CubeSmart (CUBE) Restructuring Costs (2010 - 2017)
CubeSmart's Restructuring Costs came in at $232,000 for Q4 2017, down 69.4% from $759,000 a year earlier and down 1.3% from the prior quarter.
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Analysis
CubeSmart (CUBE) Restructuring Costs (2010 - 2017) Analysis & Trends
For FY2017, CubeSmart's Restructuring Costs was $1.29 million, down 80.3% from FY2016.
- Restructuring Costs carries a five-year compound annual growth rate of -16.0% (FY2012 to FY2017).
- Going back by year, Restructuring Costs was $6.55 million in FY2016 (+98.5%), $3.3 million in FY2015 (-55.9%), $7.48 million in FY2014 (+94.4%) and $3.85 million in FY2013 (+24.7%).
- The five-year range for quarterly Restructuring Costs is $115,000 (Q1 2013) to $3.83 million (Q4 2014).
- Year-over-year, Restructuring Costs has declined for six consecutive quarters, with growth averaging 31.9% over the last eight quarters.
- The fastest year-over-year change in Restructuring Costs over five years came in Q2 2013 (growth of 426.5%), and the weakest in Q1 2017 (a decline of 93.2%).
- Business Quant data shows CUBE's Restructuring Costs at $235,000 (Q3 2017), $668,000 (Q2 2017) and $159,000 (Q1 2017) in the three quarters before Q4 2017.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 232,000.00 |
| Sep 30, 2017 | 235,000.00 |
| Jun 30, 2017 | 668,000.00 |
| Mar 31, 2017 | 159,000.00 |
| Dec 31, 2016 | 759,000.00 |
| Sep 30, 2016 | 888,000.00 |
| Jun 30, 2016 | 2.56 Mn |
| Mar 31, 2016 | 2.34 Mn |
| Dec 31, 2015 | 816,000.00 |
| Sep 30, 2015 | 1.22 Mn |
| Jun 30, 2015 | 753,000.00 |
| Mar 31, 2015 | 510,000.00 |
| Dec 31, 2014 | 3.83 Mn |
| Sep 30, 2014 | 1.26 Mn |
| Jun 30, 2014 | 721,000.00 |
| Mar 31, 2014 | 1.68 Mn |
| Dec 31, 2013 | 1.62 Mn |
| Sep 30, 2013 | 470,000.00 |
| Jun 30, 2013 | 1.65 Mn |
| Mar 31, 2013 | 115,000.00 |
API Access
CubeSmart 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=CUBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "CUBE", "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=CUBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();