Elme Communities (ELMES) Accumulated Expenses (2014 - 2015)
Elme Communities (ELMES) posted Accumulated Expenses of $66,000 for Q3 2015, up 29.4% from the prior quarter.
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Analysis
Elme Communities (ELMES) Accumulated Expenses (2014 - 2015) Analysis & Trends
At the end of FY2014, Elme Communities' Accumulated Expenses came in at $17,000.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $51,000 (Q2 2015), $35,000 (Q1 2015) and $17,000 (Q4 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Elme Communities | 4.41 Mn | -1.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 66,000.00 |
| Jun 30, 2015 | 51,000.00 |
| Mar 31, 2015 | 35,000.00 |
| Dec 31, 2014 | 17,000.00 |
API Access
Elme Communities Accumulated Expenses 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=accumulated-expenses&ticker=ELMES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ELMES", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ELMES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();