Chatham Lodging Trust (CLDT) Restructuring Costs (2010 - 2013)
Chatham Lodging Trust's Restructuring Costs came in at $1.35 million for Q3 2013, compared with $24,000 a year earlier and up 27.0% from the prior quarter.
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Analysis
Chatham Lodging Trust (CLDT) Restructuring Costs (2010 - 2013) Analysis & Trends
Over the trailing twelve months to Sep 30, 2013, Chatham Lodging Trust reported Restructuring Costs of $2.71 million, down 35.9% year-over-year; for FY2012, it came in at $236,000, down 96.9% from FY2011.
- Going back by year, Restructuring Costs was $7.71 million in FY2011 (+141.6%) and $3.19 million in FY2010.
- The Q3 2013 figure represents the highest quarterly Restructuring Costs since Q4 2011.
- Year-over-year, Restructuring Costs increased in two of the last six quarters, with growth averaging 51.6%.
- The fastest year-over-year change in Restructuring Costs over five years came in Q1 2013 (growth of 353.8%), and the weakest in Q3 2012 (a decline of 98.9%).
- Business Quant data shows CLDT's Restructuring Costs at $1.06 million (Q2 2013), $177,000 (Q1 2013) and $128,000 (Q4 2012) in the three quarters before Q3 2013.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 1.35 Mn |
| Jun 30, 2013 | 1.06 Mn |
| Mar 31, 2013 | 177,000.00 |
| Dec 31, 2012 | 128,000.00 |
| Sep 30, 2012 | 24,000.00 |
| Jun 30, 2012 | 44,000.00 |
| Mar 31, 2012 | 39,000.00 |
| Dec 31, 2011 | 4.12 Mn |
| Sep 30, 2011 | 2.10 Mn |
| Jun 30, 2011 | 1.40 Mn |
| Mar 31, 2011 | 85,000.00 |
| Dec 31, 2010 | 1.02 Mn |
| Sep 30, 2010 | 1.16 Mn |
| Jun 30, 2010 | 1.01 Mn |
API Access
Chatham Lodging 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=CLDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "CLDT", "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=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();