Constellation Brands (STZ) Selling, General & Administrative (2009 - 2026)
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Analysis
Constellation Brands (STZ) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 3.72 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 | 9.09 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | - |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | -300.94 Mn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | 457.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 457.00 Mn |
| Feb 28, 2026 | 420.50 Mn |
| Nov 30, 2025 | 491.20 Mn |
| Aug 31, 2025 | 436.00 Mn |
| May 31, 2025 | 500.70 Mn |
| Feb 28, 2025 | 505.30 Mn |
| Nov 30, 2024 | 491.30 Mn |
| Aug 31, 2024 | 491.20 Mn |
| May 31, 2024 | 462.20 Mn |
| Feb 29, 2024 | 394.70 Mn |
| Nov 30, 2023 | 473.70 Mn |
| Aug 31, 2023 | 471.20 Mn |
| May 31, 2023 | 493.10 Mn |
| Feb 28, 2023 | 496.50 Mn |
| Nov 30, 2022 | 480.20 Mn |
| Aug 31, 2022 | 512.80 Mn |
| May 31, 2022 | 438.60 Mn |
| Feb 28, 2022 | 455.10 Mn |
| Nov 30, 2021 | 385.80 Mn |
| Aug 31, 2021 | 490.50 Mn |
API Access
Constellation Brands Selling, General & Administrative 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=selling-general-and-administrative&ticker=STZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "STZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=STZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();