Coca Cola Femsa Sab De Cv (KOF) Price to Book (2013 - 2025)
Coca Cola Femsa Sab De Cv's (KOF) Price to Book stood at 19.57 in Q4 2025, up 3.9% from 18.83 a year earlier.
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Analysis
Coca Cola Femsa Sab De Cv (KOF) Price to Book (2013 - 2025) Analysis & Trends
Starting with Q4 2013, Coca Cola Femsa Sab De Cv's Price to Book history includes 31 quarters.
- Across earlier years, Price to Book came in at 18.83 in FY2024 (-11.3%), 21.23 in FY2023 (+19.9%), 17.70 in FY2022 (+14.2%) and 15.50 in FY2021 (-20.2%).
- The Q4 2025 figure is the highest quarterly Price to Book since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn |
| 10 | Brown Forman | 14.04 Bn | 12.73 Bn | 549.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 19.57 |
| Dec 31, 2024 | 18.83 |
| Dec 31, 2023 | 21.23 |
| Dec 31, 2022 | 17.70 |
| Dec 31, 2021 | 15.50 |
| Dec 31, 2020 | 19.41 |
| Jun 30, 2020 | 20.86 |
| Dec 31, 2019 | 23.08 |
| Sep 30, 2019 | 130.77 |
| Jun 30, 2019 | 124.11 |
| Dec 31, 2018 | 121.98 |
| Sep 30, 2018 | 21.71 |
| Jun 30, 2018 | 20.74 |
| Mar 31, 2018 | 23.16 |
| Dec 31, 2017 | 24.06 |
| Sep 30, 2017 | 25.54 |
| Jun 30, 2017 | 29.71 |
| Mar 31, 2017 | 25.25 |
| Dec 31, 2016 | 25.20 |
| Sep 30, 2016 | 20.24 |
API Access
Coca Cola Femsa Sab De Cv Price to Book 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=price-to-book&ticker=KOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=KOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();