National Beverage (FIZZ) Enterprise Value (2010 - 2026)
National Beverage's (FIZZ) quarterly Enterprise Value came in at $2.9 billion in Q3 2026, down 29.93% year-over-year from $4.1 billion in Q3 2025, and little changed on a QoQ basis from $2.8 billion in Q2 2026.
National Beverage (FIZZ) Enterprise Value (2010 - 2026) Analysis & Trends
National Beverage (FIZZ) has 17 years of Enterprise Value data on file, last reported at $2.9 billion in Q3 2026.
- On a quarterly basis, Enterprise Value fell 29.93% year-over-year to $2.9 billion in Q3 2026; TTM through Aug 2026 was $2.9 billion, a 29.93% decrease from a year earlier, with the FY2026 full-year figure at $2.8 billion, down 25.81% from the prior year.
- Enterprise Value for Q3 2026 stood at $2.9 billion, roughly flat from $2.8 billion in the prior quarter.
- Across five years, Enterprise Value topped out at $5.0 billion in Q3 2022 and bottomed at $2.8 billion in Q2 2026.
- Historically, Enterprise Value has averaged $3.9 billion across 5 years, with a median of $4.0 billion in 2022.
- The largest YoY upside for Enterprise Value was 25.22% in 2022 against a maximum downside of 42.37% in 2022.
- Year by year, Enterprise Value stood at $4.3 billion in 2022, then declined by 6.71% to $4.0 billion in 2023, then advanced by 3.93% to $4.1 billion in 2024, then dropped by 28.86% to $2.9 billion in 2025, then decreased by 2.88% to $2.9 billion in 2026.
- Per Business Quant data, the three most recent Enterprise Value figures were $2.9 billion in Q3 2026, $2.8 billion in Q2 2026, and $2.9 billion 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 | 2.85 Bn |
| May 2, 2026 | 2.84 Bn |
| Jan 31, 2026 | 2.88 Bn |
| Nov 1, 2025 | 2.94 Bn |
| Aug 2, 2025 | 4.07 Bn |
| May 3, 2025 | 3.83 Bn |
| Jan 25, 2025 | 3.81 Bn |
| Oct 26, 2024 | 4.13 Bn |
| Jul 27, 2024 | 4.60 Bn |
| Apr 27, 2024 | 3.74 Bn |
| Jan 27, 2024 | 4.13 Bn |
| Oct 28, 2023 | 3.98 Bn |
| Jul 29, 2023 | 4.72 Bn |
| Apr 29, 2023 | 4.48 Bn |
| Jan 28, 2023 | 3.90 Bn |
| Oct 29, 2022 | 4.26 Bn |
| Jul 30, 2022 | 5.00 Bn |
| Apr 30, 2022 | 4.06 Bn |
| Jan 29, 2022 | 3.99 Bn |
| Oct 30, 2021 | 5.46 Bn |
National Beverage Enterprise Value 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=enterprise-value&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();