Constellation Brands (STZ) Depreciation and Depletion (2009 - 2026)
Constellation Brands' Depreciation and Depletion was $97.6 million in fiscal Q1 2027 (quarter ended May 31, 2026), down 7.2% from $105.2 million a year earlier and down 12.7% from the prior quarter.
Constellation Brands (STZ) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Constellation Brands' Depreciation and Depletion was $411.1 million through May 31, 2026, down 6.4% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $418.7 million, down 6.1% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $445.7 million in FY2025 (+4.2%), $427.9 million in FY2024 (+11.5%), $383.8 million in FY2023 (+13.8%) and $337.3 million in FY2022 (+14.8%).
- The fiscal Q1 2027 figure marks the lowest quarterly Depreciation and Depletion since fiscal Q3 2023.
- Compared with a year earlier, Depreciation and Depletion was higher in three of the last eight quarters, with an average decline of 2.4%.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q1 2023 (growth of 22.0%); the worst was fiscal Q3 2026 (a decline of 16.8%).
- Per Business Quant data, STZ's Depreciation and Depletion in the three fiscal quarters before Q1 2027 was $111.8 million (Q4 2026), $99 million (Q3 2026) and $102.7 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | - |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | - |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | - |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 208.00 Mn |
| 10 | Constellation Brands | 19.27 Bn | 18.85 Bn | 1.32 Bn | 97.60 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 97.60 Mn |
| Feb 28, 2026 | 111.80 Mn |
| Nov 30, 2025 | 99.00 Mn |
| Aug 31, 2025 | 102.70 Mn |
| May 31, 2025 | 105.20 Mn |
| Feb 28, 2025 | 105.90 Mn |
| Nov 30, 2024 | 119.00 Mn |
| Aug 31, 2024 | 109.20 Mn |
| May 31, 2024 | 111.60 Mn |
| Feb 29, 2024 | 106.10 Mn |
| Nov 30, 2023 | 108.10 Mn |
| Aug 31, 2023 | 108.40 Mn |
| May 31, 2023 | 105.30 Mn |
| Feb 28, 2023 | 105.40 Mn |
| Nov 30, 2022 | 94.90 Mn |
| Aug 31, 2022 | 90.80 Mn |
| May 31, 2022 | 92.70 Mn |
| Feb 28, 2022 | 88.70 Mn |
| Nov 30, 2021 | 86.30 Mn |
| Aug 31, 2021 | 86.30 Mn |
Constellation Brands Depreciation and Depletion 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=depreciation-and-depletion&ticker=STZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=STZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();