Constellation Brands (STZ) Operating Expenses (2009 - 2026)
Constellation Brands (STZ) reported Operating Expenses of $538.2 million for fiscal Q2 2027 (quarter ended Aug 31, 2026), up 23.4% from $436 million a year earlier and up 17.8% from the prior quarter.
Constellation Brands (STZ) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Constellation Brands' Operating Expenses came in at $1.91 billion, down 1.4% year-over-year; for FY2026 (ended Feb 28, 2026), it was $1.85 billion, down 5.2% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $1.95 billion in FY2025 (+6.4%), $1.83 billion in FY2024 (-4.9%), $1.93 billion in FY2023 (+12.8%) and $1.71 billion in FY2022 (+2.1%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q2 2010.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 3.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2025 (growth of 28.0%); the low point was fiscal Q4 2024 (a decline of 20.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $457 million (Q1 2027), $420.5 million (Q4 2026) and $491.2 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.83 Bn | 382.30 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.51 Bn | 193.51 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 175.42 Bn | 133.18 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 88.66 Bn | 76.91 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | - |
| 6 | Ambev | 50.76 Bn | 36.05 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.09 Bn | 42.76 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 46.34 Bn | 42.38 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.12 Bn | 21.67 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Coca-Cola Consolidated | 13.61 Bn | 11.24 Bn | 778.41 Mn | 507.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 538.20 Mn |
| 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 |
Constellation Brands Operating Expenses 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-expenses&ticker=STZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=STZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();