TechPrecision Corp

TechPrecision Corp (TPCS) Financials

$5.685

+0.138 (+2.43%)At close

TPCS Revenue Streams

TechPrecision Corp (TPCS) generates its revenue primarily from Defense, which accounts for 100.0% of total sales, equivalent to $8.09M. Understanding this concentration is critical for investors evaluating how TPCS navigates market cycles within the Industrial Machinery & Equipment industry.

TPCS Profitability and Margins

Evaluating the bottom line, TechPrecision Corp maintains a gross margin of 15.39%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -0.49%, while the net margin is -1.68%. These profitability ratios, combined with a Return on Equity (ROE) of -15.42%, provide a clear picture of how effectively TPCS converts its operational activities into shareholder value.

TPCS Comparative Benchmarking

In the context of the broader market, TPCS competes directly with industry leaders such as AIOS and DSWL. With a market capitalization of $57.42M, it holds a significant position in the sector. When comparing efficiency, TPCS's gross margin of 15.39% stands against AIOS's 11.15% and DSWL's 23.44%. Such benchmarking helps identify whether TechPrecision Corp is trading at a premium or discount relative to its financial performance.

TechPrecision Corp Financial Performance

TechPrecision's revenue for Q4 FY2026 was $8.1 million, down 15% year-over-year, but it reported a gross margin of 27.05% in Q2 2026, indicating potential for profitability improvements.

Financials

FY2027Q1
YoY:
+23.27%
9.10M
Total Revenue
FY2027Q1
YoY:
-90.28%
-45.00K
Operating Profit
FY2027Q1
YoY:
-74.37%
-153.00K
Net Income after Tax
FY2027Q1
YoY:
-66.67%
-0.02
EPS - Diluted
FY2027Q1
YoY:
-10.93%
-538.00K
Free Cash Flow
FY2027Q1
YoY:
+10.24%
15.39
Gross Profit Margin - %
FY2027Q1
YoY:
-38.85%
-9.57
FCF Margin - %
FY2027Q1
YoY:
-79.23%
-1.68
Net Margin - %
FY2022Q2
7.94
ROIC

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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