National Beverage (FIZZ) Price to Earnings (2010 - 2026)
National Beverage's (FIZZ) quarterly Price to Earnings came in at 16.94 in Q3 2026, down 27.61% year-over-year from 23.4 in Q3 2025, and down 2.59% on a QoQ basis from 17.39 in Q2 2026.
National Beverage (FIZZ) Price to Earnings (2010 - 2026) Analysis & Trends
National Beverage (FIZZ) has 16 years of Price to Earnings data on file, last reported at 16.94 in Q3 2026.
- On a quarterly basis, Price to Earnings fell 27.61% year-over-year to 16.94 in Q3 2026; TTM through Aug 2026 was 16.94, a 27.61% decrease from a year earlier, with the FY2026 full-year figure at 17.39, down 19.67% from the prior year.
- Price to Earnings for Q3 2026 stood at 16.94, down from 17.39 in the prior quarter.
- Across five years, Price to Earnings topped out at 36.08 in Q3 2022 and bottomed at 16.94 in Q3 2026.
- Historically, Price to Earnings has averaged 24.88 across 5 years, with a median of 24.72 in 2022.
- The largest YoY upside for Price to Earnings was 50.64% in 2022 against a maximum downside of 40.53% in 2022.
- Year by year, Price to Earnings stood at 31.9 in 2022, then retreated by 17.29% to 26.38 in 2023, then retreated by 13.38% to 22.85 in 2024, then fell by 24.54% to 17.24 in 2025, then declined by 1.79% to 16.94 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 16.94 in Q3 2026, 17.39 in Q2 2026, and 17.01 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 | 16.94 |
| May 2, 2026 | 79.20 |
| Jan 31, 2026 | 77.44 |
| Nov 1, 2025 | 69.21 |
| Aug 2, 2025 | 77.77 |
| May 3, 2025 | 91.04 |
| Jan 25, 2025 | 99.78 |
| Oct 26, 2024 | 93.01 |
| Jul 27, 2024 | 82.40 |
| Apr 27, 2024 | 93.24 |
| Jan 27, 2024 | 111.45 |
| Oct 28, 2023 | 96.45 |
| Jul 29, 2023 | 99.50 |
| Apr 29, 2023 | 143.67 |
| Jan 28, 2023 | 116.91 |
| Oct 29, 2022 | 121.15 |
| Jul 30, 2022 | 142.64 |
| Apr 30, 2022 | 119.80 |
| Jan 29, 2022 | 129.93 |
| Oct 30, 2021 | 146.00 |
National Beverage Price to Earnings 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=price-to-earnings&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();