Diageo (DEO) Work In Process (2014 - 2017)
Diageo (DEO) posted Work In Process of $165.18 million for fiscal Q4 2023 (quarter ended Jun 30, 2023), up 52.5% from $108.3 million a year earlier.
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Analysis
Diageo (DEO) Work In Process (2014 - 2017) Analysis & Trends
At the end of FY2023 (ended Jun 30, 2023), Diageo's Work In Process came in at $159.02 million, up 38.8% from FY2022.
- Annual Work In Process shows a five-year compound annual growth rate of 21.8% (FY2018 to FY2023).
- In prior fiscal years, Diageo's Work In Process was $114.54 million in FY2022, $92.71 million in FY2021 (+34.0%), $69.2 million in FY2020 (-6.9%) and $74.34 million in FY2019.
- The fiscal Q4 2023 figure stands as the highest quarterly Work In Process in data going back to fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 401.64 Bn | 388.11 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.17 Bn | 198.17 Bn | 2.06 Bn |
| 3 | Pepsico | 185.20 Bn | 142.97 Bn | 13.75 Bn |
| 4 | Monster Beverage | 91.63 Bn | 79.88 Bn | 1.42 Bn |
| 5 | Diageo | 53.21 Bn | 33.28 Bn | - |
| 6 | Ambev | 51.46 Bn | 36.75 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.87 Bn | 43.54 Bn | - |
| 8 | Keurig Dr Pepper | 47.46 Bn | 43.50 Bn | 3.07 Bn |
| 9 | Constellation Brands | 23.55 Bn | 23.10 Bn | 1.39 Bn |
| 10 | Coca-Cola Consolidated | 13.91 Bn | 11.54 Bn | 778.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 61.83 Mn |
| Jun 30, 2017 | 58.55 Mn |
| Dec 31, 2016 | 54.07 Mn |
| Jun 30, 2015 | 103.83 Mn |
| Jun 30, 2014 | 100.50 Mn |
API Access
Diageo Work In Process 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=work-in-process&ticker=DEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=DEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();