Coca Cola Femsa Sab De Cv (KOF) Exchange Rate Effect (2018 - 2019)
Coca Cola Femsa Sab De Cv's (KOF) quarterly Exchange Rate Effect came in at -$31.5 million in Q4 2019, down 224.77% on a YoY basis from $25.3 million in Q4 2018, and down 341.95% quarter-over-quarter from $13.0 million in Q3 2019.
Coca Cola Femsa Sab De Cv (KOF) Exchange Rate Effect (2018 - 2019) Analysis & Trends
Coca Cola Femsa Sab De Cv (KOF) has reported Exchange Rate Effect for 2 consecutive years, with -$31.5 million the latest figure, recorded in Q4 2019.
- For the quarter ending Q4 2019, Exchange Rate Effect fell 224.77% year-over-year to -$31.5 million; the trailing twelve-month figure through Dec 2019 stood at -$34.6 million (changed N/A YoY), and the FY2025 full-year result was -$124.0 million, down 211.71% from the prior year.
- Exchange Rate Effect declined to -$31.5 million in Q4 2019 per KOF's latest filing, from $13.0 million in the prior quarter.
- Across five years, Exchange Rate Effect topped out at $25.3 million in Q4 2018 and bottomed at -$31.5 million in Q4 2019.
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
| Date | Value |
|---|---|
| Dec 31, 2019 | -31.53 Mn |
| Sep 30, 2019 | 13.03 Mn |
| Dec 31, 2018 | 25.27 Mn |
Coca Cola Femsa Sab De Cv 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=KOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "KOF", "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=KOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();