Coca Cola Femsa Sab De Cv (KOF) Long-Term Debt Repayments (2009 - 2019)
Coca Cola Femsa Sab De Cv (KOF) reported Long-Term Debt Repayments of $163.86 million for FY2025, compared with $1.54 million in FY2024.
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Analysis
Coca Cola Femsa Sab De Cv (KOF) Long-Term Debt Repayments (2009 - 2019) Analysis & Trends
Dating back to FY2011, Coca Cola Femsa Sab De Cv's Long-Term Debt Repayments record includes 15 years.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -40.9% (FY2020 to FY2025).
- Five-year annual Long-Term Debt Repayments spans a low of $1.54 million in FY2024 and a high of $700.1 million in FY2021.
- According to Business Quant data, Long-Term Debt Repayments came in at $1.54 million in FY2024 (-99.7%), $474.3 million in FY2023 (+13.1%), $419.52 million in FY2022 (-40.1%) and $700.1 million in FY2021 (-69.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 412.64 Bn | 398.95 Bn | 8.45 Bn | 1.61 Bn |
| 2 | Pepsico | 194.97 Bn | 152.73 Bn | 13.75 Bn | 107.00 Mn |
| 3 | Coca Cola Femsa Sab De Cv | 193.06 Bn | 193.06 Bn | 2.15 Bn | - |
| 4 | Monster Beverage | 93.56 Bn | 81.81 Bn | 1.42 Bn | - |
| 5 | Diageo | 55.80 Bn | 35.87 Bn | - | - |
| 6 | Coca-Cola Europacific Partners | 53.52 Bn | 46.19 Bn | - | - |
| 7 | Keurig Dr Pepper | 50.17 Bn | 46.21 Bn | 3.07 Bn | 784.00 Mn |
| 8 | Ambev | 43.73 Bn | 28.53 Bn | 2.14 Bn | - |
| 9 | Constellation Brands | 24.63 Bn | 24.18 Bn | 1.39 Bn | 1.00 Mn |
| 10 | Brown Forman | 14.21 Bn | 12.90 Bn | 549.00 Mn | 343.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 247.89 Mn |
| Sep 30, 2019 | 549.35 Mn |
| Dec 31, 2018 | 588.49 Mn |
| Dec 31, 2009 | -190.03 Mn |
| Sep 30, 2009 | -222.75 Mn |
API Access
Coca Cola Femsa Sab De Cv Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=KOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=KOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();