Forestar (FOR) Prepaid Assets (2009 - 2018)
Forestar's Prepaid Assets came in at $3.08 million for fiscal Q2 2019 (quarter ended Jun 30, 2018), down 48.3% from the prior quarter.
Analysis
Forestar (FOR) Prepaid Assets (2009 - 2018) Analysis & Trends
At the end of FY2017 (ended Dec 31, 2017), Forestar's Prepaid Assets was $2.88 million, up 44.0% from FY2016.
- Prepaid Assets carries a five-year compound annual growth rate of -14.9% (FY2012 to FY2017).
- Going back by fiscal year, Prepaid Assets was $2 million in FY2016 (-35.8%), $3.12 million in FY2015 (-48.1%), $6 million in FY2014 (+16.8%) and $5.14 million in FY2013 (-20.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 3.08 Mn |
| Mar 31, 2018 | 5.96 Mn |
| Dec 31, 2017 | 2.88 Mn |
| Sep 30, 2017 | 2.64 Mn |
| Jun 30, 2017 | 2.45 Mn |
| Mar 31, 2017 | 2.41 Mn |
| Dec 31, 2016 | 2.00 Mn |
| Sep 30, 2016 | 1.61 Mn |
| Jun 30, 2016 | 2.07 Mn |
| Mar 31, 2016 | 3.57 Mn |
| Dec 31, 2015 | 3.12 Mn |
| Sep 30, 2015 | 2.71 Mn |
| Jun 30, 2015 | 3.50 Mn |
| Mar 31, 2015 | 3.38 Mn |
| Dec 31, 2014 | 6.00 Mn |
| Sep 30, 2014 | 4.61 Mn |
| Jun 30, 2014 | 5.06 Mn |
| Mar 31, 2014 | 5.61 Mn |
| Dec 31, 2013 | 5.14 Mn |
| Sep 30, 2013 | 5.84 Mn |
API Access
Forestar Prepaid Assets 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=prepaid-assets&ticker=FOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();