NexPoint Residential Trust (NXRT) Restructuring Costs (2014 - 2016)
NexPoint Residential Trust's Restructuring Costs was $386,000 in FY2016, down 87.0% from $2.98 million in FY2015.
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Analysis
NexPoint Residential Trust (NXRT) Restructuring Costs (2014 - 2016) Analysis & Trends
From FY2013 onward, NexPoint Residential Trust has reported Restructuring Costs for 4 years.
- Restructuring Costs shows a three-year compound annual growth rate of 41.2% (FY2013 to FY2016).
- The FY2016 figure marks the lowest annual Restructuring Costs since FY2013.
- Per Business Quant data, Restructuring Costs in earlier years was $2.98 million in FY2015 (-65.6%), $8.64 million in FY2014 and $137,000 in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | NexPoint Residential Trust | 498.73 Mn | 503.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 386,000.00 |
| Dec 31, 2015 | 188,000.00 |
| Sep 30, 2015 | 618,000.00 |
| Jun 30, 2015 | 238,000.00 |
| Mar 31, 2015 | 1.93 Mn |
| Dec 31, 2014 | 2.29 Mn |
| Sep 30, 2014 | 3.61 Mn |
| Jun 30, 2014 | 851,627.00 |
| Mar 31, 2014 | 1.89 Mn |
API Access
NexPoint Residential Trust Restructuring Costs 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=restructuring-costs&ticker=NXRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "NXRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=NXRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();