Coca Cola Femsa Sab De Cv (KOF) Cash & Equivalents Growth (1y) (2010 - 2026)
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Analysis
Coca Cola Femsa Sab De Cv (KOF) Cash & Equivalents Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. Growth (1y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 41.07% |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | -30.91% |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | -97.91% |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 34.33% |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | 13.78% |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | 13.26% |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | -36.02% |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 198.04% |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 55.45% |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | 30.72% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -97.91% |
| Dec 31, 2025 | -73.45% |
| Jun 30, 2025 | 102,517.31% |
| Dec 31, 2024 | -7.66% |
| Sep 30, 2024 | 5,972.78% |
| Jun 30, 2024 | 65.38% |
| Mar 31, 2024 | -97.64% |
| Dec 31, 2023 | -13.52% |
| Jun 30, 2023 | -99.95% |
| Dec 31, 2022 | -10.17% |
| Dec 31, 2021 | 7.76% |
| Dec 31, 2020 | 98.72% |
| Jun 30, 2020 | 105.28% |
| Dec 31, 2019 | -11.24% |
| Sep 30, 2019 | 59.76% |
| Jun 30, 2019 | -27.92% |
| Mar 31, 2019 | -15.91% |
| Dec 31, 2018 | 21.22% |
| Sep 30, 2018 | -14.06% |
| Jun 30, 2018 | -6.75% |
API Access
Coca Cola Femsa Sab De Cv Cash & Equivalents Growth (1y) 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=cash-and-equivalents-growth-1y&ticker=KOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-growth-1y", "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=cash-and-equivalents-growth-1y&ticker=KOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();