Grupo Aval Acciones Y Valores (AVAL) Change in Net Loans (2020 - 2021)
Grupo Aval Acciones Y Valores (AVAL) recorded Change in Net Loans of -$17.7 trillion in the year ended Dec 31, 2025, compared with -$13.16 trillion a year earlier.
Grupo Aval Acciones Y Valores (AVAL) Change in Net Loans (2020 - 2021) Analysis & Trends
Starting with the year ended Dec 31, 2009, Grupo Aval Acciones Y Valores' Change in Net Loans history includes 14 years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Change in Net Loans since the year ended Dec 31, 2022.
- Per Business Quant data, AVAL's Change in Net Loans was -$13.16 trillion in the year ended Dec 31, 2024, -$7.71 trillion in the year ended Dec 31, 2023, -$27.84 trillion in the year ended Dec 31, 2022 and -$16.02 trillion in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Grupo Aval Acciones Y Valores | 5.75 Bn | 918.69 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -16,023.73 Bn |
| Dec 31, 2020 | -11,151.40 Bn |
Grupo Aval Acciones Y Valores Change in Net Loans 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=change-in-net-loans&ticker=AVAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=AVAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();