Constellation Brands (STZ) EBITDA (2009 - 2026)
Constellation Brands' EBITDA was $901.8 million in fiscal Q2 2027 (quarter ended Aug 31, 2026), down 7.7% from $976.7 million a year earlier and down 4.4% from the prior quarter.
Constellation Brands (STZ) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Constellation Brands' EBITDA was $3.19 billion through Aug 31, 2026, up 19.7% year-over-year; for FY2026 (ended Feb 28, 2026), it was $3.14 billion, up 292.2% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $800.6 million in FY2025 (-77.8%), $3.6 billion in FY2024 (+11.0%), $3.24 billion in FY2023 (+21.3%) and $2.67 billion in FY2022 (-13.6%).
- Quarterly EBITDA has moved between -$1.12 billion (fiscal Q2 2025) and $1.09 billion (fiscal Q2 2024) over five years.
- Compared with a year earlier, EBITDA was higher in two of the last five quarters, with an average decline of 5.5%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q1 2023 (growth of 501.7%); the worst was fiscal Q4 2023 (a decline of 25.3%).
- Per Business Quant data, STZ's EBITDA in the three fiscal quarters before Q2 2027 was $942.9 million (Q1 2027), $553.4 million (Q4 2026) and $791 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 415.05 Bn | 401.36 Bn | 8.45 Bn | 4.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 195.63 Bn | 195.63 Bn | 2.15 Bn | - |
| 3 | Pepsico | 194.97 Bn | 152.73 Bn | 13.75 Bn | 5.15 Bn |
| 4 | Monster Beverage | 95.69 Bn | 83.94 Bn | 1.42 Bn | 770.23 Mn |
| 5 | Diageo | 54.44 Bn | 34.51 Bn | - | - |
| 6 | Coca-Cola Europacific Partners | 53.15 Bn | 45.82 Bn | - | - |
| 7 | Keurig Dr Pepper | 50.27 Bn | 46.32 Bn | 3.07 Bn | 971.00 Mn |
| 8 | Ambev | 43.18 Bn | 27.99 Bn | 2.14 Bn | 1.41 Bn |
| 9 | Constellation Brands | 25.00 Bn | 24.55 Bn | 1.39 Bn | 901.80 Mn |
| 10 | Brown Forman | 14.15 Bn | 12.83 Bn | 549.00 Mn | 275.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 901.80 Mn |
| May 31, 2026 | 942.90 Mn |
| Feb 28, 2026 | 553.40 Mn |
| Nov 30, 2025 | 791.00 Mn |
| Aug 31, 2025 | 976.70 Mn |
| May 31, 2025 | 819.00 Mn |
| Feb 28, 2025 | -44.40 Mn |
| Nov 30, 2024 | 912.00 Mn |
| Aug 31, 2024 | -1.12 Bn |
| May 31, 2024 | 1.05 Bn |
| Feb 29, 2024 | 735.50 Mn |
| Nov 30, 2023 | 905.00 Mn |
| Aug 31, 2023 | 1.09 Bn |
| May 31, 2023 | 870.00 Mn |
| Feb 28, 2023 | 572.10 Mn |
| Nov 30, 2022 | 841.60 Mn |
| Aug 31, 2022 | 903.90 Mn |
| May 31, 2022 | 909.10 Mn |
| Feb 28, 2022 | 766.20 Mn |
| Nov 30, 2021 | 926.20 Mn |
Constellation Brands EBITDA 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=ebitda&ticker=STZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=STZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();