Andina Bottling (AKO-A) Total Non-Current Liabilities (2009 - 2026)
Andina Bottling (AKO-A) posted Total Non-Current Liabilities of $1.52 trillion for Q2 2026, compared with $47.72 billion a year earlier and up 1.0% from the prior quarter.
Andina Bottling (AKO-A) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Andina Bottling's Total Non-Current Liabilities came in at $1.66 billion, up 20.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Andina Bottling's Total Non-Current Liabilities was $1.38 billion in FY2024 (-6.7%), $1.48 billion in FY2023 (+7.4%), $1.38 billion in FY2022 (-10.9%) and $1.54 billion in FY2021 (-11.3%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q1 2009.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2025, with growth of 20.3%; the weakest was Q1 2023, with a decline of 99.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.5 trillion (Q1 2026), $1.66 billion (Q4 2025) and $1.51 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 412.64 Bn | 398.95 Bn | 8.45 Bn | 63.74 Bn |
| 2 | Pepsico | 194.97 Bn | 152.73 Bn | 13.75 Bn | 81.29 Bn |
| 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 | 1.87 Bn |
| 5 | Diageo | 55.80 Bn | 35.87 Bn | - | 23.16 Bn |
| 6 | Coca-Cola Europacific Partners | 53.52 Bn | 46.19 Bn | - | 16.43 Bn |
| 7 | Keurig Dr Pepper | 50.17 Bn | 46.21 Bn | 3.07 Bn | 384.00 Mn |
| 8 | Ambev | 43.73 Bn | 28.53 Bn | 2.14 Bn | 1.81 Bn |
| 9 | Constellation Brands | 24.63 Bn | 24.18 Bn | 1.39 Bn | - |
| 10 | Andina Bottling | 3.94 Bn | -1,176.77 Bn | 1.06 Bn | 1,652.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1,652.60 Bn |
| Jun 30, 2026 | 1,515.05 Bn |
| Mar 31, 2026 | 1,499.41 Bn |
| Dec 31, 2025 | 1.66 Bn |
| Sep 30, 2025 | 1,511.36 Bn |
| Jun 30, 2025 | 47.72 Bn |
| Mar 31, 2025 | 48.72 Bn |
| Dec 31, 2024 | 1.38 Bn |
| Sep 30, 2024 | 43.59 Bn |
| Jun 30, 2024 | 39.09 Bn |
| Mar 31, 2024 | 13.44 Bn |
| Dec 31, 2023 | 1.48 Bn |
| Sep 30, 2023 | 26.25 Bn |
| Jun 30, 2023 | 32.24 Bn |
| Mar 31, 2023 | 13.24 Bn |
| Dec 31, 2022 | 1.38 Bn |
| Sep 30, 2022 | 1,494.58 Bn |
| Mar 31, 2022 | 1,308.23 Bn |
| Dec 31, 2021 | 1.54 Bn |
| Mar 31, 2021 | 1,236.71 Bn |
Andina Bottling Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AKO-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AKO-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();