Coca-Cola Europacific Partners (CCEP) Other Operating Expenses (2016 - 2017)
Coca-Cola Europacific Partners (CCEP) reported Other Operating Expenses of $117.5 million for the year ended Dec 31, 2025.
Powered by 
Analysis
Coca-Cola Europacific Partners (CCEP) Other Operating Expenses (2016 - 2017) Analysis & Trends
Dating back to the year ended Dec 31, 2017, Coca-Cola Europacific Partners' Other Operating Expenses record includes 8 years.
- The figure for the year ended Dec 31, 2025 ranks as the highest annual Other Operating Expenses since the year ended Dec 31, 2021.
- According to Business Quant data, Other Operating Expenses came in at $115.74 million in the year ended Dec 31, 2023 (+14.4%), $101.18 million in the year ended Dec 31, 2022 (-98.3%) and $5.96 billion in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 396.95 Bn | 383.42 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 195.85 Bn | 195.85 Bn | 2.06 Bn |
| 3 | Pepsico | 177.24 Bn | 135.00 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.63 Bn | 76.88 Bn | 1.42 Bn |
| 5 | Diageo | 52.38 Bn | 32.44 Bn | - |
| 6 | Ambev | 51.15 Bn | 36.44 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.07 Bn | 42.74 Bn | - |
| 8 | Keurig Dr Pepper | 46.09 Bn | 42.13 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.17 Bn | 21.72 Bn | 1.39 Bn |
| 10 | Coca-Cola Consolidated | 13.92 Bn | 11.55 Bn | 778.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2017 | 1.15 Bn |
| Mar 31, 2017 | 954.60 Mn |
| Sep 30, 2016 | 1.19 Bn |
API Access
Coca-Cola Europacific Partners Other Operating Expenses 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=other-operating-expenses&ticker=CCEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=CCEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();