Diageo (DEO) Depreciation & Amortization (CF) (2011 - 2014)
Diageo's Depreciation & Amortization (CF) was $2.48 billion in FY2026 (year ended Jun 30, 2026), up 44.4% from $1.72 billion in FY2025.
Analysis
Diageo (DEO) Depreciation & Amortization (CF) (2011 - 2014) Analysis & Trends
From FY2009 onward, Diageo has reported Depreciation & Amortization (CF) for 18 fiscal years.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 52.0% (FY2021 to FY2026).
- The FY2026 figure marks the highest annual Depreciation & Amortization (CF) in data going back to FY2009.
- Per Business Quant data, Depreciation & Amortization (CF) in earlier fiscal years was $1.72 billion in FY2025 (+248.5%), $493 million in FY2024 (-62.0%), $1.3 billion in FY2023 and $330.51 million in FY2022 (+8.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 415.05 Bn | 401.36 Bn | 8.45 Bn | 253.00 Mn |
| 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 | 892.00 Mn |
| 4 | Monster Beverage | 95.69 Bn | 83.94 Bn | 1.42 Bn | 29.78 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 | 208.00 Mn |
| 8 | Ambev | 43.18 Bn | 27.99 Bn | 2.14 Bn | 328.66 Mn |
| 9 | Constellation Brands | 25.00 Bn | 24.55 Bn | 1.39 Bn | 96.80 Mn |
| 10 | Brown Forman | 14.15 Bn | 12.83 Bn | 549.00 Mn | 23.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 1.30 Bn |
| Dec 31, 2012 | 660.01 Mn |
| Dec 31, 2011 | 553.19 Mn |
API Access
Diageo Depreciation & Amortization (CF) 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-amortization-cf&ticker=DEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "DEO", "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-amortization-cf&ticker=DEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();