Grupo Aval Acciones Y Valores (AVAL) Operating Expenses (2011 - 2015)
Grupo Aval Acciones Y Valores (AVAL) recorded Operating Expenses of $70.96 billion in the quarter ended Jun 30, 2026, up 22.8% from $57.81 billion a year earlier but down 19.7% from the prior quarter.
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Analysis
Grupo Aval Acciones Y Valores (AVAL) Operating Expenses (2011 - 2015) Analysis & Trends
On a TTM basis, Grupo Aval Acciones Y Valores' Operating Expenses came in at $341.81 billion as of Jun 30, 2026, up 51.4% year-over-year; for the year ended Dec 31, 2025, it was -$41.35 trillion.
- Across earlier years, Operating Expenses came in at -$44.3 trillion in the year ended Dec 31, 2024, -$45.48 trillion in the year ended Dec 31, 2023, -$32.41 trillion in the year ended Dec 31, 2022 and -$33.4 trillion in the year ended Dec 31, 2021.
- Quarterly Operating Expenses has ranged from -$3,988 in the quarter ended Dec 31, 2021 to $122.54 billion in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 19.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 130.4% in the quarter ended Jun 30, 2022, against a decline of 34.2% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $88.36 billion (quarter ended Mar 31, 2026), $122.54 billion (quarter ended Dec 31, 2025) and $59.95 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Grupo Aval Acciones Y Valores | 5.28 Bn | -12.09 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 875.00 Mn |
| Dec 31, 2014 | 6.51 Bn |
| Sep 30, 2014 | 23.15 Bn |
| Jun 30, 2014 | 3.31 Bn |
| Mar 31, 2014 | 875.00 Mn |
| Dec 31, 2013 | 1.73 Bn |
| Sep 30, 2013 | 938.00 Mn |
| Jun 30, 2013 | 3.99 Bn |
| Mar 31, 2013 | 273.00 Mn |
| Sep 30, 2011 | 1,241.94 Bn |
API Access
Grupo Aval Acciones Y Valores Operating 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=operating-expenses&ticker=AVAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AVAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();