Andina Bottling (AKO-B) Operating Expenses (2009 - 2026)
Andina Bottling (AKO-B) reported Operating Expenses of -$5.23 billion for the quarter ended Jun 30, 2026, compared with -$3.35 billion a year earlier.
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Andina Bottling (AKO-B) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Andina Bottling's Operating Expenses came in at -$16.56 billion; for the year ended Dec 31, 2025, it came in at -$674.25 billion.
- By year, Operating Expenses came in at -$680.46 billion in the year ended Dec 31, 2024, -$539.14 billion in the year ended Dec 31, 2023, -$436.63 billion in the year ended Dec 31, 2022 and -$355.34 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Operating Expenses since the quarter ended Sep 30, 2024.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$2.64 billion (quarter ended Mar 31, 2026), -$4.79 billion (quarter ended Dec 31, 2025) and -$3.9 billion (quarter ended Sep 30, 2025).
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.09 Bn |
| Jun 30, 2026 | 618.19 Mn |
| Mar 31, 2026 | 633.54 Mn |
| Dec 31, 2025 | 730.41 Mn |
| Sep 30, 2025 | 699.47 Mn |
| Jun 30, 2025 | 617.58 Mn |
| Mar 31, 2025 | 663.23 Mn |
| Dec 31, 2024 | 906.14 Mn |
| Sep 30, 2024 | 675.72 Mn |
| Jun 30, 2024 | 609.43 Mn |
| Mar 31, 2024 | 134.11 Mn |
| Dec 31, 2023 | 692.87 Mn |
| Sep 30, 2023 | 611.07 Bn |
| Jun 30, 2023 | 778.61 Bn |
| Mar 31, 2023 | 111.97 Mn |
| Dec 31, 2022 | 949.25 Bn |
| Sep 30, 2022 | 555.89 Bn |
| Jun 30, 2022 | 493.75 Bn |
| Mar 31, 2022 | 517.32 Bn |
| Dec 31, 2021 | 2.04 Bn |
API Access
Andina Bottling Operating Expenses 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=operating-expenses&ticker=AKO-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AKO-B", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=AKO-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();