Federal Realty Investment Trust (FRT) Interest Expense (2009 - 2026)
Federal Realty Investment Trust (FRT) recorded Interest Expenses of $49.74 million in Q3 2026, up 4.5% from $47.62 million a year earlier but down 0.5% from the prior quarter.
Federal Realty Investment Trust (FRT) Interest Expense (2009 - 2026) Analysis & Trends
On a TTM basis, Federal Realty Investment Trust's Interest Expenses came in at $197.79 million as of Sep 30, 2026, up 11.2% year-over-year; for FY2025, it was $183.61 million, up 4.6% from FY2024.
- Annual Interest Expenses has increased for four straight years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $175.48 million in FY2024 (+4.6%), $167.81 million in FY2023 (+22.5%), $136.99 million in FY2022 (+7.3%) and $127.7 million in FY2021 (-6.3%).
- Quarterly Interest Expenses has ranged from $31.57 million in Q1 2022 to $50.01 million in Q2 2026 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for six consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 33.7% in Q2 2023, against a decline of 14.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $50.01 million (Q2 2026), $49.12 million (Q1 2026) and $48.92 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn | - |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - | 286.96 Mn |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - | 281.16 Mn |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - | - |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - | - |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - | - |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn | 214.98 Mn |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - | 82.46 Mn |
| 10 | Federal Realty Investment Trust | 9.84 Bn | 9.40 Bn | - | 49.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.74 Mn |
| Jun 30, 2026 | 50.01 Mn |
| Mar 31, 2026 | 49.12 Mn |
| Dec 31, 2025 | 48.92 Mn |
| Sep 30, 2025 | 47.62 Mn |
| Jun 30, 2025 | 44.60 Mn |
| Mar 31, 2025 | 42.48 Mn |
| Dec 31, 2024 | 43.23 Mn |
| Sep 30, 2024 | 44.24 Mn |
| Jun 30, 2024 | 44.31 Mn |
| Mar 31, 2024 | 43.69 Mn |
| Dec 31, 2023 | 42.97 Mn |
| Sep 30, 2023 | 42.73 Mn |
| Jun 30, 2023 | 42.88 Mn |
| Mar 31, 2023 | 39.23 Mn |
| Dec 31, 2022 | 38.28 Mn |
| Jun 30, 2022 | 32.07 Mn |
| Mar 31, 2022 | 31.57 Mn |
| Dec 31, 2021 | 32.19 Mn |
| Sep 30, 2021 | 32.25 Mn |
Federal Realty Investment Trust Interest Expense 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=interest-expense&ticker=FRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "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=interest-expense&ticker=FRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();