National Beverage (FIZZ) Accumulated Expenses (2011 - 2026)
National Beverage's (FIZZ) quarterly Accumulated Expenses came in at $36.1 million in Q3 2026, down 9.48% year-over-year from $39.9 million in Q3 2025, and up 8.45% on a QoQ basis from $33.3 million in Q2 2026.
National Beverage (FIZZ) Accumulated Expenses (2011 - 2026) Analysis & Trends
National Beverage (FIZZ) has 16 years of Accumulated Expenses data on file, last reported at $36.1 million in Q3 2026.
- On a quarterly basis, Accumulated Expenses fell 9.48% year-over-year to $36.1 million in Q3 2026; TTM through Aug 2026 was $36.1 million, a 9.48% decrease from a year earlier, with the FY2026 full-year figure at $33.3 million, down 23.47% from the prior year.
- Accumulated Expenses for Q3 2026 stood at $36.1 million, up from $33.3 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $51.1 million in Q4 2022 and bottomed at $33.3 million in Q2 2026.
- Historically, Accumulated Expenses has averaged $43.0 million across 5 years, with a median of $43.5 million in 2025.
- The widest annual swing landed in 2022, when Accumulated Expenses surged 42.16%; it then retreated 23.47% in 2026.
- Year by year, Accumulated Expenses stood at $51.1 million in 2022, then slipped by 4.42% to $48.9 million in 2023, then dropped by 8.1% to $44.9 million in 2024, then dropped by 21.11% to $35.4 million in 2025, then advanced by 1.96% to $36.1 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $36.1 million in Q3 2026, $33.3 million in Q2 2026, and $39.5 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn |
| 10 | National Beverage | 2.87 Bn | 2.76 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();