National Beverage (FIZZ) Gross Margin (2010 - 2026)
National Beverage's (FIZZ) quarterly Gross Margin came in at 35.02% in Q3 2026, down 294.0% year-over-year from 18.05% in Q3 2025, and up 1.01% on a QoQ basis from 34.67% in Q2 2026.
National Beverage (FIZZ) Gross Margin (2010 - 2026) Analysis & Trends
National Beverage (FIZZ) has 17 years of Gross Margin data on file, last reported at 35.02% in Q3 2026.
- On a quarterly basis, Gross Margin fell 294.0% year-over-year to 35.02% in Q3 2026; TTM through Aug 2026 was 36.21%, a 96.0% decrease from a year earlier, with the FY2026 full-year figure at 37.04%, up 9.0% from the prior year.
- Gross Margin for Q3 2026 stood at 35.02%, up from 34.67% in the prior quarter.
- Across five years, Gross Margin topped out at 37.96% in Q3 2025 and bottomed at 31.25% in Q3 2022.
- Historically, Gross Margin has averaged 35.85% across 5 years, with a median of 35.94% in 2023.
- The widest annual swing landed in 2022, when Gross Margin sank 878 bps; it then jumped 406 bps in 2023.
- Year by year, Gross Margin stood at 33.37% in 2022, then climbed by 8 bps to 35.94% in 2023, then increased by 4 bps to 37.55% in 2024, then increased by 1 bps to 37.87% in 2025, then decreased by 8 bps to 35.02% in 2026.
- Per Business Quant data, the three most recent Gross Margin figures were 35.02% in Q3 2026, 34.67% in Q2 2026, and 37.65% in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 62.89% |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | 47.09% |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 54.22% |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | 55.95% |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | 51.86% |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 41.95% |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 40.03% |
| 10 | National Beverage | 2.87 Bn | 2.76 Bn | 115.79 Mn | 35.02% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 35.02% |
| May 2, 2026 | 34.67% |
| Jan 31, 2026 | 37.65% |
| Nov 1, 2025 | 37.87% |
| Aug 2, 2025 | 37.96% |
| May 3, 2025 | 36.10% |
| Jan 25, 2025 | 37.05% |
| Oct 26, 2024 | 37.55% |
| Jul 27, 2024 | 37.16% |
| Apr 27, 2024 | 36.69% |
| Jan 27, 2024 | 35.93% |
| Oct 28, 2023 | 35.94% |
| Jul 29, 2023 | 35.31% |
| Apr 29, 2023 | 35.74% |
| Jan 28, 2023 | 35.35% |
| Oct 29, 2022 | 33.37% |
| Jul 30, 2022 | 31.25% |
| Apr 30, 2022 | 34.39% |
| Jan 29, 2022 | 36.23% |
| Oct 30, 2021 | 35.84% |
National Beverage Gross Margin 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=gross-margin&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();