Dolat Algotech Q1 FY27 profit up 38% on 27% sales growth

Dolat Algotech reported a strong start to FY27, led by a sharp year-on-year rise in profitability and higher operating income in the June 2026 quarter. The company’s consolidated net profit increased 38% YoY to ₹53.9 crore for Q1 FY27 (quarter ended June 30, 2026). Growth was supported by a 26% rise in total income from operations, which moved to about ₹140.9 crore compared with about ₹111.3 crore in the same quarter last year.

Standalone performance largely mirrored the consolidated trend. Standalone net profit rose 39% YoY to about ₹53.8 crore, while standalone revenue increased 37% YoY to about ₹114.3 crore, as per the reported quarterly figures.

Note on units: The source includes figures in ₹ million and ₹ crore. All absolute amounts below are presented in ₹ crore (₹1 crore = ₹10 million) for consistency.

Q1 FY27 consolidated performance: income and profit

For the June 2026 quarter, Dolat Algotech’s consolidated revenue from operations was reported at ₹140.40 crore, up from ₹110.60 crore in June 2025, translating into a 26.94% YoY increase. In another disclosure format, revenue from operations was reported as ₹140.398 crore versus ₹110.601 crore in Q1 FY26, indicating about a 27% YoY rise.

Total income for the consolidated entity was reported at about ₹140.85 crore for Q1 FY27, compared with about ₹111.28 crore in Q1 FY26. Net profit for the quarter was reported at about ₹53.86 crore versus about ₹38.93 crore in the year-ago quarter, implying a YoY increase of roughly 38%.

The company’s earnings per share (EPS) for the quarter stood at ₹3.06 (basic), compared with ₹2.20 in Q1 FY26, a 39% YoY increase.

Standalone results: similar momentum

Standalone numbers tracked the consolidated improvement for the June 2026 quarter. Standalone revenue from operations was reported at about ₹114.25 crore, compared with about ₹83.17 crore in Q1 FY26, reflecting a 37.3% YoY increase.

Standalone net profit was about ₹53.82 crore versus about ₹38.81 crore in Q1 FY26, indicating a 38.7% YoY rise (also presented as 39% in the summary highlights). Standalone EPS was reported at ₹3.06 for Q1 FY27, compared with ₹2.20 in the corresponding quarter last year.

Profitability snapshot: margins and pre-tax profit

The quarterly disclosure also included profitability indicators for the June 2026 quarter versus June 2025. Operating profit margin (OPM) was reported at 60.01% in June 2026 compared with 58.76% in June 2025.

Profit before depreciation and tax (PBDT) stood at ₹73.92 crore versus ₹55.34 crore, while profit before tax (PBT) was ₹73.25 crore versus ₹54.85 crore. Net profit (NP) was reported at ₹53.82 crore versus ₹38.81 crore.

These line items indicate that profit growth outpaced revenue growth in the quarter, supported by stronger operating metrics in the reported comparison.

Profit attribution in consolidated accounts

In the consolidated results for Q1 FY27, profit attributable to owners of the company was reported at about ₹53.82 crore. Profit attributable to non-controlling interest was about ₹0.05 crore.

This split shows that the bulk of quarterly profit accrued to the company’s shareholders, based on the disclosed attribution.

Key reported numbers at a glance

How the quarter compares with FY26 trend

While Q1 FY27 started strong, the article also lists a weaker full-year comparison for FY26 versus FY25. Dolat Algotech reported revenue of ₹403.58 crore in FY26 compared with ₹529.90 crore in FY25, a decline of 23.84% year-on-year.

Operating profit for FY26 was ₹181.97 crore compared with ₹300.94 crore in FY25, down 39.53% YoY. Net profit for FY26 was ₹129.33 crore versus ₹216.06 crore in FY25, a drop of 40.14% YoY.

This contrast highlights that the June 2026 quarter’s YoY improvement comes after a year in which the company’s annual revenue and profitability were reported lower than the previous year.

Recent quarterly trajectory before June 2026

The article also provides March 2026 quarter highlights. Revenue was reported at ₹125.89 crore in March 2026 versus ₹108.17 crore in December 2025, up 16.38% QoQ. Operating profit was ₹64.53 crore versus ₹54.42 crore, up 18.58% QoQ, and profit was ₹46.81 crore versus ₹38.99 crore, up 20.06% QoQ.

In another set of reported quarterly numbers, consolidated net sales were ₹125.89 crore in March 2026, up 10.52% from ₹113.91 crore in March 2025. Consolidated quarterly net profit was ₹46.72 crore in March 2026, up 17.76% from ₹39.67 crore in March 2025, with EBITDA at ₹76.41 crore versus ₹68.62 crore.

Standalone net sales for March 2026 were reported at ₹100.18 crore, up 15.62% from ₹86.64 crore in March 2025. Standalone EBITDA for March 2026 was ₹70.75 crore versus ₹61.85 crore, and EPS increased to ₹2.65 from ₹2.25.

Stock details and identifiers

Dolat Algotech trades under the symbol DOLATALGO on the NSE and 505526 on the BSE. The ISIN provided is INE966A01022.

The article also mentions a market price of ₹67.65 as of 2026-08-05 15:31:00.

Market impact: what the numbers indicate

The reported Q1 FY27 results show a clear YoY step-up in both revenue and profit, with EPS rising to ₹3.06 from ₹2.20. Margin data in the June 2026 quarter also indicates an improvement in OPM to 60.01% from 58.76% a year earlier.

At the same time, the FY26 versus FY25 annual comparison included in the article shows a sharp decline in full-year revenue and profit in FY26. For investors, the combination of a strong quarterly YoY print and a weaker annual trend underscores the importance of tracking whether the June-quarter momentum is sustained in subsequent quarters.

Conclusion

Dolat Algotech’s Q1 FY27 performance, with consolidated net profit up about 38% YoY to ₹53.9 crore and revenue up about 27% YoY to around ₹140.9 crore, marks a strong start to the year on the numbers disclosed. Standalone results were broadly similar, with comparable profit growth and faster revenue growth.

The next key datapoints for the market will be subsequent quarterly results that show whether the company can maintain this trajectory after the FY26 decline reported in the same dataset.