National Beverage (FIZZ) Buildings (2013 - 2026)
National Beverage's (FIZZ) quarterly Buildings came in at $103.5 million in Q3 2026, up 26.15% year-over-year from $82.1 million in Q3 2025, and little changed on a QoQ basis from $103.5 million in Q2 2026.
National Beverage (FIZZ) Buildings (2013 - 2026) Analysis & Trends
National Beverage (FIZZ) has 14 years of Buildings data on file, last reported at $103.5 million in Q3 2026.
- On a quarterly basis, Buildings rose 26.15% year-over-year to $103.5 million in Q3 2026; TTM through Aug 2026 was $103.5 million, a 26.15% increase from a year earlier, with the FY2026 full-year figure at $103.5 million, up 26.55% from the prior year.
- Buildings for Q3 2026 stood at $103.5 million, roughly flat from $103.5 million in the prior quarter.
- Across five years, Buildings topped out at $103.5 million in Q3 2026 and bottomed at $63.5 million in Q1 2022.
- Historically, Buildings has averaged $76.0 million across 5 years, with a median of $71.8 million in 2024.
- The widest annual swing landed in 2024, when Buildings advanced 1.26%; it then grew 26.55% in 2026.
- Year by year, Buildings stood at $68.0 million in 2022, then advanced by 4.46% to $71.0 million in 2023, then rose by 2.65% to $72.9 million in 2024, then advanced by 12.97% to $82.3 million in 2025, then rose by 25.74% to $103.5 million in 2026.
- Per Business Quant data, the three most recent Buildings figures were $103.5 million in Q3 2026, $103.5 million in Q2 2026, and $82.8 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 | 103.55 Mn |
| May 2, 2026 | 103.48 Mn |
| Jan 31, 2026 | 82.79 Mn |
| Nov 1, 2025 | 82.35 Mn |
| Aug 2, 2025 | 82.09 Mn |
| May 3, 2025 | 81.76 Mn |
| Jan 25, 2025 | 73.74 Mn |
| Oct 26, 2024 | 72.89 Mn |
| Jul 27, 2024 | 71.76 Mn |
| Apr 27, 2024 | 71.75 Mn |
| Jan 27, 2024 | 71.30 Mn |
| Oct 28, 2023 | 71.01 Mn |
| Jul 29, 2023 | 70.87 Mn |
| Apr 29, 2023 | 70.62 Mn |
| Jan 28, 2023 | 70.08 Mn |
| Oct 29, 2022 | 67.98 Mn |
| Jul 30, 2022 | 66.50 Mn |
| Apr 30, 2022 | 65.70 Mn |
| Jan 29, 2022 | 63.53 Mn |
| Oct 30, 2021 | 62.86 Mn |
National Beverage Buildings 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=buildings&ticker=FIZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=FIZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();