Coca-Cola Europacific Partners (CCEP) Exchange Rate Effect (2016 - 2018)
Coca-Cola Europacific Partners' (CCEP) quarterly Exchange Rate Effect came in at -$1.1 million in Q4 2018, up 67.69% year-over-year from -$680671.4 in Q4 2017, and up 67.69% quarter-over-quarter from -$3.5 million in Q4 2017.
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Analysis
Coca-Cola Europacific Partners (CCEP) Exchange Rate Effect (2016 - 2018) Analysis & Trends
Coca-Cola Europacific Partners (CCEP) has reported Exchange Rate Effect for 3 consecutive years, with -$1.1 million the latest figure, recorded in Q4 2018.
- On a quarterly basis, Exchange Rate Effect rose 67.69% year-over-year to -$1.1 million in Q4 2018; TTM through Dec 2018 was -$4.7 million, a 53.7% increase from a year earlier, with the FY2025 full-year figure at -$88.5 million, down 728.75% from the prior year.
- Exchange Rate Effect was -$1.1 million for Q4 2018 at Coca-Cola Europacific Partners, up from -$3.5 million in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $2.2 million in Q4 2016 and troughed at -$5.5 million in Q2 2017.
- A 3-year average of -$2.1 million and a median of -$2.2 million in 2018 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect sank 263.57% in 2017 and jumped 67.69% in 2018, its largest moves.
- Over 3 years, Exchange Rate Effect stood at $2.2 million in 2016, then plunged by 263.57% to -$3.5 million in 2017, then jumped by 67.69% to -$1.1 million in 2018.
- The last three Exchange Rate Effect figures came in at -$1.1 million (Q4 2018), -$3.5 million (Q4 2017), and -$5.5 million (Q2 2017), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | -1.00 Mn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | - |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 148.00 Mn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | -7.28 Mn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | -152.65 Mn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | -164.00 Mn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 10.53 Mn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | -400,000.00 |
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();