BRAVO MULTINATIONAL INCORPORATED: 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 2012-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• BRAVO MULTINATIONAL INCORPORATED: total assets
• BRAVO MULTINATIONAL INCORPORATED: stockholders equity
• BRAVO MULTINATIONAL INCORPORATED: cash and cash equivalents
• BRAVO MULTINATIONAL INCORPORATED: net income or loss
• BRAVO MULTINATIONAL INCORPORATED: operating cash flow
• BRAVO MULTINATIONAL INCORPORATED: revenue
• BRAVO MULTINATIONAL INCORPORATED: financing cash flow
• BRAVO MULTINATIONAL INCORPORATED: retained earnings or deficit
• BRAVO MULTINATIONAL INCORPORATED: basic weighted-average shares
• BRAVO MULTINATIONAL INCORPORATED: diluted weighted-average shares
• BRAVO MULTINATIONAL INCORPORATED: basic earnings per share
• BRAVO MULTINATIONAL INCORPORATED: diluted earnings per share
• BRAVO MULTINATIONAL INCORPORATED: net property, plant and equipment
• BRAVO MULTINATIONAL INCORPORATED: share-based compensation expense
• BRAVO MULTINATIONAL INCORPORATED: operating income or loss
• BRAVO MULTINATIONAL INCORPORATED: current assets
• BRAVO MULTINATIONAL INCORPORATED: interest expense
• BRAVO MULTINATIONAL INCORPORATED: current liabilities
• BRAVO MULTINATIONAL INCORPORATED: current accounts payable
• BRAVO MULTINATIONAL INCORPORATED: operating expenses
• BRAVO MULTINATIONAL INCORPORATED: net inventory

Inspect the source

Entity

BRAVO MULTINATIONAL INCORPORATED / CIK 0001444839

Captured

2026-09-20T09:04:27.137Z

SEC response SHA-256

d1803d585abd1b36d11cf94ddadf897e5f7022e13729813addab7901a7054b6d

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/0001444839.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"])))