Franklin Street Properties (FSP) Land & Improvements (2009 - 2025)
Franklin Street Properties (FSP) recorded Land & Improvements of $98.88 million in Q4 2025, down 6.1% from $105.3 million a year earlier and unchanged from the prior quarter.
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Analysis
Franklin Street Properties (FSP) Land & Improvements (2009 - 2025) Analysis & Trends
Starting with Q4 2009, Franklin Street Properties' Land & Improvements history includes 61 quarters.
- Annual Land & Improvements has declined for six straight years, with a five-year compound annual growth rate of -12.2% (FY2020 to FY2025).
- Across earlier years, Land & Improvements came in at $105.3 million in FY2024 (-4.5%), $110.3 million in FY2023 (-12.9%), $126.65 million in FY2022 (-13.8%) and $146.84 million in FY2021 (-22.4%).
- Quarterly Land & Improvements has ranged from $98.88 million in Q1 2025 to $189.16 million in Q1 2021 over the past five years.
- On a year-over-year basis, Land & Improvements has declined for 18 consecutive quarters, with an average decline of 9.3% over the last eight quarters.
- The year-over-year decline in Land & Improvements has ranged between 1.3% (Q1 2021) and 22.4% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $98.88 million (Q3 2025), $98.88 million (Q2 2025) and $98.88 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Franklin Street Properties | 38.37 Mn | -85.86 Mn | - | 98.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 98.88 Mn |
| Sep 30, 2025 | 98.88 Mn |
| Jun 30, 2025 | 98.88 Mn |
| Mar 31, 2025 | 98.88 Mn |
| Dec 31, 2024 | 105.30 Mn |
| Sep 30, 2024 | 105.30 Mn |
| Jun 30, 2024 | 105.30 Mn |
| Mar 31, 2024 | 110.30 Mn |
| Dec 31, 2023 | 110.30 Mn |
| Sep 30, 2023 | 114.30 Mn |
| Jun 30, 2023 | 128.59 Mn |
| Mar 31, 2023 | 130.15 Mn |
| Dec 31, 2022 | 126.65 Mn |
| Sep 30, 2022 | 131.56 Mn |
| Jun 30, 2022 | 146.84 Mn |
| Mar 31, 2022 | 146.84 Mn |
| Dec 31, 2021 | 146.84 Mn |
| Sep 30, 2021 | 161.77 Mn |
| Jun 30, 2021 | 170.38 Mn |
| Mar 31, 2021 | 189.16 Mn |
API Access
Franklin Street Properties 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=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();