National Beverage (FIZZ) Buildings (2013 - 2026)
National Beverage (FIZZ) posted Buildings of $103.55 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 26.1% from $82.09 million a year earlier and up 0.1% from the prior quarter.
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Analysis
National Beverage (FIZZ) Buildings (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), National Beverage's Buildings came in at $103.48 million, up 26.6% from FY2025.
- Annual Buildings has increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 10.7% (FY2021 to FY2026).
- In prior fiscal years, National Beverage's Buildings was $81.76 million in FY2025 (+14.0%), $71.75 million in FY2024 (+1.6%), $70.62 million in FY2023 (+7.5%) and $65.7 million in FY2022 (+5.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Buildings in data going back to fiscal Q4 2013.
- On a year-over-year basis, Buildings has increased in each of the last 45 quarters, with growth averaging 14.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Buildings ranged from 1.3% (fiscal Q1 2025) to 26.6% (fiscal Q4 2026).
- According to Business Quant data, Buildings for the three prior fiscal quarters was $103.48 million (Q4 2026), $82.79 million (Q3 2026) and $82.35 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.50 Bn | 193.50 Bn | 2.06 Bn |
| 3 | Pepsico | 175.26 Bn | 133.02 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn |
| 10 | National Beverage | 3.20 Bn | 2.16 Bn | 115.79 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();