Coca-Cola Europacific Partners (CCEP) Selling, General & Administrative (2016 - 2025)
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Analysis
Coca-Cola Europacific Partners (CCEP) Selling, General & Administrative (2016 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | - |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | - |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | -300.94 Mn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | 457.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.63 Bn |
| Dec 31, 2024 | -1.85 Bn |
| Dec 31, 2023 | -1.41 Bn |
| Dec 31, 2022 | -1.28 Bn |
| Dec 31, 2021 | -1.23 Bn |
| Dec 31, 2020 | -1.17 Bn |
| Dec 31, 2019 | -871.12 Mn |
| Dec 31, 2018 | -1.12 Bn |
| Sep 28, 2018 | -250.03 Mn |
| Jun 29, 2018 | -267.46 Mn |
| Mar 31, 2018 | -239.56 Mn |
| Dec 31, 2017 | -1.07 Bn |
| Sep 29, 2017 | -250.17 Mn |
| Jun 30, 2017 | -255.10 Mn |
| Mar 31, 2017 | -214.15 Mn |
| Dec 31, 2016 | -1.17 Bn |
| Sep 30, 2016 | -284.63 Mn |
| Apr 30, 2016 | -202.43 Mn |
API Access
Coca-Cola Europacific Partners Selling, General & Administrative 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=selling-general-and-administrative&ticker=CCEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "CCEP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=CCEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();