MODULAR MEDICAL, INC.: 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 2010-07-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• MODULAR MEDICAL, INC.: total assets
• MODULAR MEDICAL, INC.: total liabilities
• MODULAR MEDICAL, INC.: stockholders equity
• MODULAR MEDICAL, INC.: cash and cash equivalents
• MODULAR MEDICAL, INC.: net income or loss
• MODULAR MEDICAL, INC.: operating cash flow
• MODULAR MEDICAL, INC.: capital expenditure payments
• MODULAR MEDICAL, INC.: revenue
• MODULAR MEDICAL, INC.: investing cash flow
• MODULAR MEDICAL, INC.: retained earnings or deficit
• MODULAR MEDICAL, INC.: basic weighted-average shares
• MODULAR MEDICAL, INC.: diluted weighted-average shares
• MODULAR MEDICAL, INC.: basic earnings per share
• MODULAR MEDICAL, INC.: diluted earnings per share
• MODULAR MEDICAL, INC.: income tax expense or benefit
• MODULAR MEDICAL, INC.: net property, plant and equipment
• MODULAR MEDICAL, INC.: share-based compensation expense
• MODULAR MEDICAL, INC.: operating income or loss
• MODULAR MEDICAL, INC.: current assets
• MODULAR MEDICAL, INC.: interest expense
• MODULAR MEDICAL, INC.: current liabilities
• MODULAR MEDICAL, INC.: current accounts payable
• MODULAR MEDICAL, INC.: common-stock repurchase payments
• MODULAR MEDICAL, INC.: operating expenses
• MODULAR MEDICAL, INC.: research and development expense

Inspect the source

Entity

MODULAR MEDICAL, INC. / CIK 0001074871

Captured

2026-09-20T05:20:05.018Z

SEC response SHA-256

35d9c7a349fec6383baca56e8aa4820d6d19d2f4955371898b75285f3bf308e4

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/0001074871.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"])))