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AI Agent Adoption In BFSI Will Transform This IT Services Leader

Published
02 Mar 26
Views
7
02 Mar
₹2,276.25
AnalystHighTarget's Fair Value
₹3,521.00
35.4% undervalued intrinsic discount
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1Y
-14.6%
7D
-1.8%

Author's Valuation

₹3.52k35.4% undervalued intrinsic discount

AnalystHighTarget Fair Value

Catalysts

About Mphasis

Mphasis is an IT services company focused on application development, modernization, cloud and AI led transformation for global enterprises, with a strong presence in BFSI and insurance.

What are the underlying business or industry changes driving this perspective?

  • Rapid enterprise adoption of AI agents and platform led solutions, with 69% of the current deal pipeline linked to AI and AI led wins already contributing to more than half of company revenue, points to a structural shift in how clients spend on technology, which can feed into higher long term revenue and improved earnings quality.
  • The NeoIP platform and its suite of offerings such as NeoZeta, NeoSaBa, NeoRaina, NeoCrux and AIOp are being used across the full IT value chain from modernize to run, which can increase deal sizes, improve wallet share in existing accounts and support both revenue growth and EBIT margin resilience.
  • Clients are using NeoIP to rework large scale modernization programs and IT operations with a start anywhere, converge in one fabric model, which can shorten project timelines, expand total contract value and improve net margins as more work moves to higher value, automation rich constructs.
  • The strong build out in BFSI and insurance, which together account for 66% of revenue, combined with AI led modernization demand in these data heavy, regulation driven sectors, provides Mphasis with a long demand runway that can support sustained revenue growth and operating profit expansion.
  • Client concentration metrics are trending positively, with additions across the US$20m to US$100m buckets and double digit growth in the top 10 and next 20 accounts, which indicates that AI and modernization deals are scaling across the portfolio and can translate into steadier revenue growth and better earnings visibility.
BSE:526299 Earnings & Revenue Growth as at Mar 2026
BSE:526299 Earnings & Revenue Growth as at Mar 2026

Assumptions

This narrative explores a more optimistic perspective on Mphasis compared to the consensus, based on a Fair Value that aligns with the bullish cohort of analysts. How have these above catalysts been quantified?

  • The bullish analysts are assuming Mphasis's revenue will grow by 14.2% annually over the next 3 years.
  • The bullish analysts assume that profit margins will increase from 11.7% today to 12.8% in 3 years time.
  • The bullish analysts expect earnings to reach ₹29.2 billion (and earnings per share of ₹152.89) by about March 2029, up from ₹18.0 billion today. However, there is some disagreement amongst the analysts with the more bearish ones expecting earnings as low as ₹25.2 billion.
  • In order for the above numbers to justify the price target of the more bullish analyst cohort, the company would need to trade at a PE ratio of 35.8x on those 2029 earnings, up from 23.9x today. This future PE is greater than the current PE for the IN IT industry at 21.1x.
  • The bullish analysts expect the number of shares outstanding to grow by 0.25% per year for the next 3 years.
  • To value all of this in today's terms, we will use a discount rate of 15.67%, as per the Simply Wall St company report.
BSE:526299 Future EPS Growth as at Mar 2026
BSE:526299 Future EPS Growth as at Mar 2026

Risks

What could happen that would invalidate this narrative?

  • The shift from traditional people based IT services to AI agent based delivery could compress pricing for classic managed services faster than Mphasis is able to replace that work with higher value AI programs, which would put pressure on revenue growth and limit any uplift to net margins.
  • NeoIP and the broader Mphasis.ai stack depend heavily on hyperscalers, AI infrastructure vendors and partner ecosystems, so any slowdown in partner led pipelines or clients choosing alternative platforms could restrict the ramp up of the record AI heavy deal pipeline and weigh on earnings momentum.
  • BFSI and insurance currently contribute 66% of revenue, so a turn in credit cycles, regulatory interventions or lower IT budgets in these sectors could leave Mphasis exposed to a concentrated end market and dampen both revenue growth and EBIT margin resilience.
  • Large modernization and AI transformation deals typically ramp over several quarters, and any execution issues, delays in client sign offs or lower than expected TCV to revenue conversion on the US$2.1b LTM TCV could limit operating leverage and slow the improvement in earnings.
  • The company continues to invest materially in AI platforms, contract acquisitions and large deal related assets, so if client adoption or pricing of AI led solutions does not scale as expected, amortization and carrying costs could outpace benefits and weigh on net margins and earnings.

Valuation

How have all the factors above been brought together to estimate a fair value?

  • The assumed bullish price target for Mphasis is ₹3521.0, which represents up to two standard deviations above the consensus price target of ₹3079.34. This valuation is based on what can be assumed as the expectations of Mphasis's future earnings growth, profit margins and other risk factors from analysts on the bullish end of the spectrum.
  • However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of ₹3521.0, and the most bearish reporting a price target of just ₹2140.0.
  • In order for you to agree with the more bullish analyst cohort, you'd need to believe that by 2029, revenues will be ₹228.6 billion, earnings will come to ₹29.2 billion, and it would be trading on a PE ratio of 35.8x, assuming you use a discount rate of 15.7%.
  • Given the current share price of ₹2258.5, the analyst price target of ₹3521.0 is 35.9% higher.
  • We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.

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Disclaimer

AnalystHighTarget is a tool utilizing a Large Language Model (LLM) that ingests data on consensus price targets, forecasted revenue and earnings figures, as well as the transcripts of earnings calls to produce qualitative analysis. The narratives produced by AnalystHighTarget are general in nature and are based solely on analyst data and publicly-available material published by the respective companies. These scenarios are not indicative of the company's future performance and are exploratory in nature. Simply Wall St has no position in the company(s) mentioned. Simply Wall St may provide the securities issuer or related entities with website advertising services for a fee, on an arm's length basis. These relationships have no impact on the way we conduct our business, the content we host, or how our content is served to users. The price targets and estimates used are consensus data, and do not constitute a recommendation to buy or sell any stock, and they do not take account of your objectives, or your financial situation. Note that AnalystHighTarget's analysis may not factor in the latest price-sensitive company announcements or qualitative material.

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