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.
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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 | 23.55 Bn | 22.38 Bn | - | - |
| 2 | St Joe | 3.95 Bn | 3.44 Bn | 73.42 Mn | - |
| 3 | Millrose Properties | 3.88 Bn | 3.52 Bn | - | 3.66 Bn |
| 4 | LandBridge | 2.22 Bn | 2.09 Bn | 65.71 Mn | 535.72 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.83 Bn | 86.00 Mn | 2.05 Bn |
| 6 | Forestar | 1.30 Bn | -43.39 Mn | 84.10 Mn | - |
| 7 | Five Point Holdings | 662.61 Mn | -795.01 Mn | -23.72 Mn | 685.56 Mn |
| 8 | Tejon Ranch | 437.20 Mn | 356.82 Mn | - | 130.57 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 10 | Global Asset Management | 182.09 Mn | 179.78 Mn | 236,261.00 | 13.52 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 | 135.72 Mn |
| Mar 31, 2018 | 129.77 Mn |
| Dec 31, 2017 | 130.44 Mn |
| Sep 30, 2017 | 132.01 Mn |
| Jun 30, 2017 | 141.10 Mn |
| Mar 31, 2017 | 133.98 Mn |
| Dec 31, 2016 | 140.90 Mn |
| Sep 30, 2016 | 143.16 Mn |
| Jun 30, 2016 | 144.39 Mn |
| Mar 31, 2016 | 411.83 Mn |
| Dec 31, 2015 | 433.26 Mn |
| Sep 30, 2015 | 494.82 Mn |
| Jun 30, 2015 | 485.03 Mn |
| Mar 31, 2015 | 492.95 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();