Jingbo Technology, Inc.: interest expense

What this measure means

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. 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 2023-03-01 to 2026-02-28. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Jingbo Technology, Inc.: total assets
• Jingbo Technology, Inc.: total liabilities
• Jingbo Technology, Inc.: stockholders equity
• Jingbo Technology, Inc.: cash and cash equivalents
• Jingbo Technology, Inc.: net income or loss
• Jingbo Technology, Inc.: operating cash flow
• Jingbo Technology, Inc.: contract revenue excluding tax
• Jingbo Technology, Inc.: financing cash flow
• Jingbo Technology, Inc.: investing cash flow
• Jingbo Technology, Inc.: retained earnings or deficit
• Jingbo Technology, Inc.: basic weighted-average shares
• Jingbo Technology, Inc.: diluted weighted-average shares
• Jingbo Technology, Inc.: basic earnings per share
• Jingbo Technology, Inc.: diluted earnings per share
• Jingbo Technology, Inc.: income tax expense or benefit
• Jingbo Technology, Inc.: net property, plant and equipment
• Jingbo Technology, Inc.: share-based compensation expense
• Jingbo Technology, Inc.: operating income or loss
• Jingbo Technology, Inc.: current assets
• Jingbo Technology, Inc.: current liabilities
• Jingbo Technology, Inc.: current accounts payable
• Jingbo Technology, Inc.: net finite-lived intangible assets
• Jingbo Technology, Inc.: net current accounts receivable
• Jingbo Technology, Inc.: operating expenses
• Jingbo Technology, Inc.: net inventory
• Jingbo Technology, Inc.: gross profit
• Jingbo Technology, Inc.: cost of revenue
• Jingbo Technology, Inc.: research and development expense

Inspect the source

Entity

Jingbo Technology, Inc. / CIK 0001647822

Captured

2026-09-21T17:23:16.876Z

SEC response SHA-256

d0ab3ebb4d8a0bd8e1108bfe7488efb21e4c9f227b3b0fd2344112bda2bc04ac

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/0001647822.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"])))