Diageo (DEO) Non Operating Interest Expenses (2011 - 2013)
Diageo (DEO) posted Non Operating Interest Expenses of $1.2 billion for FY2026 (year ended Jun 30, 2026), down 4.1% from $1.25 billion in FY2025.
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Analysis
Diageo (DEO) Non Operating Interest Expenses (2011 - 2013) Analysis & Trends
Since FY2009, Diageo has reported Non Operating Interest Expenses for 18 fiscal years.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 23.2% (FY2021 to FY2026).
- The FY2026 figure stands as the lowest annual Non Operating Interest Expenses since FY2023.
- Business Quant data shows DEO's Non Operating Interest Expenses at $1.25 billion in FY2025 (-2.6%), $1.29 billion in FY2024 (+14.6%), $1.12 billion in FY2023 and $645.74 million in FY2022 (+52.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 409.49 Bn | 395.97 Bn | 8.42 Bn | 369.00 Mn |
| 2 | Coca Cola Femsa Sab De Cv | 197.68 Bn | 197.68 Bn | 2.06 Bn | 130.59 Mn |
| 3 | Pepsico | 189.08 Bn | 146.84 Bn | 13.75 Bn | 242.00 Mn |
| 4 | Monster Beverage | 92.47 Bn | 80.72 Bn | 1.42 Bn | - |
| 5 | Diageo | 53.62 Bn | 33.69 Bn | - | - |
| 6 | Coca-Cola Europacific Partners | 52.06 Bn | 44.73 Bn | - | - |
| 7 | Ambev | 51.93 Bn | 37.22 Bn | 2.06 Bn | -180.13 Mn |
| 8 | Keurig Dr Pepper | 47.89 Bn | 43.93 Bn | 3.07 Bn | - |
| 9 | Constellation Brands | 23.66 Bn | 23.21 Bn | 1.39 Bn | - |
| 10 | Coca-Cola Consolidated | 14.28 Bn | 11.91 Bn | 778.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 651.18 Mn |
| Dec 31, 2012 | -960.31 Mn |
| Dec 31, 2011 | -925.65 Mn |
API Access
Diageo Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=DEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=DEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();