Is LTM a buy according to AI stock analysis?

LTM AI stock analysis does not call LTM an automatic buy because FY26 quality and net cash are offset by execution risk and a weak long-term technical trend. The case improves if AI-led demand, deal conversion, revenue growth, utilization, margins, and cash flow confirm that the business can outgrow mature IT-services expectations.

What is the LTM AI stock forecast?

The LTM AI stock forecast is scenario-based, not a fixed target. The July 11, 2026 model produced a bullish range of ₹6,300 to ₹6,800, a base range of ₹4,500 to ₹4,950, and a bearish range of ₹2,900 to ₹3,250 before dividends.

What technical levels matter for LTM?

The key LTM technical levels are support near ₹3,700 to ₹3,750, resistance near ₹3,880 to ₹4,050, the 50-day average at ₹4,052.28, and the 200-day average at ₹5,075.89. A sustained break below support weakens the recovery case, while a volume-backed reclaim of the 50-day area would improve it.

Can AI predict LTM stock price?

No, AI cannot reliably predict stock prices. AI can organize LTM financials, valuation, technical levels, client demand, and risks into scenarios, but earnings, deal wins, currency, AI pricing, market multiples, and investor sentiment can change the outcome.

How should I use this LTM AI trading strategy?

Use this LTM AI trading strategy as a research checklist, not a personalized trade recommendation. Confirm live NSE price action, support and resistance, volume, results, order inflow, utilization, margins, cash flow, and risk limits before making any decision.

What is the main risk in LTM AI stock analysis?

The main risk is that AI becomes a productivity and pricing headwind before it becomes a sufficiently profitable source of LTM growth. A client-spending slowdown, utilization decline, wage pressure, integration issues, or multiple compression could hurt returns even if the company remains profitable.

LTM Limited research snapshot

LTM AI Stock Analysis

LTM AI stock analysis currently sees LTM Limited as a profitable India-based technology-services company with broad industry exposure, rising FY26 revenue, net cash, and a growing order book. The central uncertainty is whether its AI-first strategy, large-deal conversion, and margin discipline can produce growth that justifies a premium above a mature IT-services multiple. At the July 11, 2026 data cutoff, the latest completed NSE session closed at ₹3,854.40 on July 9, and the mechanically verified equity value was about ₹1.14 trillion. This LTM AI stock analysis is an informational research tool, not investment advice.

Current price

₹3,854.40

Market cap

₹1.14 trillion verified market capitalization

AI score

66 / 100

Rating

Profitable digital-services franchise with a durable client base, but AI execution and valuation reset risk

Trend status

Long-term downtrend while price remains below the 50-day and 200-day moving averages

Data cutoff (updated weekly)

July 11, 2026

Informational use only. This page is not investment advice.

Research quality check

information Richness: A-level information richness. LTM publishes audited annual reports, quarterly releases, earnings-call transcripts, investor presentations, exchange disclosures, and operational metrics, while independent market-data services provide a second source for financial and price data.
bias Check: The main AI bias risk is treating every enterprise AI contract, rebrand, or large-deal headline as recurring high-margin revenue. The countercheck is to follow actual revenue growth, utilization, attrition, operating margin, cash conversion, client concentration, and integration costs.
ai Confidence: High for FY26 reported financials, cash, debt, share count, price history, and technical indicators. Medium for forecast scenarios because client technology spending, currency, pricing, hiring, and AI-led productivity changes can alter outcomes quickly.
investment Certainty: Medium-low. The business has real scale and cash generation, but investment returns depend on renewed growth and multiple support while the share price remains below long-term trend references.

Quick verdict table

Dimension	Conclusion	Confidence
Business quality	LTM sells technology consulting, digital engineering, cloud, data, cybersecurity, AI, and managed-services work to enterprises across financial services, technology, manufacturing, consumer, and healthcare verticals.	High
Moat	Long client relationships, domain knowledge, delivery scale, talent, and switching costs support the franchise, although global IT-services competition limits pricing power.	Medium-high
Management	CEO and MD Venu Lambu and the leadership team are steering an AI-first strategy and five-year Lakshya plan. Their test is converting order inflow into profitable, repeatable revenue without diluting delivery quality.	Medium
Financial trend	FY26 revenue rose 11.3% to ₹423.08 billion, reported PAT rose 8.3% to ₹49.83 billion, and EBIT margin improved to 15.4%, while cash and investments reached about ₹154.45 billion.	High
Valuation	At the July 9 close, the auditable FY26 inputs imply about 22.79x diluted EPS, 4.76x book value, and 29.55x free cash flow per share. This is not a distressed valuation despite the price decline.	High
Technical trend	The July 9 close was below the cited 50-day average of ₹4,052.28 and 200-day average of ₹5,075.89. RSI near 42.87 points to weak but not deeply oversold momentum.	High
Risk level	Client spending cuts, AI-driven pricing pressure, wage and utilization changes, currency exposure, delivery competition, acquisition integration, and a prolonged technical downtrend are material risks.	Medium-high
AI confidence	Historical data confidence is high. Confidence is lower for AI monetization, client budgets, technical turning points, and future valuation multiples.	High data confidence
Investment certainty	Medium-low because business quality and balance-sheet strength are offset by execution questions and a market trend that has not yet repaired.	Medium-low

LTM AI stock forecast

LTM AI Stock Forecast Scenarios

The LTM AI stock forecast uses a three-year scenario framework around the ₹3,854.40 July 9 close and FY26 diluted EPS of ₹169.13. Pineify financial_rigor.py calculated values near ₹6,600 in the bullish case, ₹4,727 in the base case, and ₹3,044 in the bearish case before dividends. These are scenario outputs, not price targets or promises.

Bullish case

₹6,300 to ₹6,800

More likely if large-deal wins convert into double-digit earnings growth, AI-led services expand without price erosion, utilization improves, margins hold or rise, and investors return to a 25x earnings multiple.

Base case

₹4,500 to ₹4,950

More likely if EPS compounds near 10%, client technology budgets remain steady, cash conversion stays healthy, and the market applies a roughly 21x multiple to a stable IT-services business.

Bearish case

₹2,900 to ₹3,250

More likely if discretionary spending weakens, AI compresses pricing faster than LTM gains new work, utilization falls, wage costs rise, acquisitions distract management, or the market de-rates the shares toward 16x earnings.

LTM AI technical analysis

LTM AI Technical Analysis

LTM AI technical analysis uses the latest completed price session available at the July 11, 2026 cutoff. StockAnalysis recorded a ₹3,854.40 close on July 9, a 50-day moving average of ₹4,052.28, a 200-day moving average of ₹5,075.89, RSI of 42.87, and 20-day average volume of 460,059 shares. This page is static, so confirm every level in a live NSE chart before acting.

Level	Value	Why it matters
Current price	₹3,854.40	NSE closing price on July 9, 2026, the latest completed session in the source table at the cutoff.
Near support	₹3,700 to ₹3,750	This range includes several recent lows and should be treated as a planning zone, not a guaranteed floor.
Near resistance	₹3,880 to ₹4,050	Recent July highs approach the lower end, while the 50-day moving average near ₹4,052.28 caps the upper end.
50-day moving average	₹4,052.28	Price was below this reference at the data cutoff, so a sustained reclaim would improve the near-term trend reading.
200-day moving average	₹5,075.89	Price was materially below this long-term reference, which keeps the broader technical trend weak.
Momentum	RSI near 42.87	Momentum was below neutral but not at a conventional oversold extreme.
Volume	20-day average near 460,059 shares	A recovery through resistance is more credible if it occurs with volume above this recent average.
Volatility	Moderate, with recent daily ranges above 4%	The June 30 session ranged from ₹3,528.00 to ₹3,702.90, showing that position sizing needs room for event and sentiment moves.
Invalidation	Sustained close below ₹3,700	A decisive break below this zone would weaken the rebound setup and call for a new review of price, earnings, and risk controls.

LTM AI trading strategy

LTM AI Trading Strategy Framework

The LTM AI trading strategy is a rules-based research framework, not personal advice. Use live prices, position sizing, an explicit loss limit, and fresh checks of LTM results, order inflow, deal conversion, utilization, attrition, margin, cash flow, and client-spending commentary.

Trend-following setup

Wait for LTM to hold the ₹3,700 to ₹3,750 support zone and reclaim the ₹3,880 to ₹4,050 resistance band with volume. Check that earnings commentary supports a recovery in growth and margins before treating a chart move as durable.

A failed reclaim or a sustained close below ₹3,700 invalidates the short-term recovery setup.

Mean-reversion setup

If LTM revisits support while cash conversion, order inflow, utilization, and client retention remain intact, compare the lower price with FY26 EPS, free cash flow, net cash, and the base-case valuation range.

Do not average down solely because the price falls. Reassess if revenue growth, margins, deal quality, or cash conversion deteriorate.

Fundamental monitor

Track dollar and constant-currency revenue, order inflow, large-deal wins, BFSI and manufacturing demand, AI services adoption, utilization, attrition, operating margin, cash flow, dividend, and acquisition integration.

Reduce confidence when the valuation or share price improves without matching evidence in revenue, margins, free cash flow, or client demand.

Investment research summary

Four-master Research Compression

Business essence

Clients pay LTM to modernize systems, run technology operations, engineer digital products, manage cloud and cybersecurity work, and apply data and AI to business processes. The value proposition is delivery capability plus domain knowledge that helps clients change complex systems with less operational risk.

Moat

LTM has switching costs from embedded delivery teams, enterprise knowledge, account relationships, regulated-industry expertise, global talent, and a broad service portfolio. The moat is moderate rather than absolute because large clients can multi-source work and rivals can compete on price, talent, and AI tooling.

Munger risk inversion

The thesis can fail if enterprise technology budgets shrink, AI tools lower billable demand faster than LTM creates higher-value services, price competition rises, wage inflation returns, utilization slips, strategic acquisitions underperform, or key clients reduce vendor spend.

Management

Management is reorienting the company around an AI-first model, the Lakshya strategy, and New Horizons execution tracks. The important test is disciplined capital allocation and whether leadership turns order inflow into lasting margin and cash flow instead of relying on rebranding or announcements.

Industry trend

Enterprise modernization, cloud, cybersecurity, data, and applied AI are long-term demand drivers. The same shift can pressure traditional services pricing, however, because clients expect productivity gains and can consolidate vendors during slower macroeconomic periods.

Valuation and margin of safety

At ₹3,854.40, the audited inputs imply a roughly 22.79x PE, 29.55x P/FCF, and 1.95% dividend yield. Net cash and a 21.3% reported ROE support quality, but the margin of safety is more convincing after a verified growth recovery or at a lower multiple.

Source-backed data

LTM Data Table

Every metric below includes a source and last verification date.

Metric	Value	Source	Last verified
LTM share price	₹3,854.40 close on July 9, 2026	StockAnalysis NSE:LTM historical prices, sourced from S&P Global Market Intelligence	July 11, 2026
Market capitalization verification	₹1.143 trillion calculated as ₹3,854.40 x 296.59 million shares	StockAnalysis share statistics and Pineify financial_rigor.py market-cap verification	July 11, 2026
FY26 revenue	₹423.076 billion, up 11.3% year over year	LTM Q4 and FY26 investor release, cross-checked with StockAnalysis	July 11, 2026
FY26 profit and earnings	₹49.827 billion reported PAT and ₹169.13 diluted EPS. Adjusted PAT excluding the labor-code exceptional item was ₹53.779 billion.	LTM FY26 annual report and Q4 investor release, cross-checked with StockAnalysis	July 11, 2026
FY26 operating performance	₹75.552 billion EBITDA, ₹65.011 billion EBIT, and 15.4% EBIT margin	LTM Q4 and FY26 investor release	July 11, 2026
Cash and debt	₹154.45 billion cash and investments in the company release. StockAnalysis listed ₹145.77 billion cash, ₹23.10 billion debt, and ₹122.67 billion net cash under its classification.	LTM earnings-call transcript and StockAnalysis balance-sheet statistics	July 11, 2026
FY26 cash flow	₹47.988 billion operating cash flow and about ₹38.68 billion free cash flow after ₹9.31 billion capital expenditure	LTM Q4 and FY26 investor release, cross-checked with StockAnalysis	July 11, 2026
Technical indicators	50-day moving average ₹4,052.28, 200-day moving average ₹5,075.89, RSI 42.87, and 20-day average volume 460,059 shares	StockAnalysis NSE:LTM statistics, sourced from S&P Global Market Intelligence	July 11, 2026
Three-scenario valuation audit	Pineify financial_rigor.py produced ₹6,599.9 bullish, ₹4,727.4 base, and ₹3,044.0 bearish values from ₹169.13 EPS, three-year growth assumptions of 16%, 10%, and 4%, and 25x, 21x, and 16x target PE assumptions	Pineify financial_rigor.py scenario model	July 11, 2026

Frequently Asked Questions

Read the INFY AI stock analysis View the ACN AI stock forecast Explore the IBM AI technical analysis Compare ideas with AI Stock Picker

This LTM AI stock analysis is an informational research tool only and is not investment advice, a recommendation, or a promise of return. Forecast scenarios use public information available as of July 11, 2026 and can be wrong if LTM results, client spending, AI demand, pricing, currency, technical conditions, or market sentiment change.