NovaBridge Biosciences: basic earnings per share

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 2017-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

• CNY/shares: 2017-01-01 to 2023-12-31. This unit’s selected history ends more than two years before capture.
• USD/shares: 2019-01-01 to 2025-12-31.

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Related financial histories

• NovaBridge Biosciences: total assets
• NovaBridge Biosciences: total liabilities
• NovaBridge Biosciences: stockholders equity
• NovaBridge Biosciences: cash and cash equivalents
• NovaBridge Biosciences: net income or loss
• NovaBridge Biosciences: operating cash flow
• NovaBridge Biosciences: capital expenditure payments
• NovaBridge Biosciences: revenue
• NovaBridge Biosciences: contract revenue excluding tax
• NovaBridge Biosciences: financing cash flow
• NovaBridge Biosciences: investing cash flow
• NovaBridge Biosciences: retained earnings or deficit
• NovaBridge Biosciences: basic weighted-average shares
• NovaBridge Biosciences: diluted weighted-average shares
• NovaBridge Biosciences: diluted earnings per share
• NovaBridge Biosciences: income tax expense or benefit
• NovaBridge Biosciences: net property, plant and equipment
• NovaBridge Biosciences: share-based compensation expense
• NovaBridge Biosciences: operating income or loss
• NovaBridge Biosciences: current assets
• NovaBridge Biosciences: interest expense
• NovaBridge Biosciences: current liabilities
• NovaBridge Biosciences: goodwill carrying amount
• NovaBridge Biosciences: net finite-lived intangible assets
• NovaBridge Biosciences: net current accounts receivable
• NovaBridge Biosciences: operating expenses
• NovaBridge Biosciences: net inventory
• NovaBridge Biosciences: cost of revenue
• NovaBridge Biosciences: research and development expense

Inspect the source

Entity

NovaBridge Biosciences / CIK 0001778016

Captured

2026-09-21T17:30:37.009Z

SEC response SHA-256

919ae6d5c4d31cdabdd1b17e84729e161e7a34162bf41f2dc95f437b9c6abb04

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/0001778016.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"])))