Coca-Cola Europacific Partners (CCEP) Net Cash Flow (2016 - 2018)
Coca-Cola Europacific Partners (CCEP) recorded Net Cash Flow of -$642.86 million in FY2025, compared with $141.79 million in FY2024.
Analysis
Coca-Cola Europacific Partners (CCEP) Net Cash Flow (2016 - 2018) Analysis & Trends
Starting with FY2014, Coca-Cola Europacific Partners' Net Cash Flow history includes 12 years.
- The FY2025 figure is the lowest annual Net Cash Flow in data going back to FY2014.
- Per Business Quant data, CCEP's Net Cash Flow was $141.79 million in FY2024 (+178.9%), $50.84 million in FY2023 (+338.5%), $11.59 million in FY2022 and -$235.5 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 405.99 Bn | 392.30 Bn | 8.45 Bn | 974.00 Mn |
| 2 | Diageo | 220.59 Bn | 200.66 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 192.15 Bn | 192.15 Bn | 2.15 Bn | - |
| 4 | Pepsico | 190.53 Bn | 148.29 Bn | 13.75 Bn | 856.00 Mn |
| 5 | Monster Beverage | 88.34 Bn | 76.59 Bn | 1.42 Bn | 160.01 Mn |
| 6 | Coca-Cola Europacific Partners | 52.56 Bn | 45.23 Bn | - | - |
| 7 | Keurig Dr Pepper | 49.15 Bn | 45.19 Bn | 3.07 Bn | -17.00 Bn |
| 8 | Ambev | 43.34 Bn | 28.14 Bn | 2.14 Bn | 501.32 Mn |
| 9 | Constellation Brands | 24.11 Bn | 23.66 Bn | 1.39 Bn | 2.10 Mn |
| 10 | Brown Forman | 13.86 Bn | 12.55 Bn | 549.00 Mn | -4.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -200.89 Mn |
| Sep 28, 2018 | 137.23 Mn |
| Jun 29, 2018 | 148.06 Mn |
| Mar 31, 2018 | -141.28 Mn |
| Dec 31, 2017 | -129.52 Mn |
| Sep 29, 2017 | 196.14 Mn |
| Jun 30, 2017 | -58.28 Mn |
| Mar 31, 2017 | -22.37 Mn |
| Dec 31, 2016 | 39.95 Mn |
| Apr 30, 2016 | 101.77 Mn |
API Access
Coca-Cola Europacific Partners Net Cash Flow 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=net-cash-flow&ticker=CCEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=CCEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();