Coca-Cola Europacific Partners (CCEP) EPS (Diluted) (2016 - 2018)
Coca-Cola Europacific Partners' EPS (Diluted) came in at $4.81 for FY2025, up 44.5% from $3.33 in FY2024.
Powered by 
Analysis
Coca-Cola Europacific Partners (CCEP) EPS (Diluted) (2016 - 2018) Analysis & Trends
Going back to FY2015, Coca-Cola Europacific Partners' EPS (Diluted) data covers 11 years.
- EPS (Diluted) carries a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual EPS (Diluted) in data going back to FY2015.
- Per Business Quant, earlier years put EPS (Diluted) at $3.33 in FY2024 (-15.4%), $3.93 in FY2023 (+13.3%), $3.47 in FY2022 (+36.5%) and $2.54 in FY2021 (+103.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.82 Bn | 400.30 Bn | 8.45 Bn | 0.93 |
| 2 | Diageo | 243.85 Bn | 226.00 Bn | - | - |
| 3 | Pepsico | 194.48 Bn | 152.43 Bn | 13.75 Bn | 2.23 |
| 4 | Coca Cola Femsa Sab De Cv | 192.50 Bn | 192.50 Bn | 2.15 Bn | 0.00 |
| 5 | Monster Beverage | 93.70 Bn | 81.95 Bn | 1.42 Bn | 0.30 |
| 6 | Coca-Cola Europacific Partners | 52.67 Bn | 45.89 Bn | - | - |
| 7 | Keurig Dr Pepper | 50.20 Bn | 50.44 Bn | 3.07 Bn | 0.10 |
| 8 | Ambev | 44.13 Bn | 29.04 Bn | 2.14 Bn | 0.05 |
| 9 | Constellation Brands | 24.46 Bn | 24.01 Bn | 1.39 Bn | 3.32 |
| 10 | Brown Forman | 14.21 Bn | 12.90 Bn | 549.00 Mn | 0.38 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 0.31 |
| Sep 28, 2018 | 0.85 |
| Jun 29, 2018 | 0.72 |
| Mar 31, 2018 | 0.31 |
| Dec 31, 2017 | -0.15 |
| Sep 29, 2017 | 0.93 |
| Jun 30, 2017 | 0.85 |
| Mar 31, 2017 | 0.41 |
| Dec 31, 2016 | 0.42 |
| Sep 30, 2016 | 1.55 |
| Apr 30, 2016 | 0.28 |
API Access
Coca-Cola Europacific Partners EPS (Diluted) 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=eps-diluted&ticker=CCEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CCEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();