National Beverage (FIZZ) Shares Outstanding (2010 - 2026)
National Beverage (FIZZ) recorded Weighted Average Shares Outstanding of 93.61 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), unchanged from 93.62 million a year earlier and unchanged from the prior quarter.
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Analysis
National Beverage (FIZZ) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2026 (ended May 2, 2026), National Beverage reported Weighted Average Shares Outstanding of 93.62 million, unchanged from FY2025.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of 0.1% (FY2021 to FY2026).
- Across earlier fiscal years, Weighted Average Shares Outstanding came in at 93.61 million in FY2025 (+0.2%), 93.43 million in FY2024 (+0.1%), 93.35 million in FY2023 (unchanged) and 93.32 million in FY2022 (unchanged).
- Quarterly Weighted Average Shares Outstanding has ranged from 93.31 million in fiscal Q2 2022 to 93.62 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding rose in four of the last eight quarters, with growth averaging 0.1%.
- Per Business Quant, the preceding three fiscal quarters came in at 93.62 million (Q4 2026), 93.61 million (Q3 2026) and 93.62 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 412.98 Bn | 401.46 Bn | 8.45 Bn | 4.30 Bn |
| 2 | Diageo | 237.65 Bn | 219.80 Bn | - | 556.00 Mn |
| 3 | Coca Cola Femsa Sab De Cv | 195.53 Bn | 195.53 Bn | 2.15 Bn | 1.68 Bn |
| 4 | Pepsico | 194.08 Bn | 152.04 Bn | 13.75 Bn | 1.36 Bn |
| 5 | Monster Beverage | 95.50 Bn | 83.75 Bn | 1.42 Bn | 1.96 Bn |
| 6 | Coca-Cola Europacific Partners | 52.02 Bn | 45.24 Bn | - | 456.00 Mn |
| 7 | Keurig Dr Pepper | 50.06 Bn | 50.30 Bn | 3.07 Bn | 1.36 Bn |
| 8 | Ambev | 43.66 Bn | 28.57 Bn | 2.14 Bn | 15.62 Bn |
| 9 | Constellation Brands | 24.61 Bn | 24.16 Bn | 1.39 Bn | 170.46 Mn |
| 10 | National Beverage | 3.52 Bn | 2.48 Bn | 115.79 Mn | 93.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 93.61 Mn |
| May 2, 2026 | 93.62 Mn |
| Jan 31, 2026 | 93.61 Mn |
| Nov 1, 2025 | 93.62 Mn |
| Aug 2, 2025 | 93.62 Mn |
| May 3, 2025 | 93.61 Mn |
| Jan 25, 2025 | 93.62 Mn |
| Oct 26, 2024 | 93.61 Mn |
| Jul 27, 2024 | 93.57 Mn |
| Apr 27, 2024 | 93.43 Mn |
| Jan 27, 2024 | 93.45 Mn |
| Oct 28, 2023 | 93.36 Mn |
| Jul 29, 2023 | 93.35 Mn |
| Apr 29, 2023 | 93.35 Mn |
| Jan 28, 2023 | 93.35 Mn |
| Oct 29, 2022 | 93.34 Mn |
| Jul 30, 2022 | 93.34 Mn |
| Apr 30, 2022 | 93.32 Mn |
| Jan 29, 2022 | 93.33 Mn |
| Oct 30, 2021 | 93.31 Mn |
API Access
National Beverage Shares Outstanding 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&ticker=FIZZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();