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 18.91 in Q4 2025, up 8.5% from 17.44 a year earlier.
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Analysis
Coca Cola Femsa Sab De Cv (KOF) Price to Book (2013 - 2025) Analysis & Trends
For FY2025, Coca Cola Femsa Sab De Cv's Price to Book came in at 19.60, up 23.9% from FY2024.
- Across earlier years, Price to Book came in at 15.83 in FY2024 (-25.2%), 21.16 in FY2023 (+19.3%), 17.74 in FY2022 (+21.3%) and 14.63 in FY2021 (-21.0%).
- 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 | 395.88 Bn | 382.35 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.23 Bn | 193.23 Bn | 2.06 Bn |
| 3 | Pepsico | 175.01 Bn | 132.78 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.58 Bn | 76.83 Bn | 1.42 Bn |
| 5 | Diageo | 52.19 Bn | 32.26 Bn | - |
| 6 | Ambev | 50.76 Bn | 36.05 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.08 Bn | 42.75 Bn | - |
| 8 | Keurig Dr Pepper | 46.27 Bn | 42.32 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.06 Bn | 21.61 Bn | 1.39 Bn |
| 10 | Coca-Cola Consolidated | 13.59 Bn | 11.23 Bn | 778.41 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();