EMPIRE STATE REALTY TRUST, INC.: revenue

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2011-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• EMPIRE STATE REALTY TRUST, INC.: total assets
• EMPIRE STATE REALTY TRUST, INC.: total liabilities
• EMPIRE STATE REALTY TRUST, INC.: stockholders equity
• EMPIRE STATE REALTY TRUST, INC.: cash and cash equivalents
• EMPIRE STATE REALTY TRUST, INC.: operating cash flow
• EMPIRE STATE REALTY TRUST, INC.: contract revenue excluding tax
• EMPIRE STATE REALTY TRUST, INC.: financing cash flow
• EMPIRE STATE REALTY TRUST, INC.: investing cash flow
• EMPIRE STATE REALTY TRUST, INC.: retained earnings or deficit
• EMPIRE STATE REALTY TRUST, INC.: basic weighted-average shares
• EMPIRE STATE REALTY TRUST, INC.: diluted weighted-average shares
• EMPIRE STATE REALTY TRUST, INC.: basic earnings per share
• EMPIRE STATE REALTY TRUST, INC.: diluted earnings per share
• EMPIRE STATE REALTY TRUST, INC.: income tax expense or benefit
• EMPIRE STATE REALTY TRUST, INC.: share-based compensation expense
• EMPIRE STATE REALTY TRUST, INC.: operating income or loss
• EMPIRE STATE REALTY TRUST, INC.: interest expense
• EMPIRE STATE REALTY TRUST, INC.: common-stock repurchase payments
• EMPIRE STATE REALTY TRUST, INC.: operating expenses
• EMPIRE STATE REALTY TRUST, INC.: selling, general and administrative expense

Inspect the source

Entity

EMPIRE STATE REALTY TRUST, INC. / CIK 0001541401

Captured

2026-09-20T09:17:41.463Z

SEC response SHA-256

9976e4c5d463b6967cdbaf57b4cd88aa34420140cc2b847773fd4a0f4d1a50a0

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
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001541401.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"])))