Federal Realty Investment Trust (FRT) Change in Accured Expenses (2009 - 2026)
Federal Realty Investment Trust's Change in Accured Expenses came in at -$17.98 million for Q4 2025, compared with -$21.23 million a year earlier.
Federal Realty Investment Trust (FRT) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2025, Federal Realty Investment Trust's Change in Accured Expenses was $5.59 million, up 260.5% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $1.55 million in FY2024 (-74.2%), $6.01 million in FY2023, $77,000 in FY2022 (-98.9%) and $6.78 million in FY2021 (+20.7%).
- The five-year range for quarterly Change in Accured Expenses is -$21.23 million (Q4 2024) to $27.37 million (Q3 2025).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 73.2%.
- Business Quant data shows FRT's Change in Accured Expenses at $27.37 million (Q3 2025), -$10.99 million (Q2 2025) and $7.19 million (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Federal Realty Investment Trust | 9.27 Bn | 9.46 Bn | - | -10.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.05 Mn |
| Mar 31, 2026 | 12.38 Mn |
| Dec 31, 2025 | -17.98 Mn |
| Sep 30, 2025 | 27.37 Mn |
| Jun 30, 2025 | -10.99 Mn |
| Mar 31, 2025 | 7.19 Mn |
| Dec 31, 2024 | -21.23 Mn |
| Sep 30, 2024 | 21.40 Mn |
| Jun 30, 2024 | -5.81 Mn |
| Mar 31, 2024 | 7.19 Mn |
| Dec 31, 2023 | -15.28 Mn |
| Sep 30, 2023 | 22.71 Mn |
| Jun 30, 2023 | -3.37 Mn |
| Mar 31, 2023 | 1.94 Mn |
| Dec 31, 2022 | -13.87 Mn |
| Sep 30, 2022 | 19.53 Mn |
| Jun 30, 2022 | -159,000.00 |
| Mar 31, 2022 | -5.42 Mn |
| Dec 31, 2021 | -8.72 Mn |
| Sep 30, 2021 | 13.36 Mn |
Federal Realty Investment Trust Change in Accured 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=change-in-accured-expenses&ticker=FRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=FRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();