Prologis (PLD) Asset Writedowns and Impairment (2009 - 2012)
Prologis (PLD) posted Asset Writedowns and Impairment of $236.78 million for Q4 2012, up 947.3% from $22.61 million a year earlier.
Analysis
Prologis (PLD) Asset Writedowns and Impairment (2009 - 2012) Analysis & Trends
For FY2012, Prologis' Asset Writedowns and Impairment came in at $252.91 million, up 100.0% from FY2011.
- Annual Asset Writedowns and Impairment shows a three-year compound annual growth rate of -8.6% (FY2009 to FY2012).
- In prior years, Prologis' Asset Writedowns and Impairment was $126.43 million in FY2011 (-89.0%), $1.15 billion in FY2010 (+246.6%) and $331.59 million in FY2009.
- The Q4 2012 figure stands as the highest quarterly Asset Writedowns and Impairment since Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn |
| 2 | Prologis | 124.11 Bn | 119.15 Bn | - |
| 3 | Simon Property | 64.82 Bn | 60.67 Bn | - |
| 4 | Realty Income | 51.70 Bn | 49.92 Bn | - |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - |
| 6 | Ventas | 41.42 Bn | 40.11 Bn | - |
| 7 | Extra Space Storage | 28.29 Bn | 28.29 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.10 Bn | 23.21 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.73 Bn | 22.51 Bn | - |
| 10 | Essex Property Trust | 17.37 Bn | 17.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 236.78 Mn |
| Sep 30, 2012 | -3.19 Mn |
| Mar 31, 2012 | 19.32 Mn |
| Dec 31, 2011 | 22.61 Mn |
| Jun 30, 2011 | 97.00 Mn |
| Dec 31, 2010 | 1.15 Bn |
| Sep 30, 2010 | 2.93 Mn |
| Dec 31, 2009 | -12.53 Mn |
| Sep 30, 2009 | -7.66 Mn |
API Access
Prologis Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=PLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();