Nomura America Finance, LLC: 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 2008-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Nomura America Finance, LLC: total assets
• Nomura America Finance, LLC: total liabilities
• Nomura America Finance, LLC: stockholders equity
• Nomura America Finance, LLC: cash and cash equivalents
• Nomura America Finance, LLC: net income or loss
• Nomura America Finance, LLC: operating cash flow
• Nomura America Finance, LLC: capital expenditure payments
• Nomura America Finance, LLC: revenue
• Nomura America Finance, LLC: contract revenue excluding tax
• Nomura America Finance, LLC: financing cash flow
• Nomura America Finance, LLC: investing cash flow
• Nomura America Finance, LLC: retained earnings or deficit
• Nomura America Finance, LLC: diluted weighted-average shares
• Nomura America Finance, LLC: basic earnings per share
• Nomura America Finance, LLC: diluted earnings per share
• Nomura America Finance, LLC: income tax expense or benefit
• Nomura America Finance, LLC: net property, plant and equipment
• Nomura America Finance, LLC: share-based compensation expense
• Nomura America Finance, LLC: interest expense
• Nomura America Finance, LLC: goodwill carrying amount
• Nomura America Finance, LLC: net finite-lived intangible assets
• Nomura America Finance, LLC: common-stock repurchase payments

Inspect the source

Entity

Nomura America Finance, LLC / CIK 0001163653

Captured

2026-09-20T07:43:29.378Z

SEC response SHA-256

e5b5a5074e7e8a1c4c91dd0f898941a6e5a02629ca053f8fe53ebc1b627e2e42

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/0001163653.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"])))