National Beverage (FIZZ) Dividend Yield (2013 - 2026)
National Beverage's (FIZZ) quarterly Dividend Yield came in at 10.27% in Q3 2026, up 36.24% on a QoQ basis from 7.54% in Q2 2025.
Analysis
National Beverage (FIZZ) Dividend Yield (2013 - 2026) Analysis & Trends
National Beverage (FIZZ) has 4 years of Dividend Yield data on file, last reported at 10.27% in Q3 2026.
- On a quarterly basis, Dividend Yield changed N/A year-over-year to 10.27% in Q3 2026; TTM through Aug 2026 was 10.27%, a N/A change from a year earlier, with the FY2025 full-year figure at 7.54%, changed N/A from the prior year.
- Dividend Yield for Q3 2026 stood at 10.27%, up from 7.54% in the prior quarter.
- Across five years, Dividend Yield topped out at 10.27% in Q3 2026 and bottomed at 6.5% in Q3 2024.
- Historically, Dividend Yield has averaged 7.83% across 3 years, with a median of 7.54% in 2025.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 10.27% |
| Jul 27, 2024 | 6.50% |
| Jan 26, 2013 | 18.26% |
API Access
National Beverage Dividend Yield 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=dividend-yield&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();