Grupo Aval Acciones Y Valores (AVAL) Ending Cash Balance (2009 - 2024)
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Analysis
Grupo Aval Acciones Y Valores (AVAL) Ending Cash Balance (2009 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Ending Cash Balance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 326.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.12 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 179.36 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Grupo Aval Acciones Y Valores | 5.28 Bn | -12.09 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 16,998.86 Bn |
| Dec 31, 2023 | 18,597.86 Bn |
| Dec 31, 2022 | 17,032.86 Bn |
| Dec 31, 2021 | 36,642.83 Bn |
| Dec 31, 2020 | 34,025.54 Bn |
| Dec 31, 2019 | 30,117.24 Bn |
| Sep 30, 2019 | 27,332.72 Bn |
| Dec 31, 2018 | 4.18 Bn |
| Sep 30, 2018 | 24,396.82 Bn |
| Dec 31, 2017 | 22,336.84 Bn |
| Dec 31, 2016 | 22,193.00 Bn |
| Dec 31, 2015 | 22,284.98 Bn |
| Mar 31, 2015 | 835.83 Bn |
| Dec 31, 2014 | 17,269.76 Bn |
| Sep 30, 2014 | 98.07 Bn |
| Jun 30, 2014 | 52.21 Bn |
| Mar 31, 2014 | 835.83 Bn |
| Dec 31, 2013 | 16,096.61 Bn |
| Sep 30, 2013 | 43.54 Bn |
| Jun 30, 2013 | 724.08 Bn |
API Access
Grupo Aval Acciones Y Valores Ending Cash Balance 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=ending-cash-balance&ticker=AVAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ending-cash-balance", "ticker": "AVAL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ending-cash-balance&ticker=AVAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();