Federal Home Loan Bank of New York: basic weighted-average shares

What this measure means

Time-weighted shares used for basic earnings per share. This denominator differs from shares outstanding at a single reporting date.

Exact concept: us-gaap:WeightedAverageNumberOfSharesOutstandingBasic. 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Federal Home Loan Bank of New York: total assets
• Federal Home Loan Bank of New York: total liabilities
• Federal Home Loan Bank of New York: stockholders equity
• Federal Home Loan Bank of New York: cash and cash equivalents
• Federal Home Loan Bank of New York: net income or loss
• Federal Home Loan Bank of New York: operating cash flow
• Federal Home Loan Bank of New York: financing cash flow
• Federal Home Loan Bank of New York: investing cash flow
• Federal Home Loan Bank of New York: retained earnings or deficit
• Federal Home Loan Bank of New York: basic earnings per share
• Federal Home Loan Bank of New York: net property, plant and equipment
• Federal Home Loan Bank of New York: interest expense
• Federal Home Loan Bank of New York: common-stock repurchase payments
• Federal Home Loan Bank of New York: common shares outstanding
• Federal Home Loan Bank of New York: cash including restricted cash
• Federal Home Loan Bank of New York: accumulated other comprehensive income or loss
• Federal Home Loan Bank of New York: operating lease right-of-use asset
• Federal Home Loan Bank of New York: operating lease liability
• Federal Home Loan Bank of New York: pre-tax income or loss from continuing operations
• Federal Home Loan Bank of New York: profit or loss including noncontrolling interests
• Federal Home Loan Bank of New York: comprehensive income or loss
• Federal Home Loan Bank of New York: net income available to common stockholders
• Federal Home Loan Bank of New York: depreciation expense
• Federal Home Loan Bank of New York: interest paid, net
• Federal Home Loan Bank of New York: proceeds from issuing common stock
• Federal Home Loan Bank of New York: operating lease payments

Inspect the source

Entity

Federal Home Loan Bank of New York / CIK 0001329842

Captured

2026-09-21T17:17:42.927Z

SEC response SHA-256

7a39f346725756426f57868d08e1c184377252b8192b7466afeb2eacf4ed8866

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/0001329842.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"])))