TECHPRECISION CORP: gross profit

What this measure means

Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.

Exact concept: us-gaap:GrossProfit. 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 2010-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• TECHPRECISION CORP: total assets
• TECHPRECISION CORP: total liabilities
• TECHPRECISION CORP: stockholders equity
• TECHPRECISION CORP: cash and cash equivalents
• TECHPRECISION CORP: net income or loss
• TECHPRECISION CORP: operating cash flow
• TECHPRECISION CORP: capital expenditure payments
• TECHPRECISION CORP: revenue
• TECHPRECISION CORP: contract revenue excluding tax
• TECHPRECISION CORP: financing cash flow
• TECHPRECISION CORP: investing cash flow
• TECHPRECISION CORP: retained earnings or deficit
• TECHPRECISION CORP: basic weighted-average shares
• TECHPRECISION CORP: diluted weighted-average shares
• TECHPRECISION CORP: basic earnings per share
• TECHPRECISION CORP: diluted earnings per share
• TECHPRECISION CORP: income tax expense or benefit
• TECHPRECISION CORP: net property, plant and equipment
• TECHPRECISION CORP: share-based compensation expense
• TECHPRECISION CORP: operating income or loss
• TECHPRECISION CORP: current assets
• TECHPRECISION CORP: interest expense
• TECHPRECISION CORP: current liabilities
• TECHPRECISION CORP: current accounts payable
• TECHPRECISION CORP: net current accounts receivable
• TECHPRECISION CORP: common-stock repurchase payments
• TECHPRECISION CORP: net inventory
• TECHPRECISION CORP: cost of revenue
• TECHPRECISION CORP: selling, general and administrative expense
• TECHPRECISION CORP: research and development expense

Inspect the source

Entity

TECHPRECISION CORP / CIK 0001328792

Captured

2026-09-20T07:53:04.426Z

SEC response SHA-256

f5185cc1ed9901fe9f2d9d62422a98254535e717e8e9a0d4092229cb80294954

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/0001328792.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"])))