NUTRIBAND INC.: total liabilities

What this measure means

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

Exact concept: us-gaap:Liabilities. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2016-01-31 to 2026-01-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

NUTRIBAND INC. / CIK 0001676047

Captured

2026-09-21T17:24:36.556Z

SEC response SHA-256

20b50b68c7583f3e19dd70d83225724f5c9de325e2dc4e15d1a3ea0cb5b4a7dd

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/0001676047.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"])))