Federal Realty Investment Trust: financial reference
Federal Realty Investment Trust revenue: $1.28 billion for the year ending 2025-12-31. Net income: $411.1 million.
Reported financial histories
Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.
| Measure | Period start | Period end | Value | Unit | Filed |
|---|---|---|---|---|---|
| Total assets | - | 2025-12-31 | 9,130,460,000 | USD | 2026-02-12 |
| Total liabilities | - | 2025-12-31 | 5,629,819,000 | USD | 2026-02-12 |
| Stockholders equity | - | 2025-12-31 | 3,248,731,000 | USD | 2026-02-12 |
| Cash and cash equivalents | - | 2025-12-31 | 107,415,000 | USD | 2026-02-12 |
| Net income or loss | 2025-01-01 | 2025-12-31 | 411,077,000 | USD | 2026-02-12 |
| Operating cash flow | 2025-01-01 | 2025-12-31 | 622,378,000 | USD | 2026-02-12 |
| Revenue | 2025-01-01 | 2025-12-31 | 1,278,975,000 | USD | 2026-02-12 |
| Financing cash flow | 2025-01-01 | 2025-12-31 | 102,953,000 | USD | 2026-02-12 |
| Investing cash flow | 2025-01-01 | 2025-12-31 | -743,068,000 | USD | 2026-02-12 |
| Basic weighted-average shares | 2025-01-01 | 2025-12-31 | 85,852,000 | shares | 2026-02-12 |
| Diluted weighted-average shares | 2025-01-01 | 2025-12-31 | 86,405,000 | shares | 2026-02-12 |
| Basic earnings per share | 2025-01-01 | 2025-12-31 | 4.68 | USD/shares | 2026-02-12 |
| Diluted earnings per share | 2025-01-01 | 2025-12-31 | 4.68 | USD/shares | 2026-02-12 |
| Share-based compensation expense | 2025-01-01 | 2025-12-31 | 14,608,000 | USD | 2026-02-12 |
| Operating income or loss | 2025-01-01 | 2025-12-31 | 602,199,000 | USD | 2026-02-12 |
| Interest expense | 2025-01-01 | 2025-12-31 | 183,614,000 | USD | 2026-02-12 |
| Net finite-lived intangible assets | - | 2018-12-31 | 83,732,000 | USD | 2019-02-13 |
| Operating expenses | 2025-01-01 | 2025-12-31 | 833,638,000 | USD | 2026-02-12 |
| Common shares outstanding | - | 2025-12-31 | 86,266,009 | shares | 2026-02-12 |
| Cash including restricted cash | - | 2025-12-31 | 117,706,000 | USD | 2026-02-12 |
| Accumulated other comprehensive income or loss | - | 2025-12-31 | 2,047,000 | USD | 2026-02-12 |
| Total equity including noncontrolling interests | - | 2025-12-31 | 3,318,986,000 | USD | 2026-02-12 |
| Operating lease right-of-use asset | - | 2025-12-31 | 83,120,000 | USD | 2026-02-12 |
| Operating lease liability | - | 2025-12-31 | 72,304,000 | USD | 2026-02-12 |
| Long-term debt | - | 2025-12-31 | 4,963,602,000 | USD | 2026-02-12 |
| Profit or loss including noncontrolling interests | 2025-01-01 | 2025-12-31 | 423,648,000 | USD | 2026-02-12 |
| Comprehensive income or loss | 2025-01-01 | 2025-12-31 | 408,384,000 | USD | 2026-02-12 |
| Net income available to common stockholders | 2025-01-01 | 2025-12-31 | 403,045,000 | USD | 2026-02-12 |
| General and administrative expense | 2025-01-01 | 2025-12-31 | 46,913,000 | USD | 2026-02-12 |
| Interest paid, net | 2025-01-01 | 2025-12-31 | 171,945,000 | USD | 2026-02-12 |
| Income taxes paid, net | 2025-01-01 | 2025-12-31 | 369,000 | USD | 2026-02-12 |
| Proceeds from issuing common stock | 2025-01-01 | 2025-12-31 | 54,466,000 | USD | 2026-02-12 |
| Operating lease payments | 2025-01-01 | 2025-12-31 | 6,214,000 | USD | 2026-02-12 |
Filings
- 10-Q filed 2026-05-01
- 10-K filed 2026-02-12
- 10-Q filed 2025-10-31
- 10-Q filed 2025-08-06
- 10-Q filed 2025-05-08
64 Federal Realty Investment Trust filings with published measures: what each annual or quarterly report tagged, with the periods it covered, as reported in that filing. The histories above show the latest-filed value per period.
Inspect the source
- Entity
- FEDERAL REALTY INVESTMENT TRUST / CIK 0000034903
- Captured
- SEC response SHA-256
223c38e1a66dd5d276ac2fd34034110f229c574c19f5594dcec665dce9d1ecd7
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
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- Read the MCP server source and integration examples
The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000034903.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))