Coca-Cola Europacific Partners (CCEP) Exchange Rate Effect (2016 - 2018)
Coca-Cola Europacific Partners' Exchange Rate Effect was -$85.87 million in the year ended Dec 31, 2025, compared with $14.07 million a year earlier.
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Analysis
Coca-Cola Europacific Partners (CCEP) Exchange Rate Effect (2016 - 2018) Analysis & Trends
From the year ended Dec 31, 2014 onward, Coca-Cola Europacific Partners has reported Exchange Rate Effect for 12 years.
- The figure for the year ended Dec 31, 2025 marks the lowest annual Exchange Rate Effect in data going back to the year ended Dec 31, 2014.
- Per Business Quant data, Exchange Rate Effect in earlier years was $14.07 million in the year ended Dec 31, 2024, -$16.23 million in the year ended Dec 31, 2023, -$32.67 million in the year ended Dec 31, 2022 and $98.22 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 412.98 Bn | 401.46 Bn | 8.45 Bn | -50.00 Mn |
| 2 | Diageo | 237.65 Bn | 219.80 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 195.53 Bn | 195.53 Bn | 2.15 Bn | - |
| 4 | Pepsico | 194.08 Bn | 152.04 Bn | 13.75 Bn | -431.00 Mn |
| 5 | Monster Beverage | 95.50 Bn | 83.75 Bn | 1.42 Bn | -7.28 Mn |
| 6 | Coca-Cola Europacific Partners | 52.02 Bn | 45.24 Bn | - | - |
| 7 | Keurig Dr Pepper | 50.06 Bn | 50.30 Bn | 3.07 Bn | -164.00 Mn |
| 8 | Ambev | 43.66 Bn | 28.57 Bn | 2.14 Bn | - |
| 9 | Constellation Brands | 24.61 Bn | 24.16 Bn | 1.39 Bn | -200,000.00 |
| 10 | Brown Forman | 14.09 Bn | 12.77 Bn | 549.00 Mn | -3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -1.14 Mn |
| Dec 31, 2017 | -3.53 Mn |
| Jun 30, 2017 | -5.50 Mn |
| Mar 31, 2017 | -1.07 Mn |
| Dec 31, 2016 | 2.16 Mn |
| Apr 30, 2016 | -3.36 Mn |
API Access
Coca-Cola Europacific Partners Exchange Rate Effect 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=exchange-rate-effect&ticker=CCEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=CCEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();