Diageo (DEO) Finished Goods (2014 - 2020)
Diageo (DEO) reported Finished Goods of $1.49 billion for fiscal Q4 2023 (quarter ended Jun 30, 2023), down 8.2% from $1.62 billion a year earlier.
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Analysis
Diageo (DEO) Finished Goods (2014 - 2020) Analysis & Trends
At the end of FY2023 (ended Jun 30, 2023), Diageo posted Finished Goods of $1.44 billion, down 16.4% from FY2022.
- Finished Goods has a five-year compound annual growth rate of 9.7% (FY2018 to FY2023).
- By fiscal year, Finished Goods came in at $1.72 billion in FY2022, $1.32 billion in FY2021 (+25.5%), $1.05 billion in FY2020 (+15.6%) and $907.14 million in FY2019 (+0.5%).
- The fiscal Q4 2023 figure ranks as the lowest quarterly Finished Goods since fiscal Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 415.05 Bn | 401.36 Bn | 8.45 Bn |
| 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 |
| 4 | Monster Beverage | 95.69 Bn | 83.94 Bn | 1.42 Bn |
| 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 |
| 8 | Ambev | 43.18 Bn | 27.99 Bn | 2.14 Bn |
| 9 | Constellation Brands | 25.00 Bn | 24.55 Bn | 1.39 Bn |
| 10 | Brown Forman | 14.15 Bn | 12.83 Bn | 549.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 983.61 Mn |
| Jun 30, 2019 | 955.88 Mn |
| Dec 31, 2018 | 884.74 Mn |
| Jun 30, 2018 | 813.27 Mn |
| Dec 31, 2017 | 829.30 Mn |
| Jun 30, 2017 | 775.47 Mn |
| Dec 31, 2016 | 796.26 Mn |
| Jun 30, 2015 | 926.61 Mn |
| Jun 30, 2014 | 948.80 Mn |
API Access
Diageo Finished Goods 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=finished-goods&ticker=DEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=DEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();