Data Patterns Q1FY27: Revenue up 17%, profit down

Q1FY27 results at a glance

Data Patterns (India) Ltd reported a strong rise in operating revenue for the quarter ended June 30, 2026 (Q1FY27), even as profitability weakened. Revenue from operations increased 16.8% year-on-year to ₹116.03 crore, compared with ₹99.33 crore in the same quarter last year. Net profit for the quarter stood at ₹22.06 crore, down 13.5% year-on-year, according to the company’s unaudited financial results. The quarter highlights a familiar pattern for many manufacturing and engineering-led businesses: healthy order execution and billing, offset by cost inflation in the operating base.

The Board of Directors approved the unaudited results at its meeting held on July 30, 2026. The financials were reviewed under Regulation 33 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. Statutory auditor Deloitte Haskins & Sells issued an unmodified limited review report on the financial statement.

Revenue growth driven by operations

The headline number for Q1FY27 was the improvement in revenue from operations to ₹116.03 crore. The comparable figure for Q1FY26 was ₹99.33 crore, implying a 16.8% year-on-year rise. In addition to operating revenue, other income was ₹7.31 crore, taking total income for the quarter to ₹123.34 crore.

While the company did not provide granular segment details in the shared extract, the results note that top-line growth did not translate into higher profit. That mismatch is important for investors tracking execution quality and cost control in a defence electronics manufacturer, where project mix and operating discipline can materially influence quarterly margins.

Why net profit fell despite higher revenue

Data Patterns reported that net profit declined because employee costs and other expenses rose during the quarter. The company also pointed to higher operational costs, including material consumption and employee benefits, which outpaced the revenue gains. Total expenses for Q1FY27 were ₹93.86 crore.

This resulted in profit before exceptional items and tax of ₹29.48 crore. After a tax expense of ₹7.42 crore, profit for the period came in at ₹22.06 crore. The company also reported total comprehensive income of ₹21.65 crore for the quarter.

EPS and per-share performance

Earnings per equity share (EPS), both basic and diluted, was reported at ₹3.94 for the quarter ended June 30, 2026. For investors, EPS is a quick way to map quarterly profit to per-share performance, though it should be read alongside cost trends that affected the quarter.

QIP proceeds utilisation update

The company disclosed that QIP proceeds utilisation stands at 94.6%. The update gives a snapshot of capital deployment progress following the fundraising, and it is typically monitored to understand whether the intended investment or balance sheet objectives are being executed as planned.

Governance, review process, and audit status

The company stated that its Board approved the unaudited financial results on July 30, 2026. It also confirmed that the results were reviewed in line with SEBI LODR requirements under Regulation 33.

Deloitte Haskins & Sells issued an unmodified limited review report. An unmodified conclusion indicates the auditor did not flag material misstatements based on the procedures performed for the limited review.

Earnings call scheduled: date, time, and leadership 참석

Data Patterns has scheduled an earnings conference call on July 31, 2026 at 12:30 PM IST to discuss the Q1FY27 financial results. The call is hosted by Go India Advisors and is expected to include senior leadership, including Chairman and Managing Director Srinivasagopalan Rangarajan and CFO Venkata Subramanian.

Participants can dial in using +91 22 6280 1557 or +91 22 7115 8383, and the company has advised investors to pre-register ahead of the call. For further information, investors may contact Go India Advisors representatives Prayasi Patel (prayasi@goindiaadvisors.com) or Sheetal Khanduja (sheetal@goindiaadvisors.com).

Full-year context: FY ended March 31, 2026

Alongside the quarterly update, the provided information includes full-year figures for the year ended March 31, 2026. Data Patterns reported total income of ₹952.73 crore and total expenses of ₹586.18 crore. Profit before tax for the year was ₹363.54 crore, and net profit was ₹271.37 crore. Full-year EPS was ₹48.47.

These annual numbers provide context on the scale of operations and profitability over a full cycle, while the Q1FY27 outcome shows that quarterly profitability can move differently from revenue depending on cost intensity in the period.

Key financial snapshot

The following table summarises the main Q1FY27 numbers cited in the disclosure and comparable Q1FY26 revenue from operations.

Market impact and what to track next

The immediate takeaway from Q1FY27 is the divergence between revenue growth and profit contraction. For investors, the quarter places emphasis on monitoring the trajectory of employee costs, other expenses, and material consumption, since these were specifically cited as the reason profit fell despite higher operating revenue.

The scheduled conference call on July 31, 2026 is likely to be the next key checkpoint where management can provide additional colour around the cost build-up, execution profile for the quarter, and any operational actions already underway. Any clarification on cost drivers, supported by the published financials, can help market participants interpret whether the quarter reflects temporary project-related cost timing or a more persistent expense trend.

Conclusion

Data Patterns delivered a 16.8% year-on-year increase in Q1FY27 revenue from operations to ₹116.03 crore, but net profit declined 13.5% to ₹22.06 crore as expenses rose. The Board approved the unaudited results on July 30, 2026, and Deloitte Haskins & Sells issued an unmodified limited review report. The company’s next scheduled event is its earnings conference call on July 31, 2026 at 12:30 PM IST, where investors will look for further details on cost pressures and quarterly performance drivers.