Prologis, Inc. (PLD) Restructuring Costs (2009 - 2012)
Prologis (PLD) recorded Restructuring Costs of $28.1 million in Q4 2012, up 49.7% from $18.77 million a year earlier and up 36.0% from the prior quarter.
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Analysis
Prologis, Inc. (PLD) Restructuring Costs (2009 - 2012) Analysis & Trends
For FY2012, Prologis reported Restructuring Costs of $80.68 million, down 42.6% from FY2011.
- Annual Restructuring Costs has a three-year compound annual growth rate of 85.0% (FY2009 to FY2012).
- Across earlier years, Restructuring Costs came in at $140.5 million in FY2011 and $12.74 million in FY2009.
- The Q4 2012 figure is the highest quarterly Restructuring Costs since Q2 2011.
- On a year-over-year basis, Restructuring Costs rose in five of the last six quarters, with growth averaging 104.9%.
- Per Business Quant, the preceding three quarters came in at $20.66 million (Q3 2012), $21.19 million (Q2 2012) and $10.73 million (Q1 2012).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 28.10 Mn |
| Sep 30, 2012 | 20.66 Mn |
| Jun 30, 2012 | 21.19 Mn |
| Mar 31, 2012 | 10.73 Mn |
| Dec 31, 2011 | 18.77 Mn |
| Sep 30, 2011 | 12.68 Mn |
| Jun 30, 2011 | 103.05 Mn |
| Mar 31, 2011 | 5.99 Mn |
| Dec 31, 2010 | -9.75 Mn |
| Sep 30, 2010 | 2.06 Mn |
| Mar 31, 2010 | 5.95 Mn |
| Dec 31, 2009 | 5.09 Mn |
| Jun 30, 2009 | 7.65 Mn |
API Access
Prologis, Inc. 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=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "PLD", "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=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();