National Beverage (FIZZ) Total Non-Current Liabilities (2011 - 2026)
National Beverage (FIZZ) reported Total Non-Current Liabilities of $207.64 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 8.0% from $225.79 million a year earlier and down 0.6% from the prior quarter.
National Beverage (FIZZ) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), National Beverage posted Total Non-Current Liabilities of $208.88 million, down 5.5% from FY2025.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $221.1 million in FY2025 (+9.0%), $202.86 million in FY2024 (+4.6%), $193.92 million in FY2023 (-11.8%) and $219.85 million in FY2022 (+13.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $179.1 million in fiscal Q3 2023 and a high of $225.79 million in fiscal Q1 2026.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q3 2022 (growth of 22.7%); the low point was fiscal Q3 2023 (a decline of 16.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $208.88 million (Q4 2026), $194.16 million (Q3 2026) and $190.43 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 64.98 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 | 81.29 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 1.87 Bn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | 23.16 Bn |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | 1.87 Bn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | 16.43 Bn |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 384.00 Mn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | - |
| 10 | National Beverage | 3.20 Bn | 2.16 Bn | 115.79 Mn | 207.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 207.64 Mn |
| May 2, 2026 | 208.88 Mn |
| Jan 31, 2026 | 194.16 Mn |
| Nov 1, 2025 | 190.43 Mn |
| Aug 2, 2025 | 225.79 Mn |
| May 3, 2025 | 221.10 Mn |
| Jan 25, 2025 | 185.70 Mn |
| Oct 26, 2024 | 189.31 Mn |
| Jul 27, 2024 | 206.95 Mn |
| Apr 27, 2024 | 202.86 Mn |
| Jan 27, 2024 | 202.56 Mn |
| Oct 28, 2023 | 198.33 Mn |
| Jul 29, 2023 | 210.77 Mn |
| Apr 29, 2023 | 193.92 Mn |
| Jan 28, 2023 | 179.10 Mn |
| Oct 29, 2022 | 197.09 Mn |
| Jul 30, 2022 | 181.82 Mn |
| Apr 30, 2022 | 219.85 Mn |
| Jan 29, 2022 | 213.89 Mn |
| Oct 30, 2021 | 180.36 Mn |
National Beverage Total Non-Current 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-non-current-liabilities&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();