FINTRADE SHERPA, INC.: other nonoperating income or expense

What this measure means

Other income or expense outside operations under this concept. The composition is filer-specific and can include one-time items.

Exact concept: us-gaap:OtherNonoperatingIncomeExpense. 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 2014-01-01 to 2022-12-31. The SEC response was captured on 2026-09-21.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• FINTRADE SHERPA, INC.: total assets
• FINTRADE SHERPA, INC.: total liabilities
• FINTRADE SHERPA, INC.: stockholders equity
• FINTRADE SHERPA, INC.: cash and cash equivalents
• FINTRADE SHERPA, INC.: net income or loss
• FINTRADE SHERPA, INC.: operating cash flow
• FINTRADE SHERPA, INC.: revenue
• FINTRADE SHERPA, INC.: financing cash flow
• FINTRADE SHERPA, INC.: investing cash flow
• FINTRADE SHERPA, INC.: retained earnings or deficit
• FINTRADE SHERPA, INC.: operating income or loss
• FINTRADE SHERPA, INC.: current assets
• FINTRADE SHERPA, INC.: interest expense
• FINTRADE SHERPA, INC.: current liabilities
• FINTRADE SHERPA, INC.: net current accounts receivable
• FINTRADE SHERPA, INC.: accumulated other comprehensive income or loss
• FINTRADE SHERPA, INC.: general and administrative expense
• FINTRADE SHERPA, INC.: proceeds from issuing common stock
• FINTRADE SHERPA, INC.: change in accounts receivable

Inspect the source

Entity

FINTRADE SHERPA, INC. / CIK 0001319643

Captured

2026-09-21T17:17:31.728Z

SEC response SHA-256

d686a24c796b57dbc4d3fadf2b81c3c7b1c3c695328962911ad529209543c4da

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/0001319643.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"])))