Andina Bottling (AKO-A) Total Non-Current Liabilities (2009 - 2026)
Andina Bottling (AKO-A) posted Total Non-Current Liabilities of $1.52 trillion for the quarter ended Jun 30, 2026, up 1.0% from the prior quarter.
Andina Bottling (AKO-A) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Andina Bottling's Total Non-Current Liabilities came in at $1.49 trillion, up 9.0% from the prior year.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 8.2% (years ended Dec 2022 to Dec 2025).
- In prior years, Andina Bottling's Total Non-Current Liabilities was $1.37 trillion in the year ended Dec 31, 2024 (+4.8%), $1.31 trillion in the year ended Dec 31, 2023 (+11.0%) and $1.18 trillion in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Total Non-Current Liabilities in data going back to the quarter ended Mar 31, 2009.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.5 trillion (quarter ended Mar 31, 2026), $1.49 trillion (quarter ended Dec 31, 2025) and $1.51 trillion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.83 Bn | 382.30 Bn | 8.42 Bn | 64.98 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.51 Bn | 193.51 Bn | 2.06 Bn | - |
| 3 | Pepsico | 175.42 Bn | 133.18 Bn | 13.75 Bn | 81.29 Bn |
| 4 | Monster Beverage | 88.66 Bn | 76.91 Bn | 1.42 Bn | 1.87 Bn |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | 23.16 Bn |
| 6 | Ambev | 50.76 Bn | 36.05 Bn | 2.06 Bn | 1.87 Bn |
| 7 | Coca-Cola Europacific Partners | 50.09 Bn | 42.76 Bn | - | 16.43 Bn |
| 8 | Keurig Dr Pepper | 46.34 Bn | 42.38 Bn | 3.07 Bn | 384.00 Mn |
| 9 | Constellation Brands | 22.12 Bn | 21.67 Bn | 1.39 Bn | - |
| 10 | Andina Bottling | 3.77 Bn | -985.14 Bn | 698.26 Mn | 1,515.05 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 | 1,291.60 Bn |
| Jun 30, 2023 | 1,133.49 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 |
| Dec 31, 2020 | 1.74 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();