EARTH SCIENCE TECH, INC.: common-stock repurchase payments

What this measure means

Cash paid to reacquire common stock during the period. This is not an authorization limit or a direct measure of the net change in share count.

Exact concept: us-gaap:PaymentsForRepurchaseOfCommonStock. 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 2023-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

EARTH SCIENCE TECH, INC. / CIK 0001538495

Captured

2026-09-20T09:17:17.636Z

SEC response SHA-256

aece9a7d34a42165cb9fa81fcf4b3cb962a33272864a0eff6cb0d1175524a563

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/0001538495.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"])))