Forestar (FOR) Total Non-Current Liabilities (2010 - 2019)
Forestar (FOR) recorded Total Non-Current Liabilities of $564.6 million in fiscal Q1 2020 (quarter ended Dec 31, 2019), up 1.4% from the prior quarter.
Powered by 
Analysis
Forestar (FOR) Total Non-Current Liabilities (2010 - 2019) Analysis & Trends
At the end of FY2019 (ended Sep 30, 2019), Forestar reported Total Non-Current Liabilities of $556.9 million.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 1.5% (FY2014 to FY2019).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $172.5 million in FY2018 (+21.2%), $142.38 million in FY2017 (-6.0%), $151.41 million in FY2016 (-65.9%) and $443.47 million in FY2015 (-14.2%).
- The fiscal Q1 2020 figure is the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2010.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 21.2% in fiscal Q4 2018, against a decline of 69.4% in fiscal Q3 2016 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $556.9 million (Q4 2019), $545.1 million (Q3 2019) and $218.2 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 535.72 Mn |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | 3.66 Bn |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 1.58 Bn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 2.05 Bn |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | 703.30 Mn |
| 10 | Tejon Ranch | 441.80 Mn | 376.78 Mn | - | 130.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 564.60 Mn |
| Sep 30, 2019 | 556.90 Mn |
| Jun 30, 2019 | 545.10 Mn |
| Mar 31, 2019 | 218.20 Mn |
| Dec 31, 2018 | 172.50 Mn |
| Sep 30, 2018 | 169.20 Mn |
| Jun 30, 2018 | 149.04 Mn |
| Mar 31, 2018 | 144.68 Mn |
| Dec 31, 2017 | 142.38 Mn |
| Sep 30, 2017 | 143.96 Mn |
| Jun 30, 2017 | 153.54 Mn |
| Mar 31, 2017 | 147.28 Mn |
| Dec 31, 2016 | 151.41 Mn |
| Sep 30, 2016 | 154.53 Mn |
| Jun 30, 2016 | 152.66 Mn |
| Mar 31, 2016 | 422.84 Mn |
| Dec 31, 2015 | 443.47 Mn |
| Sep 30, 2015 | 504.99 Mn |
| Jun 30, 2015 | 494.03 Mn |
| Mar 31, 2015 | 503.06 Mn |
API Access
Forestar Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();