National Beverage (FIZZ) Total Liabilities (2011 - 2026)
National Beverage's Total Liabilities came in at $214.57 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 8.2% from $233.63 million a year earlier and down 0.6% from the prior quarter.
National Beverage (FIZZ) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), National Beverage's Total Liabilities was $215.93 million, down 5.6% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $228.86 million in FY2025 (+8.6%), $210.64 million in FY2024 (+4.4%), $201.86 million in FY2023 (-11.6%) and $228.37 million in FY2022 (+13.5%).
- The five-year range for quarterly Total Liabilities is $186.89 million (fiscal Q3 2023) to $233.63 million (fiscal Q1 2026).
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with an average decline of 0.6%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2022 (growth of 22.4%), and the weakest in fiscal Q3 2023 (a decline of 15.8%).
- Business Quant data shows FIZZ's Total Liabilities at $215.93 million (Q4 2026), $201.41 million (Q3 2026) and $197.72 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 69.61 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 | 89.49 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 2.02 Bn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | 33.89 Bn |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | 9.52 Bn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | 25.89 Bn |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 58.39 Bn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | 13.18 Bn |
| 10 | National Beverage | 3.20 Bn | 2.16 Bn | 115.79 Mn | 214.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 214.57 Mn |
| May 2, 2026 | 215.93 Mn |
| Jan 31, 2026 | 201.41 Mn |
| Nov 1, 2025 | 197.72 Mn |
| Aug 2, 2025 | 233.63 Mn |
| May 3, 2025 | 228.86 Mn |
| Jan 25, 2025 | 193.78 Mn |
| Oct 26, 2024 | 197.30 Mn |
| Jul 27, 2024 | 215.98 Mn |
| Apr 27, 2024 | 210.64 Mn |
| Jan 27, 2024 | 209.66 Mn |
| Oct 28, 2023 | 205.72 Mn |
| Jul 29, 2023 | 218.33 Mn |
| Apr 29, 2023 | 201.86 Mn |
| Jan 28, 2023 | 186.89 Mn |
| Oct 29, 2022 | 205.01 Mn |
| Jul 30, 2022 | 191.44 Mn |
| Apr 30, 2022 | 228.37 Mn |
| Jan 29, 2022 | 222.02 Mn |
| Oct 30, 2021 | 188.58 Mn |
National Beverage Total Liabilities 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=total-liabilities&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();