Recon Technology, Ltd: investing cash flow

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 2010-07-01 to 2025-06-30. The SEC response was captured on 2026-09-20.

Coverage by original unit

• CNY: 2010-07-01 to 2025-06-30.
• USD: 2011-07-01 to 2025-06-30.

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Recon Technology, Ltd / CIK 0001442620

Captured

2026-09-20T09:04:13.259Z

SEC response SHA-256

f4c45ae3650102a55be6d9046976993b0e150694deeba5b254aa2f84f231ee7a

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/0001442620.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"])))