
Mahanagar Gas, Gujarat Gas poised for gains as CNG adoption surges; Siddhartha Khemka sees 10-20% upside
India's City Gas Distribution (CGD) sector has emerged as a resilient and strategically vital component of the energy landscape, supported by rising CNG adoption, expanding infrastructure, and favorable cost economics.
While electric vehicles (EVs) continue to capture headlines, their penetration—particularly in the mass segment—is facing headwinds globally, inadvertently strengthening the outlook for CNG adoption and, by extension, the CGD ecosystem.
by Taboola
by Taboola
Sponsored Links
Sponsored Links
Promoted Links
Promoted Links
You May Like
23.7% Returns in last 5 years with Shriram Life's ULIP
Shriram Life Insurance
Undo
Structurally, the CGD sector is witnessing renewed investor interest due to consistent volume growth, margin expansion potential, and supportive regulatory frameworks. In FY25, the CNG powertrain grew by ~35% YoY, establishing itself as one of the fastest-growing fuel categories in India's passenger vehicle market.
Moreover, CNG vehicle penetration across leading OEMs has expanded significantly, with models now forming up to 25% of certain manufacturers' portfolio, compared to low double-digits just a year ago.
This trend is further reinforced by the launch of affordable CNG models in the sub-INR1 million category—a segment where EV penetration remains limited.
Live Events
Globally, slowing EV momentum is playing to the CGD sector's advantage. Policy tapering in the US and Europe has dampened EV sales growth, with revised projections cutting the expected oil displacement by EVs to just 5mb/d by 2030, half of which is dependent on China alone.
Concurrently, increased import tariffs in key markets against Chinese EVs are creating bottlenecks in global EV supply chains, delaying broader adoption.
In contrast, CNG is gaining share steadily, driven by better unit economics, infrastructure rollout, and OEM alignment with mass-market demand.
Government support continues to be a key enabler for CGD. Expansion of the CGD network across new geographies and industrial zones—especially in tier-2/3 cities—is catalyzing gas consumption.
Policy continuity around cleaner mobility alternatives and price-linked incentives further de-risk the segment's medium-term prospects.
In summary, while EV adoption remains aspirational, the CGD sector is anchored in affordability, scalability, and infrastructure readiness.
With limited competitive disruption, robust policy backing, and rising penetration in key auto segments, the CGD sector is structurally well-positioned for sustained growth over the next 3–5 years.
Mahanagar Gas: Buy| Target Rs 1760| LTP Rs 1370| Upside 28%
Mahanagar Gas remains a BUY, underpinned by robust fundamentals and strong growth visibility. Despite FY25 EBITDA/PAT declines, management guides for 10% volume CAGR over FY25-27, led by CNG demand, collaborations with OEMs, and guaranteed price discounts for new PNG customers.
The company targets significant expansion—adding 250 CNG stations and upgrading existing ones by FY30, with depot access for commercial vehicles and strong uptake in the Mahotsav 2.0 scheme.
UEPL volumes are guided to grow 40% YoY in FY26, while forays into battery manufacturing, LNG, and CBG offer long-term earnings upside. We expect a 10% CAGR in volume over FY25-27.
Gujarat Gas: Buy| Target Rs 535| LTP Rs 476| Upside 12%
Gujarat Gas is well-positioned for growth with an expected EBITDA margin of INR 5.6–5.8/scm for FY26/27, supported by lower gas costs from falling LNG and crude prices and rupee appreciation.
The company targets 12% YoY CNG volume growth and is expanding aggressively in Thane rural, Ahmedabad rural, and Rajasthan to capture industrial demand. Strategic infrastructure investments and efforts to boost industrial gas adoption support robust volume growth.
These factors underpin a positive margin and volume outlook, reinforcing Gujarat Gas's strong position in the growing gas distribution market.
(The author is Head – Research, Wealth Management,
Motilal Oswal Financial Services Ltd
.)

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Indian Express
33 minutes ago
- Indian Express
Meta poaches 28-year-old Scale AI CEO after taking multibillion dollar stake in startup
Facebook-owner Meta has invested in Scale AI in a deal that values the data-labeling startup at $29 billion and brings in its 28-year-old CEO, Alexandr Wang, to play a prominent role in the tech giant's artificial intelligence strategy. Meta will take a 49% stake for $14.3 billion, according to two sources familiar with the matter. 'We will deepen the work we do together producing data for AI models and Alexandr Wang will join Meta to work on our superintelligence efforts,' Meta said in a statement that did not disclose financial terms. The main driver for Meta's substantial investment in Scale was to secure Wang to lead its new superintelligence unit, according to a separate source briefed on the discussions. The sources were not authorised to speak to media and declined to be identified. Meta didn't immediately respond to a request for comment. Wang, who was born in Los Alamos, New Mexico, to Chinese immigrant physicists, dropped out of MIT to co-found Scale. He was quickly lauded as one of Silicon Valley's most promising entrepreneurs, raising funding from blue-chip venture capital firms and achieving billionaire status in his 20s. He has also cultivated relationships with top tech executives such as OpenAI CEO Sam Altman and has since leveraged his influence to build connections in Washington D.C., testifying in front of Congress and securing the federal government as a big client. Meta, once recognized as a leader in open-source AI models, has suffered from staff departures and has postponed the launches of new open-source AI models that could rival competitors like Google, OpenAI, and China's DeepSeek. By poaching Wang, who does not come from a research background but has built a major AI business, Meta CEO Mark Zuckerberg is betting that Meta's AI efforts can be turned around by an adept business leader more in the mold of Altman than the research scientists at the helm of most competing labs. Scale said the deal values it at $29 billion and that its chief strategy officer, Jason Droege, will serve as its interim CEO. The social media giant doesn't plan to take a board seat in Scale, one of the sources added. A few employees from Scale, a company with 1,500 people, will join Wang in moving to Meta, Wang said in a note to employees on Thursday. Wang will remain on Scale's board. The cash investment would rank as Meta's second-largest ever after its $19 billion buyout of WhatsApp. It's unclear if this deal will come under any regulatory scrutiny. Meta has been sued by the U.S. Federal Trade Commission, which alleges it illegally acquired Instagram and WhatsApp to stifle competition. Founded in 2016, Scale provides vast amounts of accurately labeled data, which is pivotal for training sophisticated tools like OpenAI's ChatGPT. To do so, Scale set up subsidiary platforms such as Remotasks and Outlier to recruit and manage gig workers who manually label the data. It was valued at nearly $14 billion in a May 2024 funding round that included Nvidia, Amazon and Meta among its backers. Despite the large investment sum, the deal might not be all good for Scale. Many AI labs that are clients of Scale could decide to discontinue using its services if they were to worry, that since Wang still sits on Scale's board, Meta might obtain an inside track into rivals' priorities around data. Still, the deal is a win for early venture capital investors in Scale, such as Accel and Index Ventures, who can cash out half of their stake in the startup.


Time of India
36 minutes ago
- Time of India
Explained: What is the superintelligence lab Meta is building?
On Thursday, Meta unveiled a $14.3 billion investment and partnership that will be the core of a new artificial intelligence research lab dedicated to the pursuit of "superintelligence," a swing-for-the-fences effort in the global technology race. The new lab will be led by Alexandr Wang, a co-founder and the CEO of Scale AI. Meta invested in his startup as part of an agreement to bring Wang to the company. Meta, which owns Facebook, Instagram and WhatsApp, has been offering compensation packages as high as $100 million to leading researchers across the field in an effort to staff the new lab, according to four people familiar with the effort. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like She Was Everyone's Dream Girl In 90's, This Is Her Recently. I Am Famous Undo News of the lab has left many people asking what exactly a superintelligence lab is meant to do. Here is a guide. Live Events What is superintelligence? Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories Companies like OpenAI and Google want to build "artificial general intelligence," or AGI, which is a way to describe a machine that can do anything the human brain can do. It is an ambitious goal with no clear path to success. Many tech leaders say a breakthrough is not far away, but it's hard to know what that means because AGI is so loosely defined. As a result, Silicon Valley leaders are now talking about building superintelligence, which would be even more powerful than AGI. It, too, is a loosely defined term, but generally refers to a machine that is more powerful than the human brain. Has anyone else built a superintelligence lab? Ilya Sutskever, the former chief scientist at OpenAI, has co-founded a company called Safe Superintelligence . It has no plans to release products. Its stated mission is to privately build superintelligence and release the technology when it has been proved to be completely safe. Sutskever is among those who believe that powerful AI could harm humanity. Are we on the verge of AGI? No one really knows when or even if AGI will happen, but many are saying they are getting close to it. OpenAI's CEO, Sam Altman, told President Donald Trump that it would happen before the end of his term. Dario Amodei, the chief executive of Anthropic, an OpenAI rival, said it would happen within one to two years. But there is no hard evidence. Measuring intelligence is also notoriously difficult. We can't even agree on how to measure the intelligence of humans -- much less compare humans and machines. Then why do people say AGI is close? As companies like OpenAI fed more and more data into their systems, they improved at a steady rate. Some technologists believe the progress will continue at much the same rate -- to AGI and beyond. But is that true? Maybe. In recent months, companies used up just about all the English language text on the internet as they improved these systems. So they turned to a new method where their systems learn by trial and error -- a process called reinforcement learning. Technologists are divided on whether this technique will lead to AGI. A recent paper from Apple -- which followed a similar paper from researchers at Arizona State University -- shows that the latest AI systems could become less accurate as they work through the multiple steps of problem solving. It was an indication that the metronomic improvement that the tech industry has grown accustomed to may be slowing. "These are great tools," said Subbarao Kambhampati , a professor and AI researcher at Arizona State University, who was an author of the report. "But I don't believe we are anywhere near AGI or superintelligence. With these tools, you always need a human in the loop." Didn't Meta already have an AI lab? Yes. Meta built its first artificial intelligence in 2013, when the AI race was in its infancy. That fall, both Google and Meta (then called Facebook) were fighting to acquire an important AI startup, DeepMind. Google prevailed, and DeepMind now forms the core of Google's AI efforts. So Meta's CEO, Mark Zuckerberg, decided to build his own lab. To run the lab, he tapped Yann LeCun, a pioneer in neural networks who was a professor at New York University . What is a neural network? A neural network, the fundamental building block of technology such as OpenAI's ChatGPT, is a mathematical system that can learn skills by analyzing enormous amounts of digital data. By identifying patterns in thousands of cat photos, for instance, it can learn to identify a cat. In 2013, neural networks were getting very good at recognizing both sounds and images, allowing a digital assistant like Siri to recognize words and driverless cars to recognize pedestrians and street signs. That technology eventually led to today's chatbots. Does Meta have its own chatbot? Yes. It's called Meta AI. Because of its long history in AI, the company responded quickly to the arrival of ChatGPT. It created a new generative AI that pushed similar technologies across many of its online services. Meta accelerated the development of AI across the industry by open sourcing its key technologies, meaning it freely shared the underlying computer code with outside software developers and businesses. Though this is a common practice in the tech industry, many of the leading AI companies were reluctant to open source their most powerful technologies. Meta was not. So why is Meta building a new AI lab? The company's latest technology, Llama 4, did not live up to expectations. It was not as powerful as rival systems from the likes of OpenAI and Google. Meta has also been grappling with employee churn and management issues related to the technology, according to two of people familiar with the company's struggles. Does that really warrant a new lab? Zuckerberg is an ambitious person. And he is worried about falling behind the other industry giants. The new lab is an effort to attract a stable of talented researchers. Meta has been making stunning offers to researchers, in some cases promising compensation packages as high as $100 million. But Meta may need more than just money to woo top talent. The leading researchers already make millions of dollars a year and want to work on the most ambitious projects. That is why Meta is using the superintelligence label. "Where these terminologies come from is anyone's guess," Kambhampati said. "These terms have become a commercial thing, a branding thing, an advertising thing, rather than a technical thing."


Time of India
37 minutes ago
- Time of India
Oil prices on the boil after Israel's strike on Iran's nuclear facility. What's next?
Live Events (You can now subscribe to our (You can now subscribe to our ETMarkets WhatsApp channel The global crude oil market in mid-2025 is navigating a complex landscape shaped by shifting supply-demand fundamentals, geopolitical tensions, and macroeconomic 12 June 2025, Israel launched a series of coordinated airstrikes targeting Iran's nuclear facilities, marking a dramatic escalation in Middle East tensions. The strikes triggered immediate global market reactions, with Brent crude oil prices surging over 7%, reaching their highest levels since geopolitical shock reverberated through energy markets, as investors feared potential disruptions in oil supply from the Persian Gulf—a region responsible for nearly one-third of global oil production. Iran, which contributes around 3% of global oil output, could retaliate by targeting shipping routes like the Strait of Hormuz, through which about 20% of the world's seaborne crude oil prices were under pressure since the start of the year. The decline was attributed to a combination of factors like increased supplies from OPEC and Non-OPEC countries, rising US inventories, geopolitical tensions, and macroeconomic headwinds like weak manufacturing data from major global oil supply remains relatively stable but nuanced. OPEC+ continues to enforce production cuts to support prices, although some members, including Russia, have increased exports, adding to global supply. Non-OPEC producers, particularly the United States, have also ramped up output, contributing to a well-supplied the demand side, growth has been tepid. As the global energy landscape continues to evolve, the crude oil demand forecasts for China and the United States—the world's two largest consumers—offer critical insights into market U.S. economy is showing signs of cooling, with recent PMI data indicating a slowdown in manufacturing activity. Economic uncertainties, coupled with tariff pressures and lower oil prices, have dampened consumption. Additionally, the U.S. shale industry faces challenges such as rising breakeven costs and resource depletion in prime drilling its ongoing economic transformation, China is expected to see a modest increase in crude oil demand, projected at around 2% year-on-year. While Chinese equities have rallied and oil stockpiles surged by 8% earlier this month, weak industrial output and lacklustre PMI readings suggest that demand growth remains U.S. Energy Information Administration (EIA) has revised its global oil demand forecast downward by 0.5 million barrels per day (b/d) for 2025, citing weaker-than-expected economic activity and the impact of new trade tariffs. The agency forecast an even lower average price for 2026, reflecting expectations of continued supply growth and modest agencies and market analysts echo this cautious outlook. While seasonal factors such as summer travel and increased cooling demand in the Northern Hemisphere may offer short-term support, the broader trend points to subdued price tensions in the Middle East, and the Russia-Ukraine war have added a risk premium but have not yet significantly disrupted supply. However, if the ongoing Israel-Iran tensions are prolonged and Iran attempts to block key maritime routes, it could trigger major rallies in conclusion, while the crude oil market is not facing an immediate crisis, it is operating under a cloud of uncertainty. The interplay of cautious demand, ample supply, and geopolitical risks suggests that prices will remain volatile but largely capped for the remainder of 2025.(The author is Head of Commodities, Geojit Investments Ltd)