Constellation Brands (STZ) Cash & Equivalents (2009 - 2026)
Constellation Brands (STZ) reported Cash & Equivalents of $98.5 million for fiscal Q2 2027 (quarter ended Aug 31, 2026), up 36.8% from $72 million a year earlier and up 2.0% from the prior quarter.
Constellation Brands (STZ) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 28, 2026), Constellation Brands posted Cash & Equivalents of $102.4 million, up 50.4% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of -26.0% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $68.1 million in FY2025 (-55.3%), $152.4 million in FY2024 (+14.2%), $133.5 million in FY2023 (-33.0%) and $199.4 million in FY2022 (-56.7%).
- Five-year quarterly Cash & Equivalents spans a low of $64.6 million in fiscal Q2 2025 and a high of $361.3 million in fiscal Q3 2022.
- Year over year, Cash & Equivalents has now increased in each of the last six quarters, with growth averaging 21.8% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2022 (growth of 136.3%); the low point was fiscal Q1 2023 (a decline of 79.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $96.6 million (Q1 2027), $102.4 million (Q4 2026) and $152.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 398.85 Bn | 387.48 Bn | 8.42 Bn | 12.91 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.64 Bn | 198.64 Bn | 2.06 Bn | - |
| 3 | Pepsico | 185.02 Bn | 142.98 Bn | 13.75 Bn | 10.68 Bn |
| 4 | Monster Beverage | 90.49 Bn | 78.74 Bn | 1.42 Bn | 2.19 Bn |
| 5 | Diageo | 58.34 Bn | 40.49 Bn | - | 1.52 Bn |
| 6 | Ambev | 52.01 Bn | 37.41 Bn | 2.06 Bn | 3.21 Bn |
| 7 | Coca-Cola Europacific Partners | 49.78 Bn | 43.00 Bn | - | 1.08 Bn |
| 8 | Keurig Dr Pepper | 47.19 Bn | 47.43 Bn | 3.07 Bn | 1.52 Bn |
| 9 | Constellation Brands | 23.46 Bn | 23.01 Bn | 1.39 Bn | 98.50 Mn |
| 10 | Brown Forman | 13.49 Bn | 12.18 Bn | 549.00 Mn | 301.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 98.50 Mn |
| May 31, 2026 | 96.60 Mn |
| Feb 28, 2026 | 102.40 Mn |
| Nov 30, 2025 | 152.40 Mn |
| Aug 31, 2025 | 72.00 Mn |
| May 31, 2025 | 73.90 Mn |
| Feb 28, 2025 | 68.10 Mn |
| Nov 30, 2024 | 73.70 Mn |
| Aug 31, 2024 | 64.60 Mn |
| May 31, 2024 | 73.80 Mn |
| Feb 29, 2024 | 152.40 Mn |
| Nov 30, 2023 | 78.70 Mn |
| Aug 31, 2023 | 83.30 Mn |
| May 31, 2023 | 192.50 Mn |
| Feb 28, 2023 | 133.50 Mn |
| Nov 30, 2022 | 185.00 Mn |
| Aug 31, 2022 | 165.10 Mn |
| May 31, 2022 | 101.80 Mn |
| Feb 28, 2022 | 199.40 Mn |
| Nov 30, 2021 | 361.30 Mn |
Constellation Brands Cash & Equivalents 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=cash-and-equivalents&ticker=STZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=STZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();