Coca-Cola Europacific Partners (CCEP) Return on Capital Employed [ROCE] (2017 - 2018)
Coca-Cola Europacific Partners' Return on Capital Employed [ROCE] came in at 12.72% for FY2025, up 3.06 percentage points from 9.66% in FY2024.
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Analysis
Coca-Cola Europacific Partners (CCEP) Return on Capital Employed [ROCE] (2017 - 2018) Analysis & Trends
Going back to FY2015, Coca-Cola Europacific Partners' Return on Capital Employed [ROCE] data covers 11 years.
- Return on Capital Employed [ROCE] carries a five-year change of +7.32 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Return on Capital Employed [ROCE] since FY2015.
- Per Business Quant, earlier years put Return on Capital Employed [ROCE] at 9.66% in FY2024 (-0.99 pp), 10.65% in FY2023 (+1.60 pp), 9.05% in FY2022 (+0.66 pp) and 8.38% in FY2021 (+2.99 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn | 18.32% |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn | 19.41% |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn | - |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn | 28.61% |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn | 5.38% |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | 23.26% |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | 14.56% |
| 10 | Brown Forman | 14.04 Bn | 12.73 Bn | 549.00 Mn | 14.94% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 9.08% |
| Sep 28, 2018 | 8.94% |
| Jun 29, 2018 | 8.29% |
| Mar 31, 2018 | 7.88% |
| Dec 31, 2017 | 7.93% |
| Sep 29, 2017 | 8.26% |
| Jun 30, 2017 | 8.58% |
| Mar 31, 2017 | 6.50% |
API Access
Coca-Cola Europacific Partners Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CCEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CCEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();