Asian markets traded mixed on Friday as investors tracked the second day of high stakes talks between the US President Donald Trump and Chinese President Xi Jinping.
US stock market ended higher on Thursday, lifted by a rally in tech stocks, with the S&P 500 and the Nasdaq closing at record highs.
Here's a table showing how US stocks performed on Thursday:
Stock/Index | LTP | Change ($) | Change (%) | Day High | Day Low | 52-Week High | 52-Week Low |
|---|---|---|---|---|---|---|---|
Alphabet | 397.17 | -1.87 | -0.47% | 399.1 | 392.73 | 399.93 | 163.33 |
Apple | 298.21 | -0.66 | -0.22% | 300.45 | 295.38 | 300.92 | 193.46 |
Meta | 618.43 | 1.8 | 0.29% | 623.73 | 615 | 796.25 | 520.26 |
Tesla | 443.3 | -1.97 | -0.44% | 451.98 | 441.16 | 498.83 | 273.21 |
Netflix | 86.94 | -0.62 | -0.71% | 88.5 | 86.65 | 134.12 | 75.01 |
Amazon | 267.22 | -2.91 | -1.08% | 270.78 | 266.63 | 278.56 | 196 |
Microsoft | 409.43 | 4.22 | 1.04% | 411.84 | 400.88 | 555.45 | 356.28 |
Dow Jones | 50063.46 | 370.26 | 0.75% | 50200.54 | 49843.58 | 50512.79 | 41354.09 |
Nasdaq | 29580.3 | 213.36 | 0.73% | 29678.89 | 29350.1 | 29678.89 | 20777.97 |
Source: Equitymaster
At present, the BSE Sensex is trading 272 points higher, and the NSE Nifty is trading 81 points higher.
Infosys, Tech Mahindra, and TCS are among the top gainers today.
SBI, Bharat Elec, and Asian Paints, on the other hand, are among the top losers today.
The BSE 150 Midcap index is trading 0.1% lower, and the BSE 250 SmallCap index is trading 0.5% lower.
Sectoral indices are trading mixed today, with stocks in the metal sector and power sector witnessing selling pressure. Meanwhile, stocks in the IT sector and the auto sector witnessed buying.
The rupee is trading at Rs 95.9 against the US dollar.
Tata Motors PV Q4 FY26 Results
Shares of Tata Motors Passenger Vehicles are in focus today after the company reported its Q4 FY26 results.
On a consolidated basis, the company reported a 32% year-on-year decline in net profit to Rs 57.8 billion (bn) in Q4FY26, compared to Rs 84.7 bn in the same period last year.
Consolidated revenue from operations rose 7% YoY to Rs 1.05 trillion during the quarter.
The board has also recommended a final dividend of Rs 3 per equity share for the financial year 2025-2026, subject to approval of shareholders.
HUDCO Q4 FY26 Results
Shares of Housing and Urban Development Corporation (HUDCO) came into focus after the company reported its Q4 FY26 results.
The company reported strong operational growth in Q4FY26, with consolidated revenue rising 25.3% YoY to Rs 35.6 bn, compared to Rs 28.5 bn in Q4FY25.
Net interest income (NII) increased 16.6% YoY to Rs 11.5 bn from Rs 9.6 bn in the corresponding quarter last year.
However, profitability was impacted by higher expenses, mainly due to a net loss on fair value changes of Rs 4.7 bn during Q4FY26, compared to nil in the year-ago period and Rs 2.9 bn in Q3FY26.
Despite this, consolidated net profit surged 172% YoY to Rs 19.8 bn from Rs 7.2 bn in Q4FY25, largely driven by a deferred tax credit of Rs 15.3 bn, which significantly reduced the company's tax outgo.
For the full year FY26, total revenue stood at Rs 131.5 bn, registering a 27.5% increase compared to Rs 103.1 bn in FY25.

HCLTech Partners Red Hat for Enterprise AI
HCLTech has partnered with Red Hat to help enterprises deploy and manage AI applications more efficiently across data centers, cloud, and edge environments.
As part of the collaboration, HCLTech will integrate Red Hat AI Enterprise into its AI Factory platform to offer businesses a more scalable and enterprise-ready AI infrastructure solution.
The joint offering aims to reduce AI deployment and operating costs through better model optimization, distributed computing, and unified management systems. It will also provide stronger data governance and tracking capabilities to support reliable AI operations at scale.
According to HCLTech, the partnership is focused on helping enterprises move from AI experimentation to large-scale business adoption while improving measurable business outcomes.
Red Hat said the collaboration will enable organizations to run AI workloads consistently across different environments using enterprise-grade open-source technologies.




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