Banco BBVA Argentina (BBAR) Operating Interest Expenses (2017 - 2019)
Banco BBVA Argentina's Operating Interest Expenses was $114.88 million in the quarter ended Jun 30, 2019, down 11.1% from $129.24 million a year earlier and down 6.5% from the prior quarter.
Banco BBVA Argentina (BBAR) Operating Interest Expenses (2017 - 2019) Analysis & Trends
On a trailing twelve-month basis, Banco BBVA Argentina's Operating Interest Expenses was $501.45 million through Jun 30, 2019, up 6.2% year-over-year; for the year ended Dec 31, 2016, it came in at $108.11 million.
- The figure for the quarter ended Jun 30, 2019 marks the lowest quarterly Operating Interest Expenses since the quarter ended Sep 30, 2017.
- Compared with a year earlier, Operating Interest Expenses was higher in three of the last five quarters, with growth averaging 9.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Banco BBVA Argentina | 7.68 Bn | -15,889.23 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 114.88 Mn |
| Mar 31, 2019 | 122.82 Mn |
| Dec 31, 2018 | 134.51 Mn |
| Jun 30, 2018 | 129.24 Mn |
| Mar 31, 2018 | 124.95 Mn |
| Dec 31, 2017 | 116.76 Mn |
| Sep 30, 2017 | 101.07 Mn |
| Jun 30, 2017 | 99.50 Mn |
| Mar 31, 2017 | 107.09 Mn |
Banco BBVA Argentina Operating Interest 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-interest-expenses&ticker=BBAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-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=operating-interest-expenses&ticker=BBAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();