National Beverage (FIZZ) Operating Leases (2019 - 2026)
National Beverage's (FIZZ) quarterly Operating Leases came in at $58.8 million in Q3 2026, down 15.93% year-over-year from $69.9 million in Q3 2025, and up 32.13% on a QoQ basis from $44.5 million in Q2 2026.
National Beverage (FIZZ) Operating Leases (2019 - 2026) Analysis & Trends
National Beverage (FIZZ) has 8 years of Operating Leases data on file, last reported at $58.8 million in Q3 2026.
- On a quarterly basis, Operating Leases fell 15.93% year-over-year to $58.8 million in Q3 2026; TTM through Aug 2026 was $58.8 million, a 15.93% decrease from a year earlier, with the FY2026 full-year figure at $44.5 million, down 22.77% from the prior year.
- Operating Leases for Q3 2026 stood at $58.8 million, up from $44.5 million in the prior quarter.
- Across five years, Operating Leases topped out at $69.9 million in Q3 2025 and bottomed at $20.7 million in Q2 2022.
- Historically, Operating Leases has averaged $44.2 million across 5 years, with a median of $44.5 million in 2026.
- The widest annual swing landed in 2022, when Operating Leases slipped 29.45%; it then soared 73.62% in 2024.
- Year by year, Operating Leases stood at $28.8 million in 2022, then rose by 9.82% to $31.6 million in 2023, then jumped by 59.6% to $50.5 million in 2024, then jumped by 31.12% to $66.2 million in 2025, then fell by 11.21% to $58.8 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $58.8 million in Q3 2026, $44.5 million in Q2 2026, and $62.7 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 | 58.77 Mn |
| May 2, 2026 | 58.94 Mn |
| Jan 31, 2026 | 62.67 Mn |
| Nov 1, 2025 | 66.19 Mn |
| Aug 2, 2025 | 69.90 Mn |
| May 3, 2025 | 57.59 Mn |
| Jan 25, 2025 | 55.33 Mn |
| Oct 26, 2024 | 50.48 Mn |
| Jul 27, 2024 | 51.93 Mn |
| Apr 27, 2024 | 41.69 Mn |
| Jan 27, 2024 | 44.57 Mn |
| Oct 28, 2023 | 31.63 Mn |
| Jul 29, 2023 | 29.91 Mn |
| Apr 29, 2023 | 29.78 Mn |
| Jan 28, 2023 | 28.99 Mn |
| Oct 29, 2022 | 28.80 Mn |
| Jul 30, 2022 | 28.63 Mn |
| Apr 30, 2022 | 20.70 Mn |
| Jan 29, 2022 | 38.52 Mn |
| Oct 30, 2021 | 37.68 Mn |
National Beverage Operating Leases 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=operating-leases&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();