Forestar (FOR) Interest Expenses (2010 - 2018)
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Analysis
Forestar (FOR) Interest Expenses (2010 - 2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 981,000.00 |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 50.11 Mn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 47.10 Mn |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 6.81 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - | - |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn | - |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | 38.00 Mn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | - |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | 4.81 Mn |
| 10 | Tejon Ranch | 477.18 Mn | 409.05 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 1.60 Mn |
| Mar 31, 2018 | 2.10 Mn |
| Dec 31, 2017 | 2.10 Mn |
| Sep 30, 2017 | 2.04 Mn |
| Jun 30, 2017 | 2.17 Mn |
| Mar 31, 2017 | 2.24 Mn |
| Dec 31, 2016 | 2.06 Mn |
| Sep 30, 2016 | 3.37 Mn |
| Jun 30, 2016 | 6.92 Mn |
| Mar 31, 2016 | 7.64 Mn |
| Dec 31, 2015 | 8.22 Mn |
| Sep 30, 2015 | 8.32 Mn |
| Jun 30, 2015 | 8.72 Mn |
| Mar 31, 2015 | 8.82 Mn |
| Dec 31, 2014 | 8.78 Mn |
| Sep 30, 2014 | 8.63 Mn |
| Jun 30, 2014 | 7.37 Mn |
| Mar 31, 2014 | 5.50 Mn |
| Dec 31, 2013 | 5.11 Mn |
| Sep 30, 2013 | 5.23 Mn |
API Access
Forestar 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=interest-expenses&ticker=FOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "FOR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();