Prologis (PLD) Asset Writedowns and Impairment (2009 - 2012)
Prologis' (PLD) quarterly Asset Writedowns and Impairment came in at $236.8 million in Q4 2012, up 947.28% on a YoY basis from $22.6 million in Q1 2012, and up 7534.19% quarter-over-quarter from -$3.2 million in Q3 2012.
Prologis (PLD) Asset Writedowns and Impairment (2009 - 2012) Analysis & Trends
Prologis (PLD) has reported Asset Writedowns and Impairment for 4 consecutive years, with $236.8 million the latest figure, recorded in Q4 2012.
- For the quarter ending Q4 2012, Asset Writedowns and Impairment rose 947.28% year-over-year to $236.8 million; the trailing twelve-month figure through Dec 2012 stood at $252.9 million (down 80.02% YoY), and the FY2012 full-year result was $252.9 million, up 100.04% from the prior year.
- Asset Writedowns and Impairment climbed to $236.8 million in Q4 2012 per PLD's latest filing, from -$3.2 million in the prior quarter.
- Across five years, Asset Writedowns and Impairment topped out at $1.1 billion in Q4 2010 and bottomed at -$3.8 million in Q3 2009.
- Historically, Asset Writedowns and Impairment has averaged $186.4 million across 4 years, with a median of $22.6 million in 2011.
- The sharpest annual moves came in 2011 and 2012: Asset Writedowns and Impairment tumbled 98.03% in 2011, then soared 947.28% in 2012.
- Over 4 years, Asset Writedowns and Impairment stood at $159.5 million in 2009, then surged by 618.38% to $1.1 billion in 2010, then sank by 98.03% to $22.6 million in 2011, then jumped by 947.28% to $236.8 million in 2012.
- According to Business Quant data, Asset Writedowns and Impairment over the past three periods registered $236.8 million, -$3.2 million, and $19.3 million for Q4 2012, Q3 2012, and Q1 2012 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Prologis | 126.70 Bn | 131.10 Bn | 2.41 Bn |
| 2 | Eastgroup Properties | 10.89 Bn | 10.89 Bn | 193.10 Mn |
| 3 | Rexford Industrial Realty | 8.63 Bn | 8.99 Bn | - |
| 4 | Lineage | 8.55 Bn | 9.48 Bn | 425.00 Mn |
| 5 | STAG Industrial | 7.23 Bn | 7.31 Bn | - |
| 6 | Terreno Realty | 7.15 Bn | 7.15 Bn | - |
| 7 | Americold Realty Trust | 4.20 Bn | 4.20 Bn | 212.69 Mn |
| 8 | LXP Industrial Trust | 3.59 Bn | 3.60 Bn | 71.94 Mn |
| 9 | Innovative Industrial Properties | 1.55 Bn | 1.55 Bn | - |
| 10 | Industrial Logistics Properties Trust | 521.41 Mn | 900.92 Mn | - |
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 | 159.53 Mn |
| Sep 30, 2009 | -3.83 Mn |
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();