Franklin Street Properties (FSP) Retained Earnings (2009 - 2025)
Franklin Street Properties' Retained Earnings came in at $728.62 million for Q4 2025, up 7.2% from $679.51 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Franklin Street Properties (FSP) Retained Earnings (2009 - 2025) Analysis & Trends
Going back to Q4 2009, Franklin Street Properties' Retained Earnings data covers 62 quarters.
- Retained Earnings has increased in each of the last four years, with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $679.51 million in FY2024 (+9.1%), $622.65 million in FY2023 (+9.2%), $570.41 million in FY2022 (+3.6%) and $550.79 million in FY2021 (-3.7%).
- The Q4 2025 figure represents the highest quarterly Retained Earnings in data going back to Q4 2009.
- Year-over-year, Retained Earnings has increased for ten consecutive quarters, with growth averaging 9.4% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q2 2024 (growth of 12.9%), and the weakest in Q1 2022 (a decline of 4.0%).
- Business Quant data shows FSP's Retained Earnings at $720.26 million (Q3 2025), $710.9 million (Q2 2025) and $701.99 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 12.21 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | -860.50 Mn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | -4.61 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 11.39 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | -1.35 Bn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | -7.93 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 651.14 Mn |
| 10 | Franklin Street Properties | 35.25 Mn | -88.97 Mn | - | 728.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 728.62 Mn |
| Sep 30, 2025 | 720.26 Mn |
| Jun 30, 2025 | 710.90 Mn |
| Mar 31, 2025 | 701.99 Mn |
| Dec 31, 2024 | 679.51 Mn |
| Sep 30, 2024 | 669.95 Mn |
| Jun 30, 2024 | 653.29 Mn |
| Mar 31, 2024 | 631.24 Mn |
| Dec 31, 2023 | 622.65 Mn |
| Sep 30, 2023 | 625.19 Mn |
| Jun 30, 2023 | 578.49 Mn |
| Mar 31, 2023 | 569.04 Mn |
| Dec 31, 2022 | 570.41 Mn |
| Sep 30, 2022 | 566.49 Mn |
| Jun 30, 2022 | 582.71 Mn |
| Mar 31, 2022 | 564.31 Mn |
| Dec 31, 2021 | 550.79 Mn |
| Sep 30, 2021 | 586.58 Mn |
| Jun 30, 2021 | 581.37 Mn |
| Mar 31, 2021 | 587.86 Mn |
API Access
Franklin Street Properties Retained Earnings 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=retained-earnings&ticker=FSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();