Saul Centers (BFS) Restructuring Costs (2010 - 2016)
Saul Centers (BFS) recorded Restructuring Costs of $3,000 in Q4 2016, down 50.0% from $6,000 a year earlier and down 94.7% from the prior quarter.
Analysis
Saul Centers (BFS) Restructuring Costs (2010 - 2016) Analysis & Trends
For FY2016, Saul Centers reported Restructuring Costs of $60,000, down 28.6% from FY2015.
- Annual Restructuring Costs has a five-year compound annual growth rate of -52.7% (FY2011 to FY2016).
- Across earlier years, Restructuring Costs came in at $84,000 in FY2015 (-91.1%), $949,000 in FY2014 (+795.3%), $106,000 in FY2013 (-90.6%) and $1.13 million in FY2012 (-55.4%).
- The Q4 2016 figure is the lowest quarterly Restructuring Costs in data going back to Q3 2010.
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 | Saul Centers | 745.06 Mn | 918.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 3,000.00 |
| Sep 30, 2016 | 57,000.00 |
| Dec 31, 2015 | 6,000.00 |
| Sep 30, 2015 | 57,000.00 |
| Mar 31, 2015 | 21,000.00 |
| Dec 31, 2014 | 211,000.00 |
| Sep 30, 2014 | 359,000.00 |
| Jun 30, 2014 | 216,000.00 |
| Mar 31, 2014 | 163,000.00 |
| Dec 31, 2013 | 7,000.00 |
| Sep 30, 2013 | 99,000.00 |
| Dec 31, 2012 | 1.13 Mn |
| Dec 31, 2011 | 21,000.00 |
| Sep 30, 2011 | 2.44 Mn |
| Mar 31, 2011 | 74,000.00 |
| Dec 31, 2010 | 1.01 Mn |
| Sep 30, 2010 | 170,000.00 |
API Access
Saul Centers 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=BFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "BFS", "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=BFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();