National Beverage (FIZZ) Shares Outstanding (Diluted) (2010 - 2026)
National Beverage (FIZZ) reported Shares Outstanding (Diluted) of 93.66 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), unchanged from 93.7 million a year earlier and unchanged from the prior quarter.
National Beverage (FIZZ) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended May 2, 2026), National Beverage posted Shares Outstanding (Diluted) of 93.67 million, unchanged from FY2025.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 93.69 million in FY2025 (+0.1%), 93.63 million in FY2024 (unchanged), 93.61 million in FY2023 (unchanged) and 93.6 million in FY2022 (unchanged).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 93.57 million in fiscal Q2 2022 and a high of 93.7 million in fiscal Q1 2026.
- Year over year, Shares Outstanding (Diluted) gained in three of the last eight quarters, with an average year-over-year change of 0.0%.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 93.67 million (Q4 2026), 93.65 million (Q3 2026) and 93.68 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.83 Bn | 382.30 Bn | 8.42 Bn | 4.31 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.51 Bn | 193.51 Bn | 2.06 Bn | 142.00 Bn |
| 3 | Pepsico | 175.42 Bn | 133.18 Bn | 13.75 Bn | 1.37 Bn |
| 4 | Monster Beverage | 88.66 Bn | 76.91 Bn | 1.42 Bn | 1.98 Bn |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | 557.75 Mn |
| 6 | Ambev | 50.76 Bn | 36.05 Bn | 2.06 Bn | 15.68 Bn |
| 7 | Coca-Cola Europacific Partners | 50.09 Bn | 42.76 Bn | - | 456.00 Mn |
| 8 | Keurig Dr Pepper | 46.34 Bn | 42.38 Bn | 3.07 Bn | 1.36 Bn |
| 9 | Constellation Brands | 22.12 Bn | 21.67 Bn | 1.39 Bn | 170.60 Mn |
| 10 | National Beverage | 3.21 Bn | 2.17 Bn | 115.79 Mn | 93.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 93.66 Mn |
| May 2, 2026 | 93.67 Mn |
| Jan 31, 2026 | 93.65 Mn |
| Nov 1, 2025 | 93.68 Mn |
| Aug 2, 2025 | 93.70 Mn |
| May 3, 2025 | 93.69 Mn |
| Jan 25, 2025 | 93.69 Mn |
| Oct 26, 2024 | 93.69 Mn |
| Jul 27, 2024 | 93.67 Mn |
| Apr 27, 2024 | 93.63 Mn |
| Jan 27, 2024 | 93.64 Mn |
| Oct 28, 2023 | 93.60 Mn |
| Jul 29, 2023 | 93.61 Mn |
| Apr 29, 2023 | 93.61 Mn |
| Jan 28, 2023 | 93.61 Mn |
| Oct 29, 2022 | 93.60 Mn |
| Jul 30, 2022 | 93.60 Mn |
| Apr 30, 2022 | 93.60 Mn |
| Jan 29, 2022 | 93.61 Mn |
| Oct 30, 2021 | 93.57 Mn |
National Beverage Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();