Diageo (DEO) Depreciation & Amortization (CF) (2018 - 2020)
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.
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Analysis
Diageo (DEO) Depreciation & Amortization (CF) (2018 - 2020) 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 | 370.54 Bn | 359.17 Bn | 8.42 Bn | 266.00 Mn |
| 2 | Diageo | 205.37 Bn | 197.77 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 177.39 Bn | 177.39 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.43 Bn | 131.87 Bn | 13.11 Bn | 897.00 Mn |
| 5 | Anheuser-Busch InBev | 131.23 Bn | 99.97 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 82.55 Bn | 70.80 Bn | 1.42 Bn | 29.78 Mn |
| 7 | Ambev | 45.71 Bn | 31.73 Bn | 2.06 Bn | 302.51 Mn |
| 8 | Coca-Cola Europacific Partners | 45.26 Bn | 38.51 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.76 Bn | 42.00 Bn | 3.07 Bn | 208.00 Mn |
| 10 | Andina Bottling | 22.27 Bn | -1,308.77 Bn | 698.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 4.14 Bn |
| Jun 30, 2019 | 3.80 Bn |
| Jun 30, 2018 | 3.66 Bn |
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_KEYimport 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();