Andina Bottling (AKO-A) Receivables (2009 - 2026)
Andina Bottling (AKO-A) recorded Receivables of $259.83 billion in the quarter ended Jun 30, 2026, up 1.8% from $255.24 billion a year earlier but down 14.2% from the prior quarter.
Andina Bottling (AKO-A) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Andina Bottling reported Receivables of $355.08 billion, up 5.7% from the prior year.
- Annual Receivables has a five-year compound annual growth rate of 341.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $336.02 billion in the year ended Dec 31, 2024, $479.42 million in the year ended Dec 31, 2023 (-96.9%), $15.6 billion in the year ended Dec 31, 2022 and $225.41 million in the year ended Dec 31, 2021 (+6.2%).
- Quarterly Receivables has ranged from $225.41 million in the quarter ended Dec 31, 2021 to $355.08 billion in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Receivables has increased for three consecutive quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 44.7% in the quarter ended Mar 31, 2022, against a decline of 96.9% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $302.87 billion (quarter ended Mar 31, 2026), $355.08 billion (quarter ended Dec 31, 2025) and $282.81 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 3.73 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.50 Bn | 193.50 Bn | 2.06 Bn | - |
| 3 | Pepsico | 175.26 Bn | 133.02 Bn | 13.75 Bn | 13.62 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 1.90 Bn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | 3.57 Bn |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | 1.07 Bn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | 3.27 Bn |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 2.42 Bn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | 678.10 Mn |
| 10 | Andina Bottling | 3.77 Bn | -985.14 Bn | 698.26 Mn | 8.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.22 Bn |
| Mar 31, 2026 | 10.98 Bn |
| Dec 31, 2025 | 377.56 Mn |
| Sep 30, 2025 | 5.10 Bn |
| Jun 30, 2025 | 252.35 Bn |
| Mar 31, 2025 | 282.56 Bn |
| Dec 31, 2024 | 627.99 Mn |
| Sep 30, 2024 | 262.06 Bn |
| Jun 30, 2024 | 228.32 Bn |
| Mar 31, 2024 | 277.53 Bn |
| Dec 31, 2023 | 445.89 Mn |
| Sep 30, 2023 | 248.96 Bn |
| Jun 30, 2023 | 214.14 Bn |
| Mar 31, 2023 | 236.30 Bn |
| Dec 31, 2022 | 436.15 Mn |
| Sep 30, 2022 | 255.86 Bn |
| Jun 30, 2022 | 245.95 Bn |
| Mar 31, 2022 | 274.88 Bn |
| Dec 31, 2021 | 410.73 Mn |
| Sep 30, 2021 | 200.73 Bn |
Andina Bottling Receivables 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=receivables&ticker=AKO-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AKO-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();