Stock Alert: Lupin, Bharti Airtel, Britannia Industries, Torrent Power
PNB Housing Finance shares are banned from F&O trading on 6 August 2025.
Upcoming Results:
Bajaj Auto, Bharat Forge, Divis Laboratories, Hero MotoCorp, Trent, Bharat Heavy Electricals, PVR Inox, Raymond, Raymond Lifestyle, Jindal Stainless, Bayer CropScience, Blue Star, Cera Sanitaryware, Datamatics Global Services, EID Parry India, Portean eGov Technologies, Fortis Healthcare, Gujarat Narmada Valley Fertilizers & Chemicals, Godrej Agrovet, Harsha Engineers International, Hinduja Global Solutions, Housing & Urban Development Corporation (HUDCO) will announce their quarterly result later today.
Stocks to Watch:
Lupin reported a 52.1% jump in consolidated net profit to Rs 1,218.03 crore in Q1 FY26 compared with Rs 801.31 crore in Q1 FY25. Net sales increased 11.8% YoY to Rs 6,163.75 crore in Q1 FY26.
Bharti Airtels consolidated net profit jumped 43% to Rs 5,947.90 crore on 28.5% increase in net sales to Rs 49,462.60 crore in Q1 FY26 over Q1 FY25.
Britannia Industries consolidated net profit rose 3% to Rs 520.72 crore in Q1 FY26 compared with Rs 505.64 crore in Q1 FY25. Net sales increased 9.8% YoY to Rs 4,534.86 crore in Q1 June 2025.
Torrent Power reported a 24.8% decline in consolidated net profit to Rs 731.44 crore in Q1 FY26 compared with Rs 972.24 crore in Q1 FY25. Net sales fell 12.5% YoY to Rs 7,906.37 crore in Q1 FY26.
Prestige Estate Projects consolidated net profit increased 25.6% to Rs 292.50 crore on 23.9% rise in net sales to Rs 2307.30 crore in Q1 FY26 over Q1 FY25.
Berger Paints consolidated net profit declined 11% to Rs 314.63 crore in Q1 FY26, compared with Rs 353.56 crore in Q1 FY25. Net sales rose 3.6% YoY to Rs 3200.76 crore in Q1 FY26.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Hans India
10 minutes ago
- Hans India
Free power supply to handloom and power looms commences
Tirupati: The much-awaited free power supply to Handloom and Powerloom units commenced from Thursday coinciding with 11th National Handloom Day, benefitting thousands of weavers in Tirupati district. Accordingly, the Handloom units will get free power supply of 200 units monthly and Powerloom units will get up to 500 units. On the occasion a rally was taken out in Venkatagiri, which has pre-dominant weavers population town in the district and famous for Venkatagiri cotton sarees. Venkatagiri MLA Kurugondla Ramakrishna led the rally and district Collector Dr S Venkateswar also participated as a chief guest. Later, a meeting was held in Padmasali Bhavan in the town. Addressing the meeting, MLA K Ramakrishna said Chief Minister N Chandrababu Naidu and Education Minister Nara Lokesh are giving top priority in extending various government schemes to weavers to boost up the marketing, keeping in view the huge demand for Venkatagiri weavers' handloom products. People also on their part should extensively use handloom products to support the weavers and the government is also keen on extending minimum schemes for them, he added. Collector Dr S Venkateswar said more than 6,000 weavers families are depending on Handloom and Powerloom mostly in Venkatagiri, Srikalahasti, Guduru and Narayanavanam in the district. Venkatagiri silk, cotton, Jandari sarees have good demand in the country, while wedding sarees produced by the weavers of Narayanavanam and Dhotis and towels in Puttur are popular handloom products. The government, apart from extending NTR Bharosa pension scheme, also providing Rs 4,000 monthly benefitting 5,712 weavers in the district. It also introduced free power supply to support them. Loans including Rs 1.92 crore to Poleramma weavers cluster in Venkatagiri benefitting 182 weavers, Rs 90 lakh to Srikalahasteeswara small cluster and Rs 1 crore to Narayanavanam small cluster benefitting 171 weavers were sanctioned. The Collector stated that the Central government also recognised Venkatagiri weavers artistic skills by honouring a weaver, Lanka Srinivasulu with golden award under 'one district one product'. On the occasion, MLA Ramakrishna and Collector Venkateswar disbursed cheques to weavers, provided by various banks as loans to improve business. Handlooms AD Ramesh, LDM Ravi Kumar, Handloom Union leaders Gangadhar, Viswanath, Lakshmipathi, Satyanarayana, Rajeswar Rao were present.
Indian Express
10 minutes ago
- Indian Express
A downshift: Why India's EV push is leaving cars behind — and betting big on trucks
Over the past year, India's electric vehicle (EV) policy has undergone a quiet but significant pivot: electric cars are no longer centre-stage, while e-trucks have emerged as the new priority. The first major signal came in September 2024, when the PM E-DRIVE scheme was rolled out without any incentives for electric four-wheelers — unlike the preceding FAME subsidy. Earlier this week, the NITI Aayog reinforced this stance, arguing that measuring progress in e-mobility through cars is 'not… the right metric' for India. Instead, the government is now turning its attention to electrifying trucks, which make up just 3 per cent of India's vehicle fleet but contribute a third of all transport-related carbon emissions and over half of particulate pollution. A new Rs 500-crore subsidy aims to support 5,600 e-trucks on Indian roads. Electric cars simply aren't selling fast enough in India to move the needle — largely due to their relatively high cost and persistent range anxiety. India's progress in electrifying four-wheelers 'has been weak compared to the global scenario,' the NITI Aayog report said. In 2024, the share of electric cars in total four-wheeler sales — or EV penetration — remained low at just 2 per cent, according to New York-headquartered think tank Rhodium Group. In contrast, the EV penetration rate in the four-wheeler segment stood at 47 per cent in China, 23 per cent in Europe, 10 per cent in the US, and a striking 17 per cent in Vietnam — up from just 3 per cent in 2022. The sluggish pace in India comes despite several tailwinds — the FAME scheme subsidised at a cost of Rs 537 crore over 22,600 electric car purchases between 2019 and 2024, several states offered road tax and registration waivers, battery costs fell sharply, and a domestic EV supply chain took shape under the PLI scheme for auto components. There's another reason — 'While 75% of Indian vehicles are two-wheelers, only 13% of these vehicles are cars… Hence, measuring progress in the transition to electric mobility by only looking at cars, as done in developed countries, would not be the right metric in a country dominated by two-wheelers,' the NITI Aayog report said. In the two-wheeler segment, the EV penetration rate was 6 per cent in 2024-25, according to JMK Research. In addition to cars making up a smaller share of vehicles overall, large cars costing over Rs 10 lakh account for just 2 per cent of India's vehicle fleet. When identifying which segments most warrant policy interventions to boost supporting infrastructure, the report noted, 'Personal cars would come lower down in the priority primarily because they compose a relatively small share of the vehicle fleet in the country and daily usage is also relatively low.' That said, the government did launch the Scheme to Promote Manufacturing of Electric Passenger Cars in India in March 2024 — which many had seen as aimed at attracting Tesla — with guidelines released in June this year. The scheme allows global automakers to import EVs at lower customs duties — provided they invest at least Rs 4,150 crore to set up domestic manufacturing. However, Tesla is 'not interested in manufacturing in India,' Union Heavy Industries Minister H D Kumaraswamy had said in June. As far as reducing emissions, particulate pollution, and dependence on energy imports is concerned, electrification of trucks will go a long way. 'The longer haul trucks are an important component of the road transport system as they emit over 34% of the CO2 from the transport sector, despite constituting only 3% of the total vehicle fleet. A significant dent in the reduction of GHG from road transport will not be possible without transitioning long haul trucks to electric,' the NITI Aayog report said. Electric penetration in the truck segment remains negligible — just 0.7 per cent in 2024. Of the 8.34 lakh trucks sold that year, only 6,220 were electric, and just 280 had a capacity above 3.5 tonnes — the kind typically used for long hauls, according to the report. In July, the Ministry of Heavy Industries launched an incentive scheme for e-trucks under PM-DRIVE, aiming to support 5,600 vehicles with a capacity of over 3.5 tonnes. The maximum incentive is set at Rs 9.6 lakh per vehicle, which is key as e-trucks have very high capital costs. The scheme makes a special provision for 1,100 e-trucks registered in Delhi to address 'the capital's serious air quality challenges'. Earlier, in May, the Office of the Principal Scientific Adviser identified 10 routes to develop for zero-emission trucking (ZET) based on high traffic volume, active industrial growth, adequate ancillary services, and grid infrastructure. These include Chandigarh-Delhi-Jaipur, Dhanbad-Kolkata-Haldia, Bengaluru-Chennai-Villupuram, and Salem-Coimbatore-Kochi. China is already showing what electrification of trucking can do to oil consumption — with around 9 per cent of heavy-duty trucks now electric, it is displacing over 1 million barrels per day in implied oil demand, according to the Rhodium Group. Aggam Walia is a Correspondent at The Indian Express, reporting on power, renewables, and mining. His work unpacks intricate ties between corporations, government, and policy, often relying on documents sourced via the RTI Act. Off the beat, he enjoys running through Delhi's parks and forests, walking to places, and cooking pasta. ... Read More
Indian Express
10 minutes ago
- Indian Express
ChatGPT's Study Mode will not end private coaching. It will push tutors to be more creative
Each week, a new tech headline boldly proclaims that 'Y will kill X'. This dynamic duo of Y and X has seen countless iterations throughout history. From photography's supposed demise of painting to MOOCs' (massive open online course) alleged overthrow of universities, and even the literal 'video killed the radio star,' the narrative of technological disruption is a familiar tune. Now, the spotlight shines on ChatGPT's Study Mode, heralded as the impending executioner of India's private-tuition industry. That prediction is not entirely baseless. In cities such as Delhi, hiring a personal tutor typically can cost over Rs 1,000 per hour, with rates climbing for senior-secondary science and competitive-exam coaching. Households pay these fees because tutors offer three things: Individualised explanations, structured practice and instant doubt-clearing. OpenAI's newly released Study Mode positions itself as a free, always-available provider of exactly those services. OpenAI describes Study Mode as 'a learning experience that helps you work through problems step by step instead of just getting an answer.' The system begins with a short diagnostic exchange that gauges prior knowledge, then leads learners through Socratic prompts, targeted hints, and periodic knowledge checks. Explanations are delivered in sequential, bite-sized sections that highlight links between ideas — an approach the company says was shaped with teachers, scientists, and learning-science researchers to manage cognitive load and promote metacognition. Students can toggle the coach on or off at any time, retaining the option of a conventional Q-and-A when speed is essential. OpenAI says this is only a first step. Upcoming iterations will add clearer visualisations for dense or text-heavy concepts, goal-setting and progress-tracking tools that span multiple chats, and even deeper personalisation tuned to each learner's long-term objectives. These upgrades are expected to arrive over the next product cycles and will likely benefit from the higher reasoning capacity and multimodal output that industry observers anticipate in the newly launched GPT-5 model. In practice, these design choices prove effective. During trials with Grade 10 algebra problems and first-year university economics questions, Study Mode consistently withheld answers until a partial line of reasoning was offered, adjusted the depth of explanation after each learner's response, and revisited earlier misconceptions in later prompts. The immediate, structured feedback felt comparable to a diligent human tutor, especially when the model summarised progress at the end of a session and suggested next steps. Although occasional inaccuracies still surfaced, the overall experience was sufficiently clear and adaptive to leave a strong impression of genuine, learner-centred guidance. However, Study Mode's effectiveness varies, and it generally excels in STEM and English. While free access may be limited, a subscription typically offers seamless use. From a purely functional standpoint, Study Mode matches or exceeds what many tutors offer. It is online and available 24×7 and supports multiple languages. Its cost advantage is pronounced; even if a family opts for ChatGPT Plus to access the fastest model, the subscription is roughly $20 a month, far below a premium metro-city tuition cost. For learners who live in districts where qualified tutors are scarce or unaffordable, the prospect of an AI coach on a smartphone is undeniably attractive. Yet the promise of an on-demand AI tutor will matter only if learners can reach it. In many rural households, a single handset is shared among several family members, mobile data is rationed, and electricity is still unreliable. Under such conditions, a text-heavy AI tutor that assumes stable connectivity risks reinforcing the very disparities it is meant to reduce. Unless governments, telecom providers and ed-tech firms work together towards these gaps, the students who can already afford private tuition will also be the first to benefit from AI guidance, doubling their advantage rather than closing the gap. Pedagogically, human tutors also retain several advantages. They notice when a pupil's eyes glaze over, adjust pace on the fly and can provide the social accountability many adolescents need to keep learning. Large language models (LLMs) continue to produce occasional hallucinations; a vigilant tutor can catch a faulty hint delivered by the AI before it hardens into a misconception in the student's mind. Human tutors remain indispensable for providing social-emotional support, addressing special needs, and conducting real-time diagnostic questioning. What appears more likely than complete displacement is a clear realignment of responsibilities. Private tutors may spend less time working out every trigonometric identity in a notebook and more time acting as meta-coaches, guides who teach students how to frame effective questions for the AI, interpret the model's hints, and cross-check its explanations. In this new arrangement, a tutor's primary value lies in curating trustworthy resources, diagnosing subtle misconceptions that an algorithm might miss, and designing structured study plans that weave human interaction with AI-generated practice tasks. The human element of mentorship becomes even more critical in a tech-enabled environment. Many students need someone who notices when motivation dips, encourages reflection on learning strategies, and contextualises knowledge within future goals and career aspirations. A mentor can guide learners in developing habits such as setting objectives, monitoring progress, and adjusting approaches when difficulties arise. For first-generation learners who lack proximity to subject experts, this blended approach is particularly powerful: an AI tutor provides on-demand academic guidance, while a trusted adult or community volunteer nearby provides the encouragement, accountability and context that machines cannot. Far from rendering tutors obsolete, Study Mode raises the bar, asking them to become architects of learning environments where human insight and machine efficiency work in tandem. So will ChatGPT's Study Mode kill home tuitions? Probably not, at least, not in the melodramatic sense of sudden extinction. What it will do is raise expectations. Any tutor who merely recites answers from last year's guidebook will face tough competition from a free AI that never tires. Educators who reinvent themselves as mentors in critical thinking, metacognition and responsible AI use are likely to become more essential, not less. The classroom of the near future will rest on a tripod: An inquisitive student, a capable AI assistant and a perceptive human guide. Remove any leg, and the learning process wobbles. Study Mode may narrow educational inequities where connectivity exists, but it also challenges policymakers and technology companies to extend infrastructure and craft clear guidelines. The technology has set a higher bar; it is up to the educators to decide whether that bar becomes a stepping-stone or a stumbling block. The writer is an education consultant specialising in AI for educators, curriculum design, teacher training, ed-tech strategy, and innovative math-learning initiatives
