 to FY2026).
- In prior fiscal years, National Beverage's Accumulated Expenses was $43.52 million in FY2025 (-6.5%), $46.57 million in FY2024 (-1.6%), $47.32 million in FY2023 (+21.0%) and $39.09 million in FY2022 (-10.2%).
- Quarterly Accumulated Expenses has run from a low of $33.31 million in fiscal Q4 2026 to a high of $51.13 million in fiscal Q2 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last eight quarters, with an average decline of 12.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2023, with growth of 42.2%; the weakest was fiscal Q4 2026, with a decline of 23.5%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $33.31 million (Q4 2026), $39.51 million (Q3 2026) and $35.43 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 395.83 Bn | 382.30 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.51 Bn | 193.51 Bn | 2.06 Bn |
| 3 | Pepsico | 175.42 Bn | 133.18 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.66 Bn | 76.91 Bn | 1.42 Bn |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - |
| 6 | Ambev | 50.76 Bn | 36.05 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.09 Bn | 42.76 Bn | - |
| 8 | Keurig Dr Pepper | 46.34 Bn | 42.38 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.12 Bn | 21.67 Bn | 1.39 Bn |
| 10 | National Beverage | 3.21 Bn | 2.17 Bn | 115.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 36.12 Mn |
| May 2, 2026 | 33.31 Mn |
| Jan 31, 2026 | 39.51 Mn |
| Nov 1, 2025 | 35.43 Mn |
| Aug 2, 2025 | 39.91 Mn |
| May 3, 2025 | 43.52 Mn |
| Jan 25, 2025 | 43.26 Mn |
| Oct 26, 2024 | 44.91 Mn |
| Jul 27, 2024 | 49.77 Mn |
| Apr 27, 2024 | 46.57 Mn |
| Jan 27, 2024 | 45.41 Mn |
| Oct 28, 2023 | 48.87 Mn |
| Jul 29, 2023 | 48.73 Mn |
| Apr 29, 2023 | 47.32 Mn |
| Jan 28, 2023 | 44.18 Mn |
| Oct 29, 2022 | 51.13 Mn |
| Jul 30, 2022 | 43.33 Mn |
| Apr 30, 2022 | 39.09 Mn |
| Jan 29, 2022 | 37.45 Mn |
| Oct 30, 2021 | 35.97 Mn |
National Beverage Accumulated 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=accumulated-expenses&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();