Franklin Street Properties (FSP) Accumulated Depreciation (2009 - 2026)
Franklin Street Properties' Accumulated Depreciation came in at $408.46 million for Q4 2025, up 8.1% from $377.71 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Franklin Street Properties (FSP) Accumulated Depreciation (2009 - 2026) Analysis & Trends
Going back to Q4 2009, Franklin Street Properties' Accumulated Depreciation data covers 62 quarters.
- Accumulated Depreciation carries a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $377.71 million in FY2024 (+3.1%), $366.35 million in FY2023 (-13.5%), $423.42 million in FY2022 (-0.3%) and $424.49 million in FY2021 (-21.2%).
- The Q4 2025 figure represents the highest quarterly Accumulated Depreciation since Q2 2023.
- Year-over-year, Accumulated Depreciation has increased for five consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- The fastest year-over-year change in Accumulated Depreciation over five years came in Q1 2021 (growth of 9.8%), and the weakest in Q1 2022 (a decline of 21.4%).
- Business Quant data shows FSP's Accumulated Depreciation at $399.6 million (Q3 2025), $391.92 million (Q2 2025) and $383.82 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn |
| 10 | Franklin Street Properties | 42.64 Mn | -68.99 Mn | 14.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 408.94 Mn |
| Jun 30, 2026 | 402.63 Mn |
| Mar 31, 2026 | 416.64 Mn |
| Dec 31, 2025 | 408.46 Mn |
| Sep 30, 2025 | 399.60 Mn |
| Jun 30, 2025 | 391.92 Mn |
| Mar 31, 2025 | 383.82 Mn |
| Dec 31, 2024 | 377.71 Mn |
| Sep 30, 2024 | 369.28 Mn |
| Jun 30, 2024 | 361.28 Mn |
| Mar 31, 2024 | 376.06 Mn |
| Dec 31, 2023 | 366.35 Mn |
| Sep 30, 2023 | 386.84 Mn |
| Jun 30, 2023 | 421.18 Mn |
| Mar 31, 2023 | 413.27 Mn |
| Dec 31, 2022 | 423.42 Mn |
| Sep 30, 2022 | 420.53 Mn |
| Jun 30, 2022 | 450.79 Mn |
| Mar 31, 2022 | 436.63 Mn |
| Dec 31, 2021 | 424.49 Mn |
API Access
Franklin Street Properties Accumulated Depreciation 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-depreciation&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();