Prologis (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.
Analysis
Prologis (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).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - |
| 10 | Invitation Homes | 15.68 Bn | 15.72 Bn | - |
Historic Data
Download Data
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 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_KEY
import 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();