National Beverage (FIZZ) EBITDA (2010 - 2026)
National Beverage (FIZZ) reported EBITDA of $64.8 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 14.9% from $76.18 million a year earlier but up 15.3% from the prior quarter.
National Beverage (FIZZ) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, National Beverage's EBITDA came in at $241.41 million, down 6.3% year-over-year; for FY2026 (ended May 2, 2026), it came in at $252.79 million, down 1.4% from FY2025.
- EBITDA has a five-year compound annual growth rate of 0.6% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $256.26 million in FY2025 (+7.4%), $238.67 million in FY2024 (+15.5%), $206.73 million in FY2023 (-8.7%) and $226.4 million in FY2022 (-7.9%).
- Five-year quarterly EBITDA spans a low of $45.17 million in fiscal Q3 2022 and a high of $76.18 million in fiscal Q1 2026.
- Year over year, EBITDA gained in six of the last eight quarters, with an average decline of 0.2%.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2024 (growth of 31.0%); the low point was fiscal Q1 2023 (a decline of 30.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $56.22 million (Q4 2026), $56.76 million (Q3 2026) and $63.63 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 4.94 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.50 Bn | 193.50 Bn | 2.06 Bn | - |
| 3 | Pepsico | 175.26 Bn | 133.02 Bn | 13.75 Bn | 5.15 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 770.23 Mn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | - |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | 1.25 Bn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | - |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 971.00 Mn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | 901.80 Mn |
| 10 | National Beverage | 3.20 Bn | 2.16 Bn | 115.79 Mn | 64.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 64.80 Mn |
| May 2, 2026 | 56.22 Mn |
| Jan 31, 2026 | 56.76 Mn |
| Nov 1, 2025 | 63.63 Mn |
| Aug 2, 2025 | 76.18 Mn |
| May 3, 2025 | 62.98 Mn |
| Jan 25, 2025 | 55.36 Mn |
| Oct 26, 2024 | 63.01 Mn |
| Jul 27, 2024 | 74.91 Mn |
| Apr 27, 2024 | 58.00 Mn |
| Jan 27, 2024 | 53.33 Mn |
| Oct 28, 2023 | 59.28 Mn |
| Jul 29, 2023 | 68.06 Mn |
| Apr 29, 2023 | 53.34 Mn |
| Jan 28, 2023 | 49.55 Mn |
| Oct 29, 2022 | 51.90 Mn |
| Jul 30, 2022 | 51.94 Mn |
| Apr 30, 2022 | 50.10 Mn |
| Jan 29, 2022 | 45.17 Mn |
| Oct 30, 2021 | 56.12 Mn |
National Beverage EBITDA 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=ebitda&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();