The roadmap calls the company LTM, and that is now the correct current corporate name.

The official investor-relations page lists:

LTM Limited — formerly LTIMindtree Limited.

The stock and many historical databases still use LTIM or LTIMindtree, so both names naturally appear in this article for continuity.

For Bull Run's company pages, see TCS, LTM / legacy LTIMindtree stock page, How to Analyse IT Services Stocks and LTM vs Persistent Systems.

Q1 FY27 operating comparison

Scale alone understates TCS's advantage

TCS generates about 6.2 times LTM's quarterly revenue.

Its workforce is also roughly 6.8 times larger.

But scale is valuable only when it creates better economics rather than bureaucracy.

TCS's 24% operating margin shows that its size is not merely volume.

It converts scale into:

• large-account mining,
• global delivery leverage,
• procurement efficiency,
• proprietary platforms,
• specialised industry teams,
• lower sales cost per revenue dollar,
• stronger utilisation of shared infrastructure.

This is why TCS remains difficult to compare with a normal mid-cap IT company using only percentage growth.

LTM's advantage is denominator size

LTM generated approximately $1.22 billion of quarterly revenue.

Adding $100 million of annualised revenue to that base can move the percentage growth rate meaningfully.

The same absolute addition is barely visible inside TCS.

This gives LTM more room to produce sustained mid-to-high-single-digit or potentially double-digit growth if its AI strategy, client mining and large deals execute well.

Q1 demonstrated this advantage:

LTM CC growth 6.4% versus TCS 3.2%.

That does not mean LTM added more absolute revenue.

It means the smaller denominator produces a faster growth rate.

The most interesting comparison is AI revenue density

The tempting conclusion would be:

LTM is more AI-heavy because 12% is higher than 8.5%.

That conclusion is too aggressive.

The definitions are different.

LTM management specifically said its $150 million figure covered its pure-AI native businesses and excluded enterprise-AI work where AI is embedded as an enabler inside larger transformation programmes.

TCS uses its own annualised AI-business definition.

The percentages therefore measure different boundaries.

TCS's $2.6 billion AI run-rate is already a business, not an experiment

At a $2.6-billion annualised revenue run-rate, TCS's AI business is already larger than many listed Indian technology companies.

The figure increased 13.6% sequentially.

TCS also won an $800-million AI-led transformation engagement with SKF.

Other Q1 work included:

• AI-led utility transformation,
• agentic HR operations,
• AI-first SRE,
• AI-driven engineering operations,
• enterprise partnerships with Anthropic and Mistral,
• AI-native GCC services.

This breadth matters because enterprise AI spending is shifting from isolated proof-of-concept projects toward large-scale transformation contracts.

LTM's AI story may be more concentrated but also more economically visible

LTM described its AI revenue across creative, business and industrial AI at approximately $150 million for the quarter.

Management said virtually all new deals increasingly contain AI components.

The company's thesis is that enterprise AI should become a larger part of traditional technology services rather than remain a separate consulting category.

This creates a strategic opportunity.

If AI revenue grows faster than traditional services, LTM can increase growth without adding people proportionately.

That would support:

• better revenue per employee,
• higher utilisation,
• greater outcome-based pricing,
• higher future margin.

LTM has already moved its top clients toward outcome-based pricing

Management commentary around Q1 indicated that outcome-based pricing had been introduced across its top-ten client relationships.

This is strategically important in an AI world.

Traditional time-and-materials pricing rewards employee hours.

AI reduces the number of employee hours required for some tasks.

If the vendor continues charging only for hours, automation can reduce revenue.

Outcome pricing allows the provider to capture some of the value created by productivity.

That is one of the most important transitions for the entire IT-services industry.

The margin gap is still enormous

There is approximately an 850-basis-point margin difference.

This is not a small efficiency gap.

It means TCS generates materially more operating profit from every incremental dollar of revenue.

But the comparison has an important asymmetry.

TCS has less obvious margin upside because it already sits at 24%.

LTM has much more room to improve.

LTM does not need to reach TCS's margin to create substantial earnings growth

Suppose LTM moves from 15.5% to 17.0% while revenue continues growing.

That 150-basis-point margin expansion on more than ₹46,000 crore of annualised current-quarter revenue would create a meaningful uplift in operating profit.

This simplified illustration ignores currency and quarterly seasonality.

The point is structural:

mid-cap IT companies can generate earnings growth from both revenue growth and margin convergence.

TCS's earnings growth relies more heavily on revenue, pricing, AI productivity and client mining because the margin base is already high.

Q1 order intake suggests both have adequate demand visibility

TCS reported a total contract value of $9.5 billion.

LTM reported order inflow of $1.68 billion, up approximately 3% year on year.

LTM's trailing twelve-month order book was approximately $6.65 billion under its disclosed framework.

The numbers should not be divided mechanically because contract definitions, renewals and booking methodologies differ.

Still, both exceed one quarter of revenue by a meaningful amount.

That indicates healthy demand visibility.

Order intake is not revenue

LTM's active client base reached 740

LTM added 16 clients in Q1 and ended the quarter with approximately 740 active clients.

This is a meaningful client base for a $5-billion annualised company.

The quality question is how many relationships can become very large.

TCS's competitive advantage has historically been deep mining of large enterprise accounts over decades.

LTM does not need thousands more clients.

It needs more customers moving into progressively larger revenue bands.

LTM's industry mix produced one notable weakness

Financial services declined approximately 2.5% in constant currency year on year under Q1 reporting.

Other major clusters grew faster:

• consumer: about 18.2%,
• technology: around 10%,
• production: around 5.3%.

This is worth monitoring because BFSI has historically been one of LTM's most important sectors.

A broader growth engine would reduce concentration and improve resilience.

TCS's vertical mix is broader and more balanced

TCS's largest vertical, BFSI, represented approximately 32.1% of Q1 revenue.

Other large verticals included consumer, life sciences, manufacturing, technology, communications and energy.

Regional markets were also meaningful.

This diversification gives TCS the ability to absorb temporary weakness in one industry.

For example, consumer business declined 1.2% YoY CC in Q1 while energy and regional markets grew substantially faster.

Utilisation suggests LTM is already running efficiently

LTM reported utilisation excluding trainees of approximately 86.4%, up 70 basis points sequentially.

That is high.

Higher utilisation helps margin because more employees are working on billable assignments.

But utilisation cannot rise indefinitely.

A company operating too close to maximum capacity risks:

• employee burnout,
• delivery bottlenecks,
• limited ability to ramp new deals.

Future margin gains therefore increasingly need productivity, pricing and pyramid optimisation rather than utilisation alone.

Attrition does not separate the two

LTM attrition was approximately 13.3%.

TCS reported 13.6%.

That difference is too small to drive an investment conclusion.

The broader IT labour market is far more stable than during the 2021–2022 hiring boom.

The more important question is the skill mix.

LTM management said hiring priorities are shifting toward employees with AI engineering, data, domain and deployment capabilities.

TCS is also making large AI-skilling investments.

Why employee growth may become less relevant

Historically, investors often used headcount as a leading indicator of IT-services growth.

More employees usually meant more billable capacity.

AI weakens that relationship.

If software engineering, testing and operations become more automated, a company may grow revenue without adding equivalent headcount.

LTM ended Q1 with 87,886 employees, down 64 sequentially, despite positive revenue growth.

That is exactly the kind of divergence investors should expect to see more often.

The valuation comparison has changed materially after the IT sell-off

LTM traded at approximately a 52% P/E premium to TCS.

That is striking because TCS has:

• higher margins,
• much greater scale,
• a larger AI revenue pool,
• stronger return ratios.

The market is paying LTM for faster future earnings growth.

That premium can be rational if:

• CC growth remains materially above TCS,
• operating margin moves into the high teens,
• AI revenue compounds rapidly,
• larger clients deepen.

Why Bull Run's legacy LTM valuation row is not used as the primary current source

Bull Run's current database row still carries the legacy LTIM symbol and stale financial/technical dates from before the latest Q1 FY27 refresh.

The official company now trades under LTM.

The stock page remains useful as an internal navigation asset, but this article uses:

• fresh Q1 FY27 operating results, and
• fresh August 31 external TTM valuation data.

This prevents a database-migration issue from becoming an investment conclusion.

TCS has the stronger current cash-and-return profile

TCS reported net cash from operations of $1.31 billion, approximately 93% of adjusted net income.

Bull Run's latest usable TCS ROE was approximately 48.7%.

LTM's historical Bull Run ROE field is not used as a current Q1 FY27 metric because the row is stale.

LTM management commentary did report quarterly return on capital employed around 29.8%, which still represents strong asset-light economics.

The broader conclusion remains:

both companies generate attractive returns on capital, but TCS operates at a different level of margin and shareholder-capital efficiency.

Which company has the better AI position?

TCS has the stronger absolute monetisation evidence.

A $2.6-billion annualised AI business gives it enormous scale.

LTM may have more visible AI intensity relative to its own revenue base.

Its $150-million pure-AI quarterly run-rate is already material.

Because definitions differ, the percentages should not be turned into a simplistic ranking.

Which has better growth?

LTM currently.

Q1 constant-currency growth was 6.4% versus TCS at 3.2%.

The smaller base gives LTM more room to compound faster.

Which has better margins?

TCS by a wide margin.

24.0% adjusted operating margin versus LTM at 15.5%.

LTM's counterpoint is that its margin is improving rather than merely holding steady.

Which has more margin upside?

LTM.

Moving from the mid-teens toward the high teens can create substantial incremental earnings.

TCS already operates near an industry-leading level.

Which is cheaper?

TCS on current TTM earnings.

Roughly 17.1x versus LTM around 25.9x as of August 31.

This is one of the most interesting valuation inversions in large Indian IT: the larger, higher-margin company currently trades at the lower P/E.

TCS vs LTM: category-by-category

Which is stronger in 2026?

TCS is currently the stronger business at the current valuation.

Its 24% margin, enormous client network, $9.5-billion order book, $2.6-billion AI run-rate and current ~17x earnings multiple create an unusually strong quality-versus-price combination.

LTM is the stronger operating-upside story.

It is growing faster, margin is expanding and pure-AI revenue is already material.

If LTM can sustain 6–8%+ CC growth while moving margin toward 17–18%, earnings can compound materially faster than TCS.

The difficulty is that the stock already trades at a substantial earnings premium.

The current comparison is therefore:

TCS = superior current economics with lower valuation.

LTM = faster growth plus margin-convergence potential at a higher valuation.

What to monitor next

• LTM CC growth: must remain above large-cap peers to support the premium.
• LTM operating margin: the most important earnings-upside lever.
• LTM pure-AI revenue: future disclosures can test whether the $150-million quarterly run-rate compounds.
• LTM financial-services growth: Q1 weakness should not become persistent.
• LTM large-client mining: more clients moving into high-revenue bands would deepen the moat.
• TCS AI annualised revenue: tests commercial adoption at enterprise scale.
• TCS TCV conversion: the order book needs to turn into faster revenue growth.
• TCS margin: maintaining the mid-20s while investing in AI remains the defining moat.

Frequently asked questions