Andina Bottling (AKO-A) Long-Term Debt Repayments (2010 - 2016)
Andina Bottling's Long-Term Debt Repayments came in at $108.93 million for FY2025, up 28.5% from $84.75 million in FY2024.
Analysis
Andina Bottling (AKO-A) Long-Term Debt Repayments (2010 - 2016) Analysis & Trends
Going back to FY2009, Andina Bottling's Long-Term Debt Repayments data covers 17 years.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- The five-year range for annual Long-Term Debt Repayments is $1.05 million (FY2021) to $427.27 million (FY2023).
- Per Business Quant, earlier years put Long-Term Debt Repayments at $84.75 million in FY2024 (-80.2%), $427.27 million in FY2023, $35.52 million in FY2022 and $1.05 million in FY2021 (-96.7%).
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 | Andina Bottling | 3.94 Bn | -1,176.77 Bn | 1.06 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | -1.28 Mn |
| Mar 31, 2015 | 1.06 Mn |
| Jun 30, 2014 | -1.73 Bn |
| Mar 31, 2014 | -872.84 Mn |
| Dec 31, 2013 | -2.20 Bn |
| Sep 30, 2013 | -24,975.00 |
| Mar 31, 2011 | -15.12 Bn |
| Mar 31, 2010 | 479.78 Mn |
API Access
Andina Bottling 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=AKO-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AKO-A", "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=AKO-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();