Constellation Brands (STZ) Accumulated Expenses (2016 - 2026)
Constellation Brands (STZ) recorded Accumulated Expenses of $744.9 million in fiscal Q2 2027 (quarter ended Aug 31, 2026), down 15.3% from $879.6 million a year earlier and down 16.3% from the prior quarter.
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Analysis
Constellation Brands (STZ) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Constellation Brands reported Accumulated Expenses of $854 million, down 3.7% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 1.8% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $886.7 million in FY2025 (+6.0%), $836.4 million in FY2024 (-1.8%), $852 million in FY2023 (-2.2%) and $871.3 million in FY2022 (+11.7%).
- The fiscal Q2 2027 figure is the lowest quarterly Accumulated Expenses since fiscal Q1 2022.
- On a year-over-year basis, Accumulated Expenses has declined for five consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 42.3% in fiscal Q3 2022, against a decline of 21.1% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $890 million (Q1 2027), $854 million (Q4 2026) and $818 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 394.76 Bn | 381.23 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.90 Bn | 193.90 Bn | 2.06 Bn |
| 3 | Pepsico | 175.24 Bn | 133.00 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.77 Bn | 77.03 Bn | 1.42 Bn |
| 5 | Diageo | 52.19 Bn | 32.26 Bn | - |
| 6 | Ambev | 50.68 Bn | 35.97 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.06 Bn | 42.72 Bn | - |
| 8 | Keurig Dr Pepper | 46.50 Bn | 42.54 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.07 Bn | 21.62 Bn | 1.39 Bn |
| 10 | Coca-Cola Consolidated | 13.60 Bn | 11.23 Bn | 778.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 744.90 Mn |
| May 31, 2026 | 890.00 Mn |
| Feb 28, 2026 | 854.00 Mn |
| Nov 30, 2025 | 818.00 Mn |
| Aug 31, 2025 | 879.60 Mn |
| May 31, 2025 | 934.10 Mn |
| Feb 28, 2025 | 886.70 Mn |
| Nov 30, 2024 | 839.70 Mn |
| Aug 31, 2024 | 901.60 Mn |
| May 31, 2024 | 783.50 Mn |
| Feb 29, 2024 | 836.40 Mn |
| Nov 30, 2023 | 934.90 Mn |
| Aug 31, 2023 | 853.00 Mn |
| May 31, 2023 | 810.00 Mn |
| Feb 28, 2023 | 852.00 Mn |
| Nov 30, 2022 | 831.70 Mn |
| Aug 31, 2022 | 881.30 Mn |
| May 31, 2022 | 792.10 Mn |
| Feb 28, 2022 | 871.30 Mn |
| Nov 30, 2021 | 1.05 Bn |
API Access
Constellation Brands Accumulated 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=accumulated-expenses&ticker=STZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=STZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();