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Grocery spending fell 8% while rent rose 21%, showing a mixed picture for household budgets in 2026. GST 2.0 brought price relief, but families largely used the extra headroom for savings, better food, education, and health rather than splurging. View More
Lumino Industries secured Rs 206.99 crore from anchor investors before its upcoming initial public offering. The company plans to raise Rs 700 crore through this maiden share sale, with shares priced between Rs 78 and Rs 82. The public subscription period will commence on August 27, 2026, and conclude on August 31, 2026. View More
Integrated engineering, procurement and construction (EPC) player Lumino Industries has announced that it has garnered Rs 206.99 crore from anchor investors ahead of its initial public offering (IPO), which will open for public subscription on Thursday, August 27, 2026. Through its maiden share sale, the company seeks to raise Rs 700 crore from the markets. The company informed the bourses that it has allocated 25,243,901 equity shares at Rs 82 apiece to anchor investors. Some of the marquee institutions that participated in the anchor book include Citigroup Global Markets Mauritius Private Limited, SBI General Insurance Company Limited, Bajaj Life Insurance Limited, Silver Stride India Global Fund and 3PIM India Equity (IFSC) Fund, among others. Among equity-oriented schemes, the company has allocated shares to HDFC Large and Mid Cap Fund, Motilal Oswal Large Cap Fund and Kotak Mahindra Trustee Co Ltd A/C Kotak Manufacture In India Fund, among others. Of the total 25,243,901 equity shares allocated to anchor investors, 18,071,114 shares were allotted to seven domestic mutual funds through 22 schemes. Lumino Industries IPO details Lumino Industries IPO comprises a fresh issue of 6.10 crore shares aggregating to Rs 500 crore and an offer for sale of 2.44 crore shares aggregating to Rs 200 crore. The offer is being made through the book-building process, wherein not more than 50% of the net offer will be available for allocation to qualified institutional buyers (QIBs), not less than 15% to non-institutional bidders (NIIs), and not less than 35% to retail individual bidders (RIIs). Live Events The company has fixed the price band at Rs 78-82 per equity share, with a face value of Rs 5 each. The public issue will open on Thursday, August 27, 2026, for subscription and close on Monday, August 31, 2026. Investors can bid for a minimum of 182 equity shares and in multiples of 182 shares thereafter. Retail investors will need a minimum of Rs 14,924 to bid for one lot, or 182 shares, while Rs 1,94,012 is required to bid for a maximum of 13 lots, or 2,366 shares. The basis of allotment of Lumino Industries shares is likely to be finalised on Tuesday, September 1, 2026. Successful allottees can expect the company’s shares to be credited to their demat accounts by Wednesday, September 2, 2026. Lumino Industries shares are slated to make their debut on the bourses tentatively on Thursday, September 3, 2026. Motilal Oswal Investment Advisors, JM Financial and Monarch Networth Capital are the book-running lead managers to the issue, while Bigshare Services Private Limited is the registrar. The company said it will not receive any proceeds from the offer for sale, which will go to the selling promoters. Of the proceeds from the fresh issue, Rs 337 crore will be utilised for the prepayment or repayment, in full or in part, of certain outstanding borrowings availed by the company. Another Rs 15 crore will be used for capital expenditure towards the purchase of equipment and machinery, civil works and interior development of an existing manufacturing facility. The remaining proceeds will be used for general corporate purposes. About Lumino Industries Lumino Industries is an integrated engineering, procurement and construction (EPC) company in India, with a focus on manufacturing and supplying conductors, power cables, electrical wires and specialised products for the power transmission and distribution industry. The company also manufactures high-temperature low-sag (HTLS) conductors used in transmission and distribution lines. (Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of Economic Times) .Pbanner{display:flex;justify-content:space-between;align-items:center;background-color:#ec1c40;margin-top:20px;padding:5px 10px;border-radius:4px;color:#fff;line-height:10px;width: 100%;box-sizing: border-box} .Pbannertext{display:flex;align-items:center;font-size:16px;font-weight:600;font-family:'Montserrat';} .Pbannertext img{height:20px;margin:0 6px} .Pbannerbutton a{display:flex;align-items:center;background-color:#fff;color:#ec1c40;text-decoration:none;font-weight:600;padding:4px 8px;border-radius:6px;font-size:15px;font-family:'Montserrat';} .Pbannerbutton img{height:20px;margin-right:6px} .Pbannerbutton a:hover{background-color:#f7f7f7} Add as a Reliable and Trusted News Source Add Now! (You can now subscribe to our ETMarkets WhatsApp channel) (You can now subscribe to our ETMarkets WhatsApp channel)
US Treasury Secretary Scott Bessent announced new sanctions under Operation Economic Outcast targeting nearly 60 entities over Iran trade. View More
India’s IPO market has staged a strong comeback in July-August, with 18 of 22 listings delivering positive debut-day returns. Average listing gains stood at 25%, sharply above the 7% recorded in Q1FY27. Analysts expect momentum to continue, supported by strong investor sentiment, attractive valuations and major upcoming IPOs. View More
India's primary market has seen some strong market debuts recently, with the average listing-day gains for IPOs that opened since July standing at around 25%, after a muted primary market performance for more than a year. The strong gains recorded in this quarter so far were led by Behari Lal Engineering, whose shares ended 76% higher on listing day. It was followed by Indo MIM, which soared nearly 53% on debut day. Earlier this month, Shiprocket made a strong market debut, ending its first trading day around 48% higher. Overall, 18 out of 22 stocks whose IPOs opened between July and August delivered positive returns on listing day, implying around 82% success rate for their investors. The 25% average listing day gains marks a multifold increase from the average 7% listing day gains recorded for companies whose IPOs opened during the April-June quarter of the financial year 2027, and a sharp surge from the 2% listing day discount recorded on average by stocks whose IPOs opened in the January-March quarter of FY26. Live Events Q1 comparatively saw a lacklustre primary market performance, with listing day gains ranging from a negative 17% to a positive 29%. Advit Jewels and CMR Green Technologies recorded the sharpest gains among the pack, pushing the average listing day gains to 7.5%. Also read | Rs 21,000 crore IPO rush in August highest in one year. Will September break all records? What lies ahead? Successful listing of an IPO has various factors like better business model, future growth potential, return ratios and of course the valuations at which the IPOs are priced, said Narendra Solanki, Head of Fundamental Research on Investment Services at Anand Rathi Shares and Stock Brokers. The recent strong response in IPOs as well as decent listing day performance were driven by a mix of high potential growth prospects, sectoral tailwinds, niche products and decent valuations on the back of high revenue visibility, according to the analyst. Coming to the year ahead, Solanki thinks sentiments are much better now than what it was at the start of the year. With the much-awaited IPOs of NSE and Jio lined up, the analyst believes that the positive momentum in India’s primary market is likely to continue. Also read | Stock split alert! Last day to buy this recently-listed travel firm's shares after over 50% rally in 2 months (Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times) .Pbanner{display:flex;justify-content:space-between;align-items:center;background-color:#ec1c40;margin-top:20px;padding:5px 10px;border-radius:4px;color:#fff;line-height:10px;width: 100%;box-sizing: border-box} .Pbannertext{display:flex;align-items:center;font-size:16px;font-weight:600;font-family:'Montserrat';} .Pbannertext img{height:20px;margin:0 6px} .Pbannerbutton a{display:flex;align-items:center;background-color:#fff;color:#ec1c40;text-decoration:none;font-weight:600;padding:4px 8px;border-radius:6px;font-size:15px;font-family:'Montserrat';} .Pbannerbutton img{height:20px;margin-right:6px} .Pbannerbutton a:hover{background-color:#f7f7f7} Add as a Reliable and Trusted News Source Add Now! (You can now subscribe to our ETMarkets WhatsApp channel) (You can now subscribe to our ETMarkets WhatsApp channel)
Indiabulls share price witnessed strong volatility in intraday trade on Tuesday, 25 August, with the stock hitting its upper circuit and erasing all gains, after the company offered an update for its Gurugram project. View More
Cement firm NU Vista received a ?15.41 crore notice alleging input tax credit irregularities. The notice covers four fiscal years from 2020-21 to 2023-24. It proposes denying input tax credit for civil construction and canteen expenses. The company also faces proposed denial of output tax credit reduction from sales returns. NU Vista claims sufficient evidence and expects no major financial impact. View More
Cement giant NU Vista announced on Tuesday said it received a ₹15.41 crore Show Cause Notice (SCN) alleging irregularities in input tax credit and in reduction in output tax credit by the firm. The SCN was issued by the Joint Commissioner, CGST, Durgapur Audit Commissionerate , West Bengal . The notice’s allegations pertains to four years from FY 2020 - 21 to FY 2023 - 24. Read more: Dalmia Bharat sees new assets boosting volumes soon; Profit falls 50% According to the statement released by the company, the notice issued proposed denial of input tax credit in respect of different inputs, which are, civil construction, toll charges, canteen, etc. It also proposed denial of reduction in output tax liability arising from credit notes issued towards sales returns and post-sale discounts. Live Events The statement said the firm claims that it possesses sufficient documentary evidence in support of its position and remains confident of resolving the issue with supporting records and submissions. It also said the company would suffer no major financial impact . .Pbanner{display:flex;justify-content:space-between;align-items:center;background-color:#ec1c40;margin-top:20px;padding:5px 10px;border-radius:4px;color:#fff;line-height:10px;width: 100%;box-sizing: border-box} .Pbannertext{display:flex;align-items:center;font-size:16px;font-weight:600;font-family:'Montserrat';} .Pbannertext img{height:20px;margin:0 6px} .Pbannerbutton a{display:flex;align-items:center;background-color:#fff;color:#ec1c40;text-decoration:none;font-weight:600;padding:4px 8px;border-radius:6px;font-size:15px;font-family:'Montserrat';} .Pbannerbutton img{height:20px;margin-right:6px} .Pbannerbutton a:hover{background-color:#f7f7f7} Add as a Reliable and Trusted News Source Add Now! (You can now subscribe to our Economic Times WhatsApp channel) (You can now subscribe to our Economic Times WhatsApp channel)
The Augmont Enterprises IPO was 14.46 times subscribed by the second day, reflecting strong investor interest. It is set at ?750-788 per share, closing on August 25, with a projected market cap of ?7,200 crore and estimated listing price of ?1,113 per share. View More
Dview founder and CEO Kauts Shukla says the next wave of enterprise AI will move beyond chatbots and dashboards to systems that can reason across fragmented enterprise data. View More
Dview positions itself as a data and AI-first enterprise intelligence platform, focused on bringing data, knowledge, computation, and AI reasoning together. The company has grown roughly 4x over the last three quarters, while its technology has evolved from conversational analytics towards unified enterprise knowledge and Agentic AI. In this conversation with ET Digital, Kauts Shukla, Founder & CEO of Dview, explains why he believes intelligence is becoming a foundational layer of the enterprise stack, why enterprises can embrace this shift without rebuilding their existing infrastructure, and why the next generation of AI will be defined not by how much data organisations can process, but by how intelligently they can reason over it and turn that intelligence into action. Edited excerpts. The Economic Times (ET): What was the problem or gap in the market that led you and Supratik Shankar to start Dview? What did you see in the way businesses were managing and using data that convinced you there was a need for a new kind of data platform? Kauts Shukla (KS): Dview started with a fairly simple observation: enterprises had become exceptionally good at generating and storing data, but remarkably poor at turning that data into intelligence at the speed the business needed. I had spent years working inside data-intensive businesses and kept seeing the same pattern. A leadership team could have petabytes of data, sophisticated warehouses, multiple analytics tools, and large data teams, and yet a seemingly simple business question could still take days to answer. The problem wasn't a lack of data or even a lack of computing power. The missing layer was intelligence - a system that could understand what the business was asking, identify the relevant data, reason across it and determine what actually needed to be computed. That became the foundation for Dview. We started with the belief that the next generation of enterprise data infrastructure could not simply be about moving, storing, or visualising data. It had to understand the meaning behind the data and make that knowledge usable by both humans and AI systems. Live Events ET: Dview describes itself as a Data-as-a-Service platform. What exactly does that mean for a business, and how does it simplify the journey from raw data to actionable insights? KS: Data-as-a-Service, at least the way we mean it, is not another API sitting in front of a database. It's an attempt to change the relationship between a business and its own data. Think about what a typical enterprise actually looks like. Transactional systems, a dozen SaaS applications, a few databases, a warehouse, a lake, and a set of flat files everyone has quietly agreed to ignore. Then a second layer for transformation, a third for analytics, and now a fourth for AI. Every one of those layers is defensible on its own. Put together, they create an enormous amount of infrastructure between a business question and a business answer. Dview is trying to collapse that distance. We are building an intelligent data layer that ties together three things which have historically lived apart. The data, the computation, and the business knowledge. Someone should be able to ask what's happening in the business, why it's happening, and what they should look at next, without having to know how the plumbing works. I want to be careful about one thing, though, because it's where a lot of the market is currently confused. Natural language is only the interface. It's the least interesting part of the system. The hard part is everything behind it. Understanding the intent, understanding the shape and semantics of the underlying data, working out what needs to be computed, executing that efficiently, and then returning something a CFO would be willing to put in a board pack. ET: There are several companies offering data management, analytics and AI solutions. How is Dview different from the competition? What is your core technological or business advantage that would make a customer choose Dview over an established player? KS: The distinction starts with where you believe intelligence belongs. A lot of enterprise AI today is still being built as an application layer sitting on top of an existing data architecture. Our thesis is different: intelligence needs to become part of the data infrastructure itself. Dview is designed around the convergence of data, knowledge, computation, and AI reasoning. Instead of asking an AI system to simply retrieve information from an existing stack, we are building an architecture where it can understand enterprise semantics, reason across disparate sources, determine the most efficient way to compute an answer, and eventually orchestrate actions. That matters because enterprise AI is not fundamentally a chatbot problem. It is a context, reasoning and trust problem. An AI model may know a great deal about the world, but it doesn't automatically know what "active customer" means inside a particular bank, how that organisation defines profitability, which data it is permitted to access, or which business rules should govern a decision. That enterprise context is where we see a major opportunity. The next generation of AI systems will not simply retrieve enterprise knowledge. They will reason over it. That requires a unified knowledge architecture underneath the models, not another interface sitting above fragmented systems. This is also why our work has increasingly moved towards Agentic AI systems that can investigate a question across multiple sources, reason through the evidence, generate insights and eventually take governed action. The ambition is to make enterprise intelligence a core infrastructure capability rather than another application layered on top of the stack. That thesis has also received strong external validation. Dview was selected as part of Google for Startups Accelerator: AI First, Class of 2025, one of 20 startups selected for the programme. We were subsequently selected for the Velocity – Kotak BizLabs Incubation Program at NSRCEL, IIM Bangalore, and more recently entered into a strategic investment and technology partnership with Grand View Research focused on combining unified knowledge architecture, Agentic AI and enterprise intelligence. ET: Dview’s platform can centralise data from more than 100 sources and allows users to interact with data through natural-language queries. How does this work in practice, and what kind of business decisions can customers make faster because of this capability? KS: We do connect to more than 100 sources, and I would say that part is table stakes. Every serious platform gets there, eventually. Typing a question in plain English is also easy to demo. I could build that in a weekend. The hard problem is making the answer correct, contextual, governed, and cheap to produce. All four, every time. Take any large business. Customer records in one system, transactions in another, finance in a third, operational data spread across several more, and a warehouse that holds some but not all of it. A business head shouldn't need a mental map of that landscape. They should be able to ask why revenue fell in a particular region, which customer segment is quietly becoming unprofitable, what changed in unit economics last quarter, or which SKUs are dragging the margin down, and get an answer they can act on. For the system to do that, it has to work out the intent, find the relevant data, understand how those tables relate, apply the company's own definitions rather than generic ones, generate the right computation and then check its own work. That final validation step matters more than people expect. An analytics system that is confidently wrong is worse than no system at all. Which is why I resist the Text-to-SQL label. Text-to-SQL is a feature. Data reasoning is the opportunity. What we are working towards is a system that understands an enterprise's data environment roughly the way a very experienced data scientist who has been in the company for four years understands it. The practical effect is on the economics of decision-making. Questions that used to need an analyst, a data engineer, and three rounds of back-and-forth become interactive. And here is the part I find most interesting. When the cost of asking a question falls close to zero, people stop rationing their curiosity. They start asking better questions. In my experience, that's where the real change in a company happens. Not in the tool, but in the surrounding behaviour. ET: Who are your customers today? Which industries and types of businesses are adopting Dview, how many clients do you currently serve, and can you share a few examples of the kinds of data challenges you are solving for them? KS: We work with enterprises, meaning organisations where data is already central to how the business runs, but is scattered across a complicated technology landscape that has usually been accumulated over a decade rather than designed. The pattern we look for is specific. A lot of data, many systems, and a real distance between the people who own the data and the people who need answers from it. The industry varies more than the problem does. A financial services firm may be trying to stitch together customer, transaction and risk information that has never sat in one place. A consumer or commerce business wants to see customer behaviour, revenue and operational performance in the same frame instead of three separate reports that disagree with each other. A large enterprise may have years of data across several warehouses, databases and applications and no unified intelligence layer over any of it. And then there's a category I find particularly interesting. Companies with a very modern stack who are simply spending far too much on compute, because the system is grinding through vastly more data than the question required. None of these are BI problems in the old sense. They're enterprise intelligence problems. ET: What has the business achieved in terms of revenue and growth? Can you share your current annual revenue/ARR, revenue growth over the last two or three years, and what your revenue target is for the next 12 to 24 months? KS: The number I am happy to share, and the one I think actually says something, is that we have grown roughly 4x in the last three quarters. Not over a comfortable multi-year run, but in three quarters. That is the figure I would point anyone to, because it tells you the demand is present tense rather than historical. Given that we only started operating commercially in December 2021, and that I was on my own for the first stretch of it, I am reasonably satisfied with where that puts us. ET: You claim that Dview’s architecture can improve computing efficiency by 60% while offering 99.9% uptime and complete data control. What enables these efficiencies, and how do you ensure that the platform remains secure and reliable as customers scale their data operations? KS: There's a reflex in this industry that says if it's slow, throw more compute at it. I think the opposite is becoming true. The smartest compute is the one you never have to run at all. Most of our engineering effort goes into query intelligence, which means working out which data is relevant to a question at all, how it should be accessed, what can be pruned before we touch it, what actually needs to be calculated, and where that calculation should happen. None of this is glamorous work. It doesn't demo well. But at scale it's where the money is. And that is not a small effect. A modest reduction in how much unnecessary data you scan compounds into a very large difference in the infrastructure bill once you're operating at enterprise volumes. That's why we spent our early years on the data and query architecture rather than rushing to ship a chat window on top of a warehouse. In real customer workloads we've seen this translate into up to 60% improvement in computing efficiency, while holding the existing SLAs. And those gains come from doing less, not from renting more. ET: Both founders bring significant experience in building data and technology platforms, including work at OLA, OLA Electric, Vedantu, Moody Analytics and OakNorth. How has that experience shaped Dview, and where do you see the company in the next three to five years? KS: The experience we brought into Dview gave us something particularly valuable: a view of enterprise technology from the inside including where conventional architectures begin to break down as data, complexity and scale increase. Across mobility, financial services, edtech and other data-intensive environments, one pattern becomes very clear: the technology stack can become extremely sophisticated while the distance between data and decision-making continues to grow. That experience shaped our fundamental question. What should enterprise infrastructure look like if AI is no longer just an application sitting on top of data, but an intelligence layer capable of reasoning across the enterprise? That is the direction we've been building towards. .Pbanner{display:flex;justify-content:space-between;align-items:center;background-color:#ec1c40;margin-top:20px;padding:5px 10px;border-radius:4px;color:#fff;line-height:10px;width: 100%;box-sizing: border-box} .Pbannertext{display:flex;align-items:center;font-size:16px;font-weight:600;font-family:'Montserrat';} .Pbannertext img{height:20px;margin:0 6px} .Pbannerbutton a{display:flex;align-items:center;background-color:#fff;color:#ec1c40;text-decoration:none;font-weight:600;padding:4px 8px;border-radius:6px;font-size:15px;font-family:'Montserrat';} .Pbannerbutton img{height:20px;margin-right:6px} .Pbannerbutton a:hover{background-color:#f7f7f7} Add as a Reliable and Trusted News Source Add Now!
ESDS Software Solution Ltd has set the price range for its initial public offering, valued at Rs 720 crore. The IPO is set to open for public subscriptions starting August 28, while anchor investors get a chance to bid on August 27. Subscriptions will conclude on September 1, and the funds raised will be allocated for data center equipment and other corporate needs. View More
ESDS Software Solution has set the IPO price band at Rs 408-429 per share for its Rs 720-crore initial public offering . The issue will open for subscription on August 28, 2026, and close on September 1. The IPO comprises an entirely fresh issue of 1.68 crore shares. Investors can bid for a minimum of 34 equity shares, and in multiples of 34 shares thereafter. At the upper end of the price band, retail investors will need to invest Rs 14,586 for one lot of 34 shares. The allotment is expected to be finalised on September 2, while the shares are likely to list on the NSE and BSE on September 4, subject to the IPO schedule remaining unchanged. At the upper end of the price band, ESDS Software Solution's FY2026 price-to-earnings (P/E) ratio stands at 36.33 times, while at the lower end it is 34.55 times. This compares with an average industry peer-group P/E ratio of 819.78 times and a Nifty 50 P/E ratio of 20.48 times as of August 20, 2026. On the EV/EBITDA valuation metric, the company's multiple stands at 16.30 times at the upper price band and 15.40 times at the lower price band for FY2026. This compares with an average industry peer-group EV/EBITDA ratio of 99.49 times. Meanwhile, ESDS Software Solution reported a weighted average return on net worth of 17.09% over the last three fiscal years. Live Events DAM Capital Advisors Ltd. is the book-running lead manager, while MUFG Intime India Pvt. Ltd. is the registrar to the issue. ESDS Software Solution IPO Proceeds The proceeds from the ESDS Software Solution IPO will primarily be utilised to expand and strengthen the company’s data centre infrastructure. Approximately Rs 576 crore is proposed to be allocated towards the purchase and installation of cloud computing equipment and other data centre infrastructure. The balance of the IPO proceeds will be used for general corporate purposes, providing the company with flexibility to meet its broader business and operational requirements. Financial Performance ESDS Software Solution Ltd. reported a significant improvement in its financial performance in FY26. Total income increased 28% year-on-year to Rs 480.65 crore, compared with Rs 376.64 crore in FY25. Profitability improved even more sharply, with profit after tax (PAT) more than doubling to Rs 120.82 crore, up 117% from Rs 55.61 crore in the previous year. The strong growth in both revenue and profitability reflects a notable improvement in the company’s financial performance during FY26. About ESDS Software Solution Incorporated in August 2005, ESDS Software Solution Limited is an AI-enabled provider of cloud, managed services, data centre infrastructure and software solutions in India. The company offers an end-to-end portfolio spanning Infrastructure-as-a-Service (IaaS), managed services and Software-as-a-Service (SaaS), catering to customers across the BFSI, government and enterprise segments. In FY26, the company served 2,501 customers and recorded revenue from operations of Rs 4,722.10 million. Its IaaS portfolio covers colocation and data centre services, as well as public, private, virtual private, hybrid and community cloud solutions and GPU-as-a-Service (GPUaaS). ESDS operates five Tier 3 data centres across India, spanning more than 75,266 sq. ft. These facilities are supported by redundant power systems, disaster recovery infrastructure and round-the-clock services. The company’s managed services portfolio includes cloud and data centre management, cybersecurity, IT infrastructure and network management, backup and disaster recovery, database management and DevOps services. ESDS also develops proprietary technology solutions, including SWARAJ Cloud, its patented cloud autoscaling technology. The platform has evolved into an AI-enabled cloud solution focused on data sovereignty, scalability, security, compliance and AI capabilities. Its SaaS offerings include data centre management tools, vulnerability scanners, web access firewalls, VPN solutions and AI-powered GPU monitoring solutions. As of June 30, 2026, the company had 993 employees supporting its data centre operations, cloud infrastructure, security management, research and development, sales, service delivery and other functions. Shareholding Structure Following the IPO, ESDS’s shareholding is divided between the promoter group, which holds approximately 46.06%, and public shareholders, who hold the remaining 53.94%. The promoter group—comprising Piyush Prakashchandra Somani, P.O. Somani Family Trust, and Komal Piyush Somani—collectively owns a 46.06% stake in ESDS. Among the public shareholders, notable investors include Mukul Mahavir Agrawal, with a 7.00% stake, and Ashish Kacholia, who holds 2.45%. (Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of Economic Times) .Pbanner{display:flex;justify-content:space-between;align-items:center;background-color:#ec1c40;margin-top:20px;padding:5px 10px;border-radius:4px;color:#fff;line-height:10px;width: 100%;box-sizing: border-box} .Pbannertext{display:flex;align-items:center;font-size:16px;font-weight:600;font-family:'Montserrat';} .Pbannertext img{height:20px;margin:0 6px} .Pbannerbutton a{display:flex;align-items:center;background-color:#fff;color:#ec1c40;text-decoration:none;font-weight:600;padding:4px 8px;border-radius:6px;font-size:15px;font-family:'Montserrat';} .Pbannerbutton img{height:20px;margin-right:6px} .Pbannerbutton a:hover{background-color:#f7f7f7} Add as a Reliable and Trusted News Source Add Now! 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