Prologis (PLD) Land & Improvements (2010 - 2013)
Prologis' (PLD) quarterly Land & Improvements came in at $4.3 billion in Q3 2013, down 21.64% on a YoY basis from $5.5 billion in Q3 2012, and up 4.09% quarter-over-quarter from $4.1 billion in Q2 2013.
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Analysis
Prologis (PLD) Land & Improvements (2010 - 2013) Analysis & Trends
Prologis (PLD) has reported Land & Improvements for 4 consecutive years, with $4.3 billion the latest figure, recorded in Q3 2013.
- For the quarter ending Q3 2013, Land & Improvements fell 21.64% year-over-year to $4.3 billion; the trailing twelve-month figure through Sep 2013 stood at $4.3 billion (down 21.64% YoY), and the FY2012 full-year result was $5.3 billion, up 10.47% from the prior year.
- Land & Improvements grew to $4.3 billion in Q3 2013 per PLD's latest filing, from $4.1 billion in the prior quarter.
- Across five years, Land & Improvements topped out at $5.5 billion in Q2 2012 and bottomed at $2.5 billion in Q4 2010.
- Historically, Land & Improvements has averaged $4.7 billion across 4 years, with a median of $5.0 billion in 2011.
- The sharpest annual moves came in 2011 and 2013: Land & Improvements jumped 90.4% in 2011, then dropped 25.85% in 2013.
- Over 4 years, Land & Improvements stood at $2.5 billion in 2010, then surged by 90.4% to $4.8 billion in 2011, then grew by 10.47% to $5.3 billion in 2012, then fell by 18.92% to $4.3 billion in 2013.
- According to Business Quant data, Land & Improvements over the past three periods registered $4.3 billion, $4.1 billion, and $4.1 billion for Q3 2013, Q2 2013, and Q1 2013 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | - |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 18.91 Bn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 6.00 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 3.26 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | 5.52 Bn |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 4.92 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 4.31 Bn |
| Jun 30, 2013 | 4.14 Bn |
| Mar 31, 2013 | 4.06 Bn |
| Dec 31, 2012 | 5.32 Bn |
| Sep 30, 2012 | 5.50 Bn |
| Jun 30, 2012 | 5.53 Bn |
| Mar 31, 2012 | 5.48 Bn |
| Dec 31, 2011 | 4.81 Bn |
| Sep 30, 2011 | 4.98 Bn |
| Jun 30, 2011 | 5.04 Bn |
| Dec 31, 2010 | 2.53 Bn |
API Access
Prologis Land & Improvements 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=land-and-improvements&ticker=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();