National Beverage (FIZZ) Cash & Equivalents (2010 - 2026)
National Beverage (FIZZ) reported Cash & Equivalents of $107.1 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 57.1% from $249.83 million a year earlier and down 69.4% from the prior quarter.
National Beverage (FIZZ) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), National Beverage posted Cash & Equivalents of $349.54 million, up 80.3% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $193.84 million in FY2025 (-40.7%), $327.05 million in FY2024 (+106.9%), $158.07 million in FY2023 (+229.0%) and $48.05 million in FY2022 (-75.2%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Cash & Equivalents since fiscal Q1 2025.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with growth averaging 44.4%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2024 (growth of 297.4%); the low point was fiscal Q1 2023 (a decline of 77.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $349.54 million (Q4 2026), $313.97 million (Q3 2026) and $269.31 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.83 Bn | 382.30 Bn | 8.42 Bn | 12.91 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.51 Bn | 193.51 Bn | 2.06 Bn | - |
| 3 | Pepsico | 175.42 Bn | 133.18 Bn | 13.75 Bn | 10.68 Bn |
| 4 | Monster Beverage | 88.66 Bn | 76.91 Bn | 1.42 Bn | 2.19 Bn |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | 1.52 Bn |
| 6 | Ambev | 50.76 Bn | 36.05 Bn | 2.06 Bn | 3.21 Bn |
| 7 | Coca-Cola Europacific Partners | 50.09 Bn | 42.76 Bn | - | 1.08 Bn |
| 8 | Keurig Dr Pepper | 46.34 Bn | 42.38 Bn | 3.07 Bn | 1.52 Bn |
| 9 | Constellation Brands | 22.12 Bn | 21.67 Bn | 1.39 Bn | 98.50 Mn |
| 10 | National Beverage | 3.21 Bn | 2.17 Bn | 115.79 Mn | 107.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 107.10 Mn |
| May 2, 2026 | 349.54 Mn |
| Jan 31, 2026 | 313.97 Mn |
| Nov 1, 2025 | 269.31 Mn |
| Aug 2, 2025 | 249.83 Mn |
| May 3, 2025 | 193.84 Mn |
| Jan 25, 2025 | 149.22 Mn |
| Oct 26, 2024 | 112.84 Mn |
| Jul 27, 2024 | 77.04 Mn |
| Apr 27, 2024 | 327.05 Mn |
| Jan 27, 2024 | 276.96 Mn |
| Oct 28, 2023 | 247.68 Mn |
| Jul 29, 2023 | 222.77 Mn |
| Apr 29, 2023 | 158.07 Mn |
| Jan 28, 2023 | 118.32 Mn |
| Oct 29, 2022 | 92.63 Mn |
| Jul 30, 2022 | 56.06 Mn |
| Apr 30, 2022 | 48.05 Mn |
| Jan 29, 2022 | 40.37 Mn |
| Oct 30, 2021 | 273.04 Mn |
National Beverage Cash & Equivalents 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=cash-and-equivalents&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();