Andina Bottling (AKO-B) Pension (2009 - 2019)
Andina Bottling (AKO-B) posted Pension of $10.17 billion for the quarter ended Dec 31, 2019, up 8.0% from $9.42 billion a year earlier.
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Analysis
Andina Bottling (AKO-B) Pension (2009 - 2019) Analysis & Trends
Since the quarter ended Sep 30, 2009, Andina Bottling has reported Pension for 34 quarters.
- Annual Pension has increased for three consecutive years, with a five-year compound annual growth rate of 4.6% (years ended Dec 2014 to Dec 2019).
- In prior years, Andina Bottling's Pension was $9.42 billion in the year ended Dec 31, 2018 (+13.6%), $8.29 billion in the year ended Dec 31, 2017 (+1.6%), $8.16 billion in the year ended Dec 31, 2016 (-0.9%) and $8.23 billion in the year ended Dec 31, 2015 (+1.3%).
- The figure for the quarter ended Dec 31, 2019 stands as the highest quarterly Pension in data going back to the quarter ended Sep 30, 2009.
- The strongest year-over-year quarter for Pension in the past five years was the quarter ended Dec 31, 2018, with growth of 13.6%; the weakest was the quarter ended Mar 31, 2015, with a decline of 4.4%.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 10.17 Bn |
| Dec 31, 2018 | 9.42 Bn |
| Sep 30, 2018 | 8.90 Bn |
| Jun 30, 2018 | 8.88 Bn |
| Mar 31, 2018 | 8.73 Bn |
| Dec 31, 2017 | 8.29 Bn |
| Sep 30, 2017 | 8.40 Bn |
| Jun 30, 2017 | 8.47 Bn |
| Mar 31, 2017 | 8.29 Bn |
| Dec 31, 2016 | 8.16 Bn |
| Sep 30, 2016 | 8.50 Bn |
| Jun 30, 2016 | 8.43 Bn |
| Mar 31, 2016 | 8.37 Bn |
| Dec 31, 2015 | 8.23 Bn |
| Sep 30, 2015 | 8.44 Bn |
| Jun 30, 2015 | 8.61 Bn |
| Mar 31, 2015 | 8.55 Bn |
| Dec 31, 2014 | 8.13 Bn |
| Sep 30, 2014 | 8.15 Bn |
| Jun 30, 2014 | 8.00 Bn |
API Access
Andina Bottling Pension 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=pension&ticker=AKO-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=AKO-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();