Franklin Street Properties Corp /Ma/ (FSP) Property Operating Expenses (2009 - 2017)
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Analysis
Franklin Street Properties Corp /Ma/ (FSP) Property Operating Expenses (2009 - 2017) Analysis & Trends
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 18.72 Mn |
| Sep 30, 2017 | 17.90 Mn |
| Jun 30, 2017 | 17.29 Mn |
| Mar 31, 2017 | 17.31 Mn |
| Dec 31, 2016 | 18.21 Mn |
| Sep 30, 2016 | 16.91 Mn |
| Jun 30, 2016 | 14.93 Mn |
| Mar 31, 2016 | 15.29 Mn |
| Dec 31, 2015 | 15.94 Mn |
| Sep 30, 2015 | 15.95 Mn |
| Jun 30, 2015 | 14.64 Mn |
| Mar 31, 2015 | 15.36 Mn |
| Dec 31, 2014 | 16.33 Mn |
| Sep 30, 2014 | 15.63 Mn |
| Jun 30, 2014 | 15.00 Mn |
| Mar 31, 2014 | 15.07 Mn |
| Dec 31, 2013 | 15.22 Mn |
| Sep 30, 2013 | 13.99 Mn |
| Jun 30, 2013 | 11.12 Mn |
| Mar 31, 2013 | 10.77 Mn |
API Access
Franklin Street Properties Corp /Ma/ Property Operating 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=property-operating-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "ticker": "FSP", "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-operating-expenses&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();