Andina Bottling Co Inc (AKO-A) Accumulated Expenses (2009 - 2025)
Andina Bottling's (AKO-A) quarterly Accumulated Expenses came in at $2.5 billion in Q4 2025, little changed year-over-year from $2.5 billion in Q4 2024, and little changed quarter-over-quarter from $2.5 billion in Q4 2024.
Andina Bottling Co Inc (AKO-A) Accumulated Expenses (2009 - 2025) Analysis & Trends
Andina Bottling has disclosed Accumulated Expenses across 9 years of filings, most recently posting $2.5 billion for Q4 2025.
- In Q4 2025, Accumulated Expenses changed 0.0% year-over-year to $2.5 billion; the TTM figure through Dec 2025 stood at $2.5 billion (changed 0.0% YoY), while the FY2025 annual figure was $2.5 billion, changed 0.0% from the prior year.
- Accumulated Expenses came in at $2.5 billion for Q4 2025 at Andina Bottling, roughly flat from $2.5 billion in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $3.0 billion in Q4 2023 to a low of $307.3 million in Q1 2021.
- Average Accumulated Expenses over 4 years is $2.1 billion, with a median of $2.5 billion recorded in 2024.
- Year-over-year, Accumulated Expenses decreased 23.97% in 2021 and changed 0.0% in 2025.
- Over 4 years, Accumulated Expenses stood at $307.3 million in 2021, then soared by 881.31% to $3.0 billion in 2023, then retreated by 15.93% to $2.5 billion in 2024, then changed by 0.0% to $2.5 billion in 2025.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $2.5 billion in Q4 2025, $2.5 billion in Q4 2024, and $3.0 billion in Q4 2023.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.53 Bn |
| Dec 31, 2024 | 2.53 Bn |
| Dec 31, 2023 | 3.02 Bn |
| Mar 31, 2021 | 307.27 Mn |
| Dec 31, 2020 | 295.28 Mn |
| Sep 30, 2020 | 297.49 Mn |
| Jun 30, 2020 | 343.41 Mn |
| Mar 31, 2020 | 404.15 Mn |
| Dec 31, 2019 | 619.59 Mn |
| Sep 30, 2019 | 1.08 Bn |
| Dec 31, 2018 | 735.67 Mn |
| Mar 31, 2010 | 4.37 Bn |
| Dec 31, 2009 | 12.65 Bn |
Andina Bottling Co Inc Accumulated 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=accumulated-expenses&ticker=AKO-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AKO-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();