Diageo (DEO) Finished Goods (2009 - 2023)
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.
Diageo (DEO) Finished Goods (2009 - 2023) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn |
| 10 | Andina Bottling | 22.27 Bn | -1,308.77 Bn | 698.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 1.49 Bn |
| Jun 30, 2022 | 1.62 Bn |
| Dec 31, 2021 | 1.30 Bn |
| Jun 30, 2021 | 1.35 Bn |
| Dec 31, 2020 | 1.06 Bn |
| Jun 30, 2020 | 992.11 Mn |
| Dec 31, 2019 | 925.72 Mn |
| Jun 30, 2019 | 969.88 Mn |
| Dec 31, 2018 | 896.88 Mn |
| Jun 30, 2018 | 847.38 Mn |
| Dec 31, 2017 | 819.17 Mn |
| Jun 30, 2017 | 761.58 Mn |
| Dec 31, 2016 | 805.61 Mn |
| Jun 30, 2016 | 835.87 Mn |
| Dec 31, 2015 | 801.24 Mn |
| Jun 30, 2015 | 901.53 Mn |
| Dec 31, 2014 | 1.02 Bn |
| Jun 30, 2014 | 937.22 Mn |
| Dec 31, 2013 | 1.03 Bn |
| Jun 30, 2013 | 946.06 Mn |
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_KEY
import 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();