Banco BBVA Argentina (BBAR) Other Accumulated Expenses (2018 - 2019)
Banco BBVA Argentina (BBAR) posted Other Accumulated Expenses of $17.19 billion for the quarter ended Dec 31, 2019, up 124.9% from $7.64 billion a year earlier and up 314.0% from the prior quarter.
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Analysis
Banco BBVA Argentina (BBAR) Other Accumulated Expenses (2018 - 2019) Analysis & Trends
Since the quarter ended Dec 31, 2018, Banco BBVA Argentina has reported Other Accumulated Expenses for 4 quarters.
- In prior years, Banco BBVA Argentina's Other Accumulated Expenses was $7.64 billion in the year ended Dec 31, 2018.
- Quarterly Other Accumulated Expenses has run from a low of $4.15 billion in the quarter ended Sep 30, 2019 to a high of $48.14 billion in the quarter ended Jun 30, 2019 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Banco BBVA Argentina | 7.59 Bn | -15,889.31 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 17.19 Bn |
| Sep 30, 2019 | 4.15 Bn |
| Jun 30, 2019 | 48.14 Bn |
| Dec 31, 2018 | 7.64 Bn |
API Access
Banco BBVA Argentina Other 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=other-accumulated-expenses&ticker=BBAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BBAR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=BBAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();