Prologis (PLD) Land (2010 - 2013)
Prologis (PLD) posted Land & Improvements of $4.31 billion for Q3 2013, down 21.6% from $5.5 billion a year earlier but up 4.1% from the prior quarter.
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Analysis
Prologis (PLD) Land (2010 - 2013) Analysis & Trends
At the end of FY2012, Prologis' Land & Improvements came in at $5.32 billion, up 10.5% from FY2011.
- In prior years, Prologis' Land & Improvements was $4.81 billion in FY2011 (+90.4%) and $2.53 billion in FY2010.
- Quarterly Land & Improvements has run from a low of $2.53 billion in Q4 2010 to a high of $5.53 billion in Q2 2012 over five years.
- On a year-over-year basis, Land & Improvements has declined in each of the last three quarters, with growth averaging 6.9% over the last seven quarters.
- According to Business Quant data, Land & Improvements for the three prior quarters was $4.14 billion (Q2 2013), $4.06 billion (Q1 2013) and $5.32 billion (Q4 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - |
| 10 | Essex Property Trust | 17.73 Bn | 17.49 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 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&ticker=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land", "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&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();