GILAT SATELLITE NETWORKS LTD.: operating cash flow

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

GILAT SATELLITE NETWORKS LTD. / CIK 0000897322

Captured

2026-09-20T05:04:42.298Z

SEC response SHA-256

fd0f53a0e9676b0a3c6b66b04978014aade47d718873687af97608822dbc3dcf

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/0000897322.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"])))