ALEXANDERS INC: contract revenue excluding tax
Contract revenue excluding tax for ALEXANDERS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ALEXANDERS INC financial histories
What this measure means
Revenue from customer contracts excluding assessed taxes under this specific taxonomy concept. It is not automatically comparable to older revenue tags.
Exact concept: us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax. 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 2016-01-01 to 2018-12-31. The SEC response was captured on 2026-09-19.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2018-01-01 | 2018-12-31 | 232,825,000 | USD | 2019-02-11 | 10-K · 0000003499-19-000004 |
| 2017-01-01 | 2017-12-31 | 230,574,000 | USD | 2019-02-11 | 10-K · 0000003499-19-000004 |
| 2016-01-01 | 2016-12-31 | 226,936,000 | USD | 2019-02-11 | 10-K · 0000003499-19-000004 |
Related financial histories
- ALEXANDERS INC: total assets
- ALEXANDERS INC: total liabilities
- ALEXANDERS INC: stockholders equity
- ALEXANDERS INC: cash and cash equivalents
- ALEXANDERS INC: net income or loss
- ALEXANDERS INC: operating cash flow
- ALEXANDERS INC: revenue
- ALEXANDERS INC: financing cash flow
- ALEXANDERS INC: investing cash flow
- ALEXANDERS INC: retained earnings or deficit
- ALEXANDERS INC: basic weighted-average shares
- ALEXANDERS INC: diluted weighted-average shares
- ALEXANDERS INC: basic earnings per share
- ALEXANDERS INC: diluted earnings per share
- ALEXANDERS INC: income tax expense or benefit
- ALEXANDERS INC: share-based compensation expense
- ALEXANDERS INC: operating income or loss
- ALEXANDERS INC: operating expenses
Inspect the source
- Entity
- ALEXANDERS INC / CIK 0000003499
- Captured
- 2026-09-19T14:42:51.139Z
- SEC response SHA-256
d6a17335bc2923657aeed802162404e4e0746fe690b1714e532614a444eabc7e
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
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000003499.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"])))