National Beverage (FIZZ) Income Taxes Paid (2010 - 2026)
National Beverage's Income Taxes Paid was $234,000 in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 148.9% from $94,000 a year earlier but down 98.5% from the prior quarter.
National Beverage (FIZZ) Income Taxes Paid (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, National Beverage's Income Taxes Paid was $58.57 million through Aug 1, 2026, up 4.8% year-over-year; for FY2026 (ended May 2, 2026), it was $58.43 million, up 4.4% from FY2025.
- Income Taxes Paid shows a five-year compound annual growth rate of -1.6% (FY2021 to FY2026).
- In earlier fiscal years, Income Taxes Paid was $55.99 million in FY2025 (unchanged), $55.97 million in FY2024 (+48.0%), $37.83 million in FY2023 (-27.2%) and $51.96 million in FY2022 (-18.0%).
- Quarterly Income Taxes Paid has moved between -$79,000 (fiscal Q1 2023) and $33 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Income Taxes Paid was higher in five of the last eight quarters, with growth averaging 15.0%.
- The best year-over-year quarter for Income Taxes Paid over five years was fiscal Q1 2027 (growth of 148.9%); the worst was fiscal Q1 2026 (a decline of 57.8%).
- Per Business Quant data, FIZZ's Income Taxes Paid in the three fiscal quarters before Q1 2027 was $15.19 million (Q4 2026), $10.15 million (Q3 2026) and $33 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn | - |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn | - |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn | - |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn | 260.63 Mn |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn | - |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | -209.92 Mn |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | - |
| 10 | National Beverage | 3.47 Bn | 2.43 Bn | 115.79 Mn | 234,000.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 234,000.00 |
| May 2, 2026 | 15.19 Mn |
| Jan 31, 2026 | 10.15 Mn |
| Nov 1, 2025 | 33.00 Mn |
| Aug 2, 2025 | 94,000.00 |
| May 3, 2025 | 9.49 Mn |
| Jan 25, 2025 | 15.42 Mn |
| Oct 26, 2024 | 30.86 Mn |
| Jul 27, 2024 | 223,000.00 |
| Apr 27, 2024 | 12.42 Mn |
| Jan 27, 2024 | 13.04 Mn |
| Oct 28, 2023 | 30.51 Mn |
| Jul 29, 2023 | 1,000.00 |
| Apr 29, 2023 | 10.42 Mn |
| Jan 28, 2023 | 6.04 Mn |
| Oct 29, 2022 | 21.45 Mn |
| Jul 30, 2022 | -79,000.00 |
| Apr 30, 2022 | 9.56 Mn |
| Jan 29, 2022 | 11.02 Mn |
| Oct 30, 2021 | 31.16 Mn |
National Beverage Income Taxes Paid 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=income-taxes-paid&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();