Coca Cola Femsa Sab De Cv (KOF) Exchange Rate Effect (2018 - 2019)
Coca Cola Femsa Sab De Cv (KOF) reported Exchange Rate Effect of -$116.33 million for FY2025, compared with $126.97 million in FY2024.
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Analysis
Coca Cola Femsa Sab De Cv (KOF) Exchange Rate Effect (2018 - 2019) Analysis & Trends
Dating back to FY2011, Coca Cola Femsa Sab De Cv's Exchange Rate Effect record includes 15 years.
- Five-year annual Exchange Rate Effect spans a low of -$287.03 million in FY2023 and a high of $126.97 million in FY2024.
- According to Business Quant data, Exchange Rate Effect came in at $126.97 million in FY2024, -$287.03 million in FY2023, -$100.4 million in FY2022 and $41.45 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 415.05 Bn | 401.36 Bn | 8.45 Bn | -50.00 Mn |
| 2 | Coca Cola Femsa Sab De Cv | 195.63 Bn | 195.63 Bn | 2.15 Bn | - |
| 3 | Pepsico | 194.97 Bn | 152.73 Bn | 13.75 Bn | -431.00 Mn |
| 4 | Monster Beverage | 95.69 Bn | 83.94 Bn | 1.42 Bn | -7.28 Mn |
| 5 | Diageo | 54.44 Bn | 34.51 Bn | - | - |
| 6 | Coca-Cola Europacific Partners | 53.15 Bn | 45.82 Bn | - | - |
| 7 | Keurig Dr Pepper | 50.27 Bn | 46.32 Bn | 3.07 Bn | -164.00 Mn |
| 8 | Ambev | 43.18 Bn | 27.99 Bn | 2.14 Bn | - |
| 9 | Constellation Brands | 25.00 Bn | 24.55 Bn | 1.39 Bn | -200,000.00 |
| 10 | Brown Forman | 14.15 Bn | 12.83 Bn | 549.00 Mn | -3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -31.53 Mn |
| Sep 30, 2019 | 13.03 Mn |
| Dec 31, 2018 | 25.27 Mn |
API Access
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_KEYimport 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();