Digital Realty Trust (DLR) Property, Plant & Equipment (Net) (2010 - 2014)
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Analysis
Digital Realty Trust (DLR) Property, Plant & Equipment (Net) (2010 - 2014) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property, Plant & Equipment (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Digital Realty Trust | 67.37 Bn | 67.07 Bn | - | - |
| 2 | Fermi | 3.18 Bn | 3.12 Bn | - | 1.55 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 5.70 Bn |
| Mar 31, 2014 | 5.70 Bn |
| Dec 31, 2013 | 5.60 Bn |
| Sep 30, 2013 | 5.40 Bn |
| Jun 30, 2013 | 5.50 Bn |
| Mar 31, 2013 | 5.20 Bn |
| Dec 31, 2012 | 5.00 Bn |
| Dec 31, 2011 | 4.30 Bn |
| Dec 31, 2010 | 3.81 Bn |
API Access
Digital Realty Trust Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=DLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();