National Beverage (FIZZ) Prepaid Assets (2011 - 2026)
National Beverage's (FIZZ) quarterly Prepaid Assets came in at $14.2 million in Q3 2026, down 44.97% year-over-year from $25.9 million in Q3 2025, and down 67.41% on a QoQ basis from $43.7 million in Q2 2026.
National Beverage (FIZZ) Prepaid Assets (2011 - 2026) Analysis & Trends
National Beverage (FIZZ) has 16 years of Prepaid Assets data on file, last reported at $14.2 million in Q3 2026.
- On a quarterly basis, Prepaid Assets fell 44.97% year-over-year to $14.2 million in Q3 2026; TTM through Aug 2026 was $14.2 million, a 44.97% decrease from a year earlier, with the FY2026 full-year figure at $43.7 million, up 83.38% from the prior year.
- Prepaid Assets for Q3 2026 stood at $14.2 million, down from $43.7 million in the prior quarter.
- Across five years, Prepaid Assets topped out at $43.7 million in Q2 2026 and bottomed at $7.2 million in Q3 2022.
- Historically, Prepaid Assets has averaged $21.1 million across 5 years, with a median of $21.8 million in 2024.
- The widest annual swing landed in 2023, when Prepaid Assets slumped 66.73%; it then surged 171.91% in 2025.
- Year by year, Prepaid Assets stood at $17.2 million in 2022, then declined by 8.07% to $15.8 million in 2023, then jumped by 35.39% to $21.4 million in 2024, then surged by 54.65% to $33.1 million in 2025, then slumped by 56.98% to $14.2 million in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $14.2 million in Q3 2026, $43.7 million in Q2 2026, and $30.5 million 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 | 14.24 Mn |
| May 2, 2026 | 43.70 Mn |
| Jan 31, 2026 | 30.53 Mn |
| Nov 1, 2025 | 33.10 Mn |
| Aug 2, 2025 | 25.88 Mn |
| May 3, 2025 | 23.83 Mn |
| Jan 25, 2025 | 27.41 Mn |
| Oct 26, 2024 | 21.40 Mn |
| Jul 27, 2024 | 9.52 Mn |
| Apr 27, 2024 | 22.39 Mn |
| Jan 27, 2024 | 21.78 Mn |
| Oct 28, 2023 | 15.81 Mn |
| Jul 29, 2023 | 8.03 Mn |
| Apr 29, 2023 | 9.84 Mn |
| Jan 28, 2023 | 14.90 Mn |
| Oct 29, 2022 | 17.20 Mn |
| Jul 30, 2022 | 7.16 Mn |
| Apr 30, 2022 | 29.56 Mn |
| Jan 29, 2022 | 25.52 Mn |
| Oct 30, 2021 | 10.42 Mn |
National Beverage Prepaid Assets 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=prepaid-assets&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();