Elme Communities (ELME) Land & Improvements (2009 - 2011)
Elme Communities (ELME) posted Land & Improvements of $472.81 million for Q3 2011, down 0.6% from the prior quarter.
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Analysis
Elme Communities (ELME) Land & Improvements (2009 - 2011) Analysis & Trends
At the end of FY2010, Elme Communities' Land & Improvements came in at $381.34 million, down 5.2% from FY2009.
- In prior years, Elme Communities' Land & Improvements was $402.28 million in FY2009.
- Quarterly Land & Improvements has run from a low of $381.34 million in Q4 2010 to a high of $475.46 million in Q2 2011 over five years.
- According to Business Quant data, Land & Improvements for the three prior quarters was $475.46 million (Q2 2011), $475.46 million (Q1 2011) and $381.34 million (Q4 2010).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 6.00 Bn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 5.52 Bn |
| 10 | Elme Communities | 156.39 Mn | -1.20 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2011 | 472.81 Mn |
| Jun 30, 2011 | 475.46 Mn |
| Mar 31, 2011 | 475.46 Mn |
| Dec 31, 2010 | 381.34 Mn |
| Dec 31, 2009 | 402.28 Mn |
API Access
Elme Communities 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=ELME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "ELME", "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=ELME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();