Diageo (DEO) Debt Ratio (2009 - 2026)
Diageo's (DEO) Debt Ratio came in at -0.41 for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -0.43 a year earlier.
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Analysis
Diageo (DEO) Debt Ratio (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Diageo has reported Debt Ratio for 27 quarters.
- In prior fiscal years, Diageo's Debt Ratio was -0.43 in FY2025, -0.42 in FY2024, -0.41 in FY2023 and -0.41 in FY2022.
- Quarterly Debt Ratio has run from a low of -0.43 in fiscal Q4 2025 to a high of -0.36 in fiscal Q2 2022 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 407.02 Bn | 393.49 Bn | 8.42 Bn | 0.40 |
| 2 | Coca Cola Femsa Sab De Cv | 197.99 Bn | 197.99 Bn | 2.06 Bn | - |
| 3 | Pepsico | 187.80 Bn | 145.56 Bn | 13.75 Bn | 0.46 |
| 4 | Monster Beverage | 91.84 Bn | 80.09 Bn | 1.42 Bn | - |
| 5 | Diageo | 53.17 Bn | 33.24 Bn | - | 0.49 |
| 6 | Ambev | 51.69 Bn | 36.98 Bn | 2.06 Bn | 0.04 |
| 7 | Coca-Cola Europacific Partners | 51.57 Bn | 44.24 Bn | - | 0.36 |
| 8 | Keurig Dr Pepper | 47.65 Bn | 43.69 Bn | 3.07 Bn | 0.34 |
| 9 | Constellation Brands | 23.34 Bn | 22.89 Bn | 1.39 Bn | 0.47 |
| 10 | Coca-Cola Consolidated | 14.09 Bn | 11.72 Bn | 778.41 Mn | 0.57 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.49 |
| Dec 31, 2025 | 0.47 |
| Jun 30, 2025 | 0.51 |
| Dec 31, 2024 | 0.47 |
| Jun 30, 2024 | 0.51 |
| Dec 31, 2023 | 0.47 |
| Jun 30, 2023 | 0.50 |
| Dec 31, 2022 | 0.51 |
| Jun 30, 2022 | 0.48 |
| Dec 31, 2021 | 0.47 |
| Jun 30, 2021 | 0.55 |
| Dec 31, 2020 | 0.48 |
| Jun 30, 2020 | 0.59 |
| Dec 31, 2019 | 0.44 |
| Jun 30, 2019 | 0.42 |
| Dec 31, 2018 | 0.38 |
| Jun 30, 2018 | 0.36 |
| Dec 31, 2017 | 0.34 |
| Jun 30, 2017 | 0.33 |
| Dec 31, 2016 | -0.25 |
API Access
Diageo Debt Ratio 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=debt-ratio&ticker=DEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=DEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();