BrasilAgro - Brazilian Agricultural Real Estate Co (LND) Operating Interest Expenses (2012 - 2019)
BrasilAgro - Brazilian Agricultural Real Estate (LND) posted Operating Interest Expenses of -$1.03 million for the quarter ended Jun 30, 2019, compared with -$2.89 million a year earlier.
BrasilAgro - Brazilian Agricultural Real Estate Co (LND) Operating Interest Expenses (2012 - 2019) Analysis & Trends
For the trailing twelve months through Jun 30, 2019, Operating Interest Expenses at BrasilAgro - Brazilian Agricultural Real Estate was -$7.09 million; for the year ended Jun 30, 2016, it came in at -$2.29 million.
- In prior years, BrasilAgro - Brazilian Agricultural Real Estate's Operating Interest Expenses was -$5.1 million in the year ended Jun 30, 2015, -$999,046 in the year ended Jun 30, 2014 and -$1.51 million in the year ended Jun 30, 2013.
- The figure for the quarter ended Jun 30, 2019 stands as the highest quarterly Operating Interest Expenses since the quarter ended Dec 31, 2014.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -1.03 Mn |
| Sep 30, 2018 | -1.82 Mn |
| Jun 30, 2018 | -2.89 Mn |
| Sep 30, 2015 | -1.35 Mn |
| Dec 31, 2014 | -972,380.01 |
| Sep 30, 2014 | -1.95 Mn |
| Sep 30, 2013 | -526,429.99 |
| Sep 30, 2012 | -287,824.40 |
BrasilAgro - Brazilian Agricultural Real Estate Co 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=LND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "LND", "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=LND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();