Andina Bottling (AKO-B) Selling, General & Administrative (2009 - 2026)
Analysis
Andina Bottling (AKO-B) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.09 Bn |
| Jun 30, 2026 | 155.10 Mn |
| Mar 31, 2026 | 147.82 Mn |
| Dec 31, 2025 | 4.23 Bn |
| Sep 30, 2025 | 3.50 Bn |
| Jun 30, 2025 | 273.25 Mn |
| Mar 31, 2025 | 142.91 Mn |
| Dec 31, 2024 | 4.00 Bn |
| Sep 30, 2024 | 392.50 Mn |
| Jun 30, 2024 | 262.37 Mn |
| Mar 31, 2024 | 134.11 Mn |
| Dec 31, 2023 | 3.39 Bn |
| Sep 30, 2023 | 349.21 Mn |
| Jun 30, 2023 | 224.19 Mn |
| Mar 31, 2023 | 111.97 Mn |
| Dec 31, 2022 | 2.08 Bn |
| Sep 30, 2022 | 325.95 Bn |
| Jun 30, 2022 | 205.36 Bn |
| Mar 31, 2022 | 93.03 Bn |
| Dec 31, 2021 | 2.04 Bn |
API Access
Andina Bottling Selling, General & Administrative 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=selling-general-and-administrative&ticker=AKO-B&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AKO-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();