Federal Realty Investment Trust (FRT) Consolidated Net Income (2009 - 2026)
Federal Realty Investment Trust's Consolidated Net Income was $68.99 million in Q3 2026, up 7.0% from $64.5 million a year earlier but down 22.1% from the prior quarter.
Federal Realty Investment Trust (FRT) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Federal Realty Investment Trust's Consolidated Net Income was $451.22 million through Sep 30, 2026, up 25.6% year-over-year; for FY2025, it was $423.65 million, up 39.2% from FY2024.
- Consolidated Net Income shows a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- In earlier years, Consolidated Net Income was $304.33 million in FY2024 (+23.1%), $247.22 million in FY2023 (-37.5%), $395.66 million in FY2022 (+47.0%) and $269.08 million in FY2021 (+98.0%).
- Quarterly Consolidated Net Income has moved between $54.73 million (Q1 2022) and $161.07 million (Q1 2026) over five years.
- Compared with a year earlier, Consolidated Net Income was higher in seven of the last eight quarters, with growth averaging 32.0%.
- The best year-over-year quarter for Consolidated Net Income over five years was Q3 2022 (growth of 191.1%); the worst was Q3 2023 (a decline of 62.6%).
- Per Business Quant data, FRT's Consolidated Net Income in the three quarters before Q3 2026 was $88.55 million (Q2 2026), $161.07 million (Q1 2026) and $132.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn | 414.82 Mn |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - | 879.90 Mn |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - | 574.13 Mn |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - | 378.35 Mn |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - | 432.14 Mn |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - | 67.28 Mn |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn | 259.45 Mn |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn | 346.85 Mn |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - | 117.74 Mn |
| 10 | Federal Realty Investment Trust | 9.84 Bn | 9.40 Bn | - | 68.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.99 Mn |
| Jun 30, 2026 | 88.55 Mn |
| Mar 31, 2026 | 161.07 Mn |
| Dec 31, 2025 | 132.62 Mn |
| Sep 30, 2025 | 64.50 Mn |
| Jun 30, 2025 | 159.96 Mn |
| Mar 31, 2025 | 66.58 Mn |
| Dec 31, 2024 | 68.20 Mn |
| Sep 30, 2024 | 63.46 Mn |
| Jun 30, 2024 | 114.66 Mn |
| Mar 31, 2024 | 58.02 Mn |
| Dec 31, 2023 | 67.09 Mn |
| Sep 30, 2023 | 59.39 Mn |
| Jun 30, 2023 | 63.00 Mn |
| Mar 31, 2023 | 57.73 Mn |
| Dec 31, 2022 | 117.69 Mn |
| Sep 30, 2022 | 158.77 Mn |
| Jun 30, 2022 | 64.47 Mn |
| Mar 31, 2022 | 54.73 Mn |
| Dec 31, 2021 | 116.74 Mn |
Federal Realty Investment Trust Consolidated Net Income 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=consolidated-net-income&ticker=FRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=FRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();