DarioHealth Corp.: financing cash flow

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2016-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

DarioHealth Corp. / CIK 0001533998

Captured

2026-09-20T09:16:34.053Z

SEC response SHA-256

8c524c61fa46c2531eea7286cfb0614b41c397fc0b2f416d3e5df141148eb6b9

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/0001533998.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"])))