Franklin Street Properties (FSP) Long-Term Investments (2009 - 2018)
Franklin Street Properties' Long-Term Investments was $69.07 million in Q2 2018, down 6.5% from $73.88 million a year earlier and down 0.9% from the prior quarter.
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Analysis
Franklin Street Properties (FSP) Long-Term Investments (2009 - 2018) Analysis & Trends
At the end of FY2017, Long-Term Investments at Franklin Street Properties came in at $70.16 million, down 6.7% from FY2016.
- Long-Term Investments has now declined for eight consecutive years, with a five-year compound annual growth rate of -3.1% (FY2012 to FY2017).
- In earlier years, Long-Term Investments was $75.17 million in FY2016 (-2.4%), $77.02 million in FY2015 (-2.0%), $78.61 million in FY2014 (-2.3%) and $80.49 million in FY2013 (-1.8%).
- The Q2 2018 figure marks the lowest quarterly Long-Term Investments in data going back to Q4 2009.
- Compared with a year earlier, Long-Term Investments has declined for 29 straight quarters, with an average decline of 4.2% over the last eight quarters.
- Across the past five years, year-over-year decline in Long-Term Investments ran from 1.3% in Q3 2015 to 6.7% in Q4 2017.
- Per Business Quant data, FSP's Long-Term Investments in the three quarters before Q2 2018 was $69.7 million (Q1 2018), $70.16 million (Q4 2017) and $73.41 million (Q3 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 2.00 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 5.87 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 364.79 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 323.34 Mn |
| 10 | Franklin Street Properties | 38.37 Mn | -85.86 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 69.07 Mn |
| Mar 31, 2018 | 69.70 Mn |
| Dec 31, 2017 | 70.16 Mn |
| Sep 30, 2017 | 73.41 Mn |
| Jun 30, 2017 | 73.88 Mn |
| Mar 31, 2017 | 74.42 Mn |
| Dec 31, 2016 | 75.17 Mn |
| Sep 30, 2016 | 75.76 Mn |
| Jun 30, 2016 | 76.29 Mn |
| Mar 31, 2016 | 76.71 Mn |
| Dec 31, 2015 | 77.02 Mn |
| Sep 30, 2015 | 77.85 Mn |
| Jun 30, 2015 | 78.16 Mn |
| Mar 31, 2015 | 78.23 Mn |
| Dec 31, 2014 | 78.61 Mn |
| Sep 30, 2014 | 78.91 Mn |
| Jun 30, 2014 | 79.41 Mn |
| Mar 31, 2014 | 79.98 Mn |
| Dec 31, 2013 | 80.49 Mn |
| Sep 30, 2013 | 81.07 Mn |
API Access
Franklin Street Properties Long-Term Investments 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=long-term-investments&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();