MARKER THERAPEUTICS, INC.: net income or loss

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2000-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• MARKER THERAPEUTICS, INC.: total assets
• MARKER THERAPEUTICS, INC.: total liabilities
• MARKER THERAPEUTICS, INC.: stockholders equity
• MARKER THERAPEUTICS, INC.: cash and cash equivalents
• MARKER THERAPEUTICS, INC.: operating cash flow
• MARKER THERAPEUTICS, INC.: capital expenditure payments
• MARKER THERAPEUTICS, INC.: revenue
• MARKER THERAPEUTICS, INC.: financing cash flow
• MARKER THERAPEUTICS, INC.: investing cash flow
• MARKER THERAPEUTICS, INC.: retained earnings or deficit
• MARKER THERAPEUTICS, INC.: basic weighted-average shares
• MARKER THERAPEUTICS, INC.: diluted weighted-average shares
• MARKER THERAPEUTICS, INC.: basic earnings per share
• MARKER THERAPEUTICS, INC.: diluted earnings per share
• MARKER THERAPEUTICS, INC.: income tax expense or benefit
• MARKER THERAPEUTICS, INC.: net property, plant and equipment
• MARKER THERAPEUTICS, INC.: share-based compensation expense
• MARKER THERAPEUTICS, INC.: operating income or loss
• MARKER THERAPEUTICS, INC.: current assets
• MARKER THERAPEUTICS, INC.: current liabilities
• MARKER THERAPEUTICS, INC.: current accounts payable
• MARKER THERAPEUTICS, INC.: common-stock repurchase payments
• MARKER THERAPEUTICS, INC.: operating expenses
• MARKER THERAPEUTICS, INC.: research and development expense

Inspect the source

Entity

MARKER THERAPEUTICS, INC. / CIK 0001094038

Captured

2026-09-20T05:22:11.393Z

SEC response SHA-256

11a45295baae8ad4450041d3d51c2454c6531734b6bbb806e124ea5eb0db02da

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/0001094038.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"])))