AI Consensus Investment Thesis
INFY: Infosys Stock Price, Analysis & Forecast: 1 Year and 5 Year Targets
Infosys: 1-Year and 5-Year Forecast Outlook and Rating
Infosys (INFY) has an immediate Buy & Keep for Dividends consensus AI recommendation, based on 14 AI analysts.
The 1-year target is ₹1,191 for , with +5.33% expected return (+8.60% including net dividends) and a BUY rating.
The 5-year target is ₹1,899 for , with +67.95% expected return (+97.91% including net dividends) and a BUY rating.
Latest available market price: INR 1,131, as of 19 Oct 2026.
Dividend calculation details
Calculated net annual dividend yield: 3.4%. As of 2026-10-19.
Gross TTM: 4.25% · Two-year annualized gross: 4.02%.
Tax withholding assumption: 20% (IN). One-off special payments are excluded.
Original published assumption: 2.3% per year.
Return estimates compound the net annual yield at a constant rate over the stated return horizon (the remaining time to the fixed target date for current returns): (1 + price return) × (1 + net annual yield)years − 1.
Targets retain their original publication dates. Returns use the dated market close and the time remaining to each fixed target date. Current ratings also require fresh quotes and analysis, with more than 90 days remaining. Past targets have no forward return. Eligibility checked .
Infosys Flagship Insight
Enterprise Modernization Complexity And Capital Discipline Outweigh Automated Coding Deflation
High consensus confirms that massive enterprise system complexity and data governance protect core cash flows from automated coding disruption. Supported by high shareholder yields, float shrinkage, and currency buffers, valuation multiples should normalize, though persistent client pricing concessions on legacy maintenance remain the primary downside risk.
How were the Investment Thesis and Forecasts created?
14 AI advisors, guided by 9 analytical frameworks, contribute to the deep analysis by iPulse AI Engine.
Machiavelli (Insider)
Michael Burry (Vulture)
Sherlock Holmes (Whistleblower)
Universal Investor (Polymath)
Warren Buffett (Value Purist)
J.P. Morgan (Titan)
Superintelligence (Anthropologist)
Elon Musk (Visionary)
Ray Dalio (Strategist)
Ran across these frontier AI models
Google Gemini 3.8 Flash
Anthropic Claude Opus 5
OpenAI GPT-6 Astra
Latest published deep-analysis batch. Audit published forecasts in full transparency
Infosys: forecast questions
What is Infosys (INFY)'s 1-year price forecast?
Infosys's 1-year target is ₹1,191 for Sept 2027. The current AI rating is BUY. The expected return from the recorded close is +5.33%, or +8.60% modeled return including net dividends. Latest available market price: INR 1,131, as of 19 Oct 2026. The target date is fixed; this is not a new rolling forecast.
What is Infosys (INFY)'s 5-year price forecast?
Infosys's 5-year target is ₹1,899 for Sept 2031. The current AI rating is BUY. The expected return from the recorded close is +67.95%, or +97.91% modeled return including net dividends. Latest available market price: INR 1,131, as of 19 Oct 2026. The target date is fixed; this is not a new rolling forecast.
What is the return basis?
Latest available market price: INR 1,131, as of 19 Oct 2026. These are model projections, not guaranteed future prices.
How can I compare the AI opinions and audit past Infosys forecasts?
14 AI analysts contribute to this publication. AI Opinions shows individual advisor forecasts and reasoning. Forecast History preserves earlier published batches; their figures describe their original publication, not today's outlook.
How does an AI-generated forecast for Infosys differ from Wall Street analyst consensus?
Wall Street consensus aggregates estimates from human analysts. For listed companies, these typically include brokerage price targets, earnings forecasts and ratings. iPulse AI's forecast for Infosys is a separate AI consensus generated through its own research workflow. Different inputs, forecast dates, assumptions and weighting can therefore produce different targets.
We believe the era of investment research conducted only by human analysts is drawing to a close. Frontier models increasingly match or exceed expert work on selected professional benchmarks, including evaluations covering financial analysis. Research on multi-model synthesis also shows that combining model responses can improve on a single model's output in the tasks studied.
iPulse AI generates transparent investment research and market forecasts using a swarm of AI configurations, analytical frameworks and frontier models. The workflow applies multiple verification, challenge and synthesis layers, with selective editorial review under Russlan Ramdowar, Editor-in-Chief. Published assumptions, disagreements and past forecasts remain available so readers can inspect the reasoning and audit outcomes.
For a research cycle covering 426 assets with 14 perspectives per asset, our internal workload model estimates approximately 114,000 hours of traditional analyst work. It assumes 16 hours per individual research report, 28 hours per consensus for synthesis and validation, plus shared data preparation. Parallel AI execution allows a deep-analysis cycle across hundreds of assets to complete in up to one day. The human-hours figure is an illustrative workload estimate, rather than measured time savings. Our research methodology explains the automated workflow.
Infosys: Investment Thesis Summary
Dotted terms link to the glossary; hover or focus for a preview. Browse technical terms
If you invest ₹10,000 in Infosys at the latest market close (19 Oct 2026): ₹19,791 by Sept 2031.
Returns use the same dated market close, fixed targets and remaining dividend period as the forecast table.
Benchmark comparison requires matching dated price and currency inputs.
* Return is calculated incl. 3.4% net dividend yield for Infosys.
The investment thesis centers on a stark divergence between market sentiment and economic reality. Prevailing pricing reflects fears that generative artificial intelligence will rapidly hollow out IT services by automating code maintenance. In reality, deploying autonomous models across regulated Fortune 500 environments exposes massive data fragmentation, compliance liabilities, and hybrid architectural entanglements that require human-led systems engineering. Trading at a cyclical trough multiple, the business generates over three point eight billion dollars in annual free cash flow, yielding an exceptional cash return framework. While corporate client procurement teams successfully demand productivity concessions on legacy maintenance contracts, internal delivery automation and structural currency depreciation insulate consolidated operating margins near twenty-one percent. Valuation sensitivity remains tied to constant-currency revenue conversion and pricing retention on contract renewals.
Key insights
- Persistent share repurchases retiring three to four percent of equity annually compound per-share earnings independently of modest top-line constant-currency expansion.
- Enterprise liability fears create an insurmountable switching moat, as corporate risk officers refuse unverified autonomous code deployments without accountable institutional counterparties.
- Structural currency mismatch provides durable operating margin insulation, as hard-currency billing revenues comfortably absorb domestic engineering wage inflation across offshore centers.
Infosys: 5 Year Consensus Forecast
20 quarterly price targets, returns and rationale, with advisor range and benchmark
Forward returns are updated using the latest market close price of INR 1,131, as of 19 Oct 2026.
Dividend calculation details
Calculated net annual dividend yield: 3.4%. As of 2026-10-19.
Gross TTM: 4.25% · Two-year annualized gross: 4.02%.
Tax withholding assumption: 20% (IN). One-off special payments are excluded.
Original published assumption: 2.3% per year.
Return estimates compound the net annual yield at a constant rate over the stated return horizon (the remaining time to the fixed target date for current returns): (1 + price return) × (1 + net annual yield)years − 1.
The consensus target follows an expert-weighted price path synthesized from 14 AI advisor opinions. See Opinion weights and rationale for the exact allocation and reasoning.
Forecast methodology and reference values
Published targets are anchored on 18 Sept 2026 at INR 1,051. Original quarter-to-quarter target changes are retained. Forward returns use the remaining time to each fixed target date.
The pessimistic and optimistic advisor base cases are the lowest and highest published advisor base-case targets for each quarter. The advisor at either extreme can change between quarters. Benchmark values are in USD; FX values are exchange rates.
Scroll the table horizontally to read every column.
| Quarter | Evidence-Weighted Consensus Price Path | Individual Advisor Range & Reference Forecasts | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Consensus target (INR) | Forecast quarter-to-quarter price change | Forward price return | Forward return incl. net dividends | Forecast rationale | Pessimistic Advisor Base Case (INR) | Optimistic Advisor Base Case (INR) | S&P 500 benchmark (USD) | FX (USD/INR) | |
| ₹1,072 | +1.91% | -5.19% | -4.67% | Initial valuation stabilization takes hold as substantial interim dividend disbursements and active share repurchase programs absorb macro headwinds, counterbalancing seasonal client holiday furloughs and cautious enterprise technology budgets. | ₹1,009 | ₹1,114 | $750 | 96.8 | |
| ₹1,109 | +3.53% | -1.92% | -0.56% | Contract renewals reveal resilient enterprise core transformation commitments. Sustained operating margins above twenty percent reassure institutional investors that internal delivery automation effectively offsets pricing concessions on legacy application maintenance. | ₹1,030 | ₹1,170 | $736 | 97.7 | |
| ₹1,156 | +4.19% | +2.24% | +4.53% | Persistent domestic currency weakness against hard billing currencies enhances offshore operating margins. Annual capital distribution declarations and steady large-deal conversions support modest valuation recovery off trough multiples. | ₹1,051 | ₹1,240 | $743 | 98.2 | |
| ₹1,191 | +3.01% | +5.33% | +8.60% | Expanding enterprise demand for bespoke cloud modernizations and regulatory data architectures drives solid contract bookings. Delivery efficiencies help absorb scheduled compensation revisions across offshore technical delivery hubs. | ₹1,009 | ₹1,302 | $755 | 98.9 | |
| ₹1,239 | +4.04% | +9.58% | +13.92% | Announcement of major multi-year enterprise transformation frameworks prompts selective earnings upgrades. Relentless share retirements steadily shrink outstanding equity float, mechanically reinforcing per-share earnings growth. | ₹1,029 | ₹1,367 | $776 | 99.8 | |
| ₹1,281 | +3.44% | +13.29% | +18.77% | Fiscal year-end cash collections remain robust, yielding strong free cash flow. Management's disciplined capital return execution underpins equity stability, despite client procurement teams continuing to demand productivity rebates. | ₹1,008 | ₹1,449 | $787 | 101 | |
| ₹1,332 | +3.95% | +17.80% | +24.54% | Broader adoption of internal automated code refactoring compresses delivery hours on fixed-price projects. Preserved project gross margins offset lingering billing-rate friction across commoditized application testing towers. | ₹1,038 | ₹1,551 | $803 | 101 | |
| ₹1,372 | +3.03% | +21.34% | +29.36% | Digital systems integration and enterprise data governance mandates compensate for legacy maintenance runoff. Blended realizations stabilize, supporting sequential operating income expansion across Western corporate accounts. | ₹1,007 | ₹1,628 | $812 | 102 | |
| ₹1,417 | +3.23% | +25.32% | +34.72% | Contracted multi-year infrastructure renewals provide high earnings visibility. Continued programmatic share repurchases compress the equity float, defending the valuation multiple against broader macroeconomic growth moderation. | ₹1,017 | ₹1,726 | $839 | 103 | |
| ₹1,440 | +1.63% | +27.35% | +38.04% | Full-year results confirm steady low-to-mid single-digit organic revenue expansion alongside resilient operating margins near twenty-one percent. Valuation multiples normalize modestly as fears of immediate obsolescence recede. | ₹997 | ₹1,795 | $851 | 104 | |
| ₹1,498 | +4.01% | +32.48% | +44.81% | Tightening regulatory oversight of enterprise autonomous models accelerates demand for compliance monitoring and systems integration. High-margin risk consulting mandates broaden digital pipeline conversion across financial verticals. | ₹1,017 | ₹1,885 | $872 | 104 | |
| ₹1,538 | +2.72% | +36.02% | +49.93% | Progressive migration of client contracts toward value-based milestones allows delivery teams to retain internal automation savings, yielding positive operational leverage and steady per-share compounding. | ₹1,007 | ₹1,960 | $886 | 105 | |
| ₹1,585 | +3.02% | +40.18% | +55.81% | Dependable interim dividends and continuous open-market share buybacks attract defensive institutional capital, maintaining share price resilience despite standard fourth-quarter seasonal procurement lulls. | ₹1,027 | ₹2,058 | $910 | 106 | |
| ₹1,629 | +2.82% | +44.07% | +61.46% | Closing fiscal metrics demonstrate durable free cash flow generation and sustained return on equity above thirty percent. Float shrinkage continues to amplify per-share operational performance. | ₹996 | ₹2,120 | $916 | 107 | |
| ₹1,680 | +3.08% | +48.58% | +67.92% | Enterprise spending on autonomous workflow integrations and industrial cloud architectures broadens revenue diversification, stabilizing client retention across healthcare, manufacturing, and financial services. | ₹1,006 | ₹2,205 | $937 | 107 | |
| ₹1,723 | +2.60% | +52.38% | +73.67% | Mature deployment of automated internal development platforms keeps operating profitability well defended, successfully preserving operating spreads against both Western consultancies and specialized engineering boutiques. | ₹1,026 | ₹2,271 | $947 | 108 | |
| ₹1,766 | +2.46% | +56.19% | +79.49% | Disciplined capital allocation sustains an attractive total shareholder yield, supporting continued multiple normalization toward mid-teens earnings benchmarks as global monetary policy stabilizes. | ₹1,006 | ₹2,362 | $970 | 109 | |
| ₹1,804 | +2.20% | +59.55% | +84.87% | Full-year operational performance proves the structural viability of the systems orchestration business model. Durable cash conversion and debt-free solvency reinforce long-term fundamental support. | ₹1,016 | ₹2,433 | $980 | 109 | |
| ₹1,857 | +2.92% | +64.23% | +91.91% | Steady enterprise renewal rates and selective high-value digital advisory mandates preserve low-single-digit organic growth, while disciplined overhead control ensures consistent net cash generation. | ₹1,036 | ₹2,530 | $1,000 | 110 | |
| ₹1,899 | +2.24% | +67.95% | +97.91% | The five-year transformation culminates with the enterprise priced as an essential digital infrastructure utility. Cumulative share retirements, steady margins, and consistent dividends complete a resilient recovery. | ₹1,026 | ₹2,606 | $1,012 | 111 | |
Show remaining 18 quartersShow first 2 quarters only
All 20 quarters are displayed in the table above.
Infosys Stock Analysis & Scenarios Deep Dive
Infosys: Alpha Gap & Repricing Catalysts
Market Narrative
What does the market currently expect? Prevailing market sentiment dogmatically treats IT outsourcing as a structurally impaired labor-arbitrage relic destined for rapid disintermediation by autonomous coding tools. Financial media and sell-side downgrades fixate on decelerating constant-currency revenue growth and client technology budget pauses. Consequently, the crowd prices the equity near cyclical trough multiples, assuming billable engineering hours will collapse and contract pricing will enter an irreversible deflationary spiral.
Alpha Gap
What is the biggest difference between market expectations and our AI forecasts? The crowd underestimates value through excessive pessimism, overlooking the reality that enterprise AI implementation accelerates systems complexity rather than eliminating it. Raw foundation models cannot independently navigate messy legacy data architectures or assume operational liability. With free cash flow yield exceeding eight percent and an aggressive shareholder capital return framework retiring equity at depressed multiples, the market ignores durable cash conversion, structural rupee depreciation buffers, and indispensable switching-cost moats.
Repricing Catalyst
What could make the market recognize and close that gap? Convergence will be triggered over the next four quarters as consecutive quarterly financial releases demonstrate operating margins holding firmly above twenty percent alongside large-deal total contract value exceeding three point five billion dollars. Hard evidence that enterprise AI projects expand project scope and billing realization—rather than cannibalizing gross revenue—will dismantle the terminal obsolescence thesis and prompt institutional multiple re-expansion.
Infosys: Sentiment and Timing
What do sentiment, volatility, and the market-recognition cycle suggest about the thesis timing?
- Greed and Fear Sentiment
- Fear
- Volatility Regime
- Moderate
- Convergence Cycle Position
- Stabilization
Reports agree that market positioning reflects pronounced fear and capitulation over technological disruption. Disagreement centers on whether the stock is undergoing cyclical stabilization or structural reversal, determining whether multiple re-expansion occurs rapidly over twelve months or requires multi-year compounding.
Macro Regime Fit
Does the current market environment support the thesis? The macro regime presents a mixed setup. Restrictive global central bank monetary policy and elevated sovereign yields act as cyclical headwinds by delaying discretionary corporate enterprise software budgets. However, structural Indian rupee depreciation against the US dollar provides a decisive operational tailwind, naturally expanding offshore operating margins and insulating domestic cash generation from Western client spending caution.
Advisor Disagreement
What do our AI Advisors disagree about most? The primary disagreement across reports centers on contract renewal economics and pricing power. Optimistic perspectives argue that internal automation expands margins while complex enterprise AI deployments stimulate premium integration fees. In contrast, conservative assessments emphasize that enterprise procurement officers weaponize AI benchmarks to enforce structural rate cuts on legacy workloads, offsetting digital volume gains. Furthermore, opinions diverge on whether subdued dollar revenue growth represents a temporary cyclical capex freeze or secular commoditization. Resolving this tension requires monitoring whether consecutive quarterly prints achieve organic constant-currency revenue acceleration above three percent without breaching the guided twenty percent operating margin floor.
Infosys: Critical Influencing Factors
Near-certain positive forcesTop Drivers & Tailwinds
Near-certain forces that support the investment thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.
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| Driver / Tailwind | Category | Est. stock-price impact | Est. earnings impact | Why it matters |
|---|---|---|---|---|
| Aggressive capital return compounding | Capital Allocation | +24% | +16% | Management consistently returns over eighty-five percent of annual free cash flow via dividends and share buybacks, delivering a combined shareholder yield above eight percent. Retiring equity at depressed valuation multiples mechanically accelerates earnings per share compounding, establishing an unyielding fundamental floor that supports institutional accumulation across the five-year forecast horizon. |
| Enterprise legacy AI modernization | Innovation And Product | +22% | +20% | Deploying frontier generative models requires extensive data curation, hybrid cloud migration, and complex ERP architecture remediation. Deep domain expertise and proprietary integration frameworks convert corporate AI pilot interest into multi-year systems engineering contracts, offsetting commoditized application maintenance drag and sustaining mid-single-digit constant-currency revenue compounding. |
| Structural rupee translation buffer | Macroeconomic And Macrofinancial | +18% | +19% | With over eighty percent of revenue billed in major foreign currencies while operating delivery expenses remain heavily rupee-denominated, persistent currency weakness widens offshore operating margins. This natural foreign exchange hedge cushions profitability against domestic wage inflation and expands reported rupee-denominated net earnings during global macroeconomic slowdowns. |
| Delivery platform automation dividends | Operational Efficiency | +17% | +15% | Internal implementation of proprietary automated coding and testing platforms streamlines delivery across fixed-price engagements. By compressing developer project hours faster than contractual billing rates are renegotiated, the company defends consolidated operating margins above twenty percent while optimizing employee pyramid structures across global technical delivery hubs. |
Near-certain negative forcesTop Frictions & Headwinds
Near-certain forces that could slow, cap, or damage the thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.
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| Friction / Headwind | Category | Est. stock-price impact | Est. earnings impact | Why it matters |
|---|---|---|---|---|
| Legacy maintenance pricing deflation | Sector And Industry | -17% | -15% | Enterprise procurement officers aggressively leverage automated coding benchmarks during contract renewals to demand ten to twenty percent pricing concessions on commoditized application maintenance and testing. This structural rate erosion requires continuous volume expansion and digital project conversion simply to maintain flat baseline service revenues. |
| Discretionary IT budget rationalization | Macroeconomic And Macrofinancial | -14% | -11% | Elevated global benchmark interest rates and persistent corporate margin pressure compel Western enterprise leadership to defer non-essential digital transformation projects. Extended procurement cycles and delayed project starts cap organic constant-currency revenue growth in the low single digits, restraining near-term equity multiple expansion across the sector. |
| Cross-border regulatory visa friction | Regulatory | -10% | -8.0% | Intensifying trade protectionism, rising visa compliance expenditures, and proposed permanent filing levies in key Western client jurisdictions increase the expense of maintaining onshore technical personnel. Accelerating local hiring in higher-cost geographies elevates operational overhead, exerting persistent structural pressure on consolidated gross delivery margins. |
| Specialized AI talent compensation | Operational Efficiency | -9.0% | -8.0% | Acute industry competition for top-tier artificial intelligence architects, cloud orchestrators, and enterprise cybersecurity specialists inflates specialized compensation packages. These elevated personnel and retention expenses partially counteract internal automation savings, creating persistent friction against management's strategic efforts to push consolidated operating margins sustainably above twenty-two percent. |
Infosys: What Could Break or Accelerate the Thesis
Event Risk Score: Moderate 42/100Asset-level relative pressure from clustered consensus frictions and tail risks. This is not the probability or risk score of an individual force.Plausible downside scenariosTail Risks
Tail yet plausible downside scenarios selected for their highest potential impact.
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| Tail scenario | Chance of Occurring | Stock Price Impact | Why plausible / what changes |
|---|---|---|---|
| Autonomous coding disintermediation shock | 26% | -35% | A rapid breakthrough in autonomous reasoning software engines enabling corporate enterprises to execute end-to-end legacy code remediation without systems integrators would trigger widespread contract cancellations. Resulting double-digit revenue contractions and severe operating deleverage would crush operating margins below fifteen percent, precipitating severe equity multiple de-rating into single-digit territory. |
| Punitive cross-border services taxation | 21% | -28% | Escalating trade protectionism could lead key Western economies to enact discriminatory tax legislation restricting the corporate deductibility of offshore IT services or imposing aggressive border-adjustment equalisation levies. Such punitive measures would severely rupture cross-border labor-cost arbitrage economics, compelling costly onshore structural reorganizations and permanently impairing consolidated operating margins. |
Plausible upside scenariosTail Opportunities
Tail yet plausible upside scenarios selected for their highest potential impact.
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| Tail scenario | Chance of Occurring | Stock Price Impact | Why plausible / what changes |
|---|---|---|---|
| Outcome-based platform licensing inflection | 30% | +34% | A successful contractual transition from traditional time-and-materials billing toward outcome-linked software platform licensing would decouple revenue generation from human headcount. If enterprise clients adopt proprietary AI governance suites under recurring IP licensing frameworks, operating margins could expand beyond twenty-four percent, driving an aggressive valuation multiple re-rating toward enterprise software benchmarks. |
| Sovereign digital infrastructure megadeals | 32% | +28% | Escalating national data sovereignty mandates and public-sector cloud compliance initiatives could compel Western and Indo-Pacific governments to award massive, multi-billion-dollar enterprise platform overhaul contracts. Capturing these long-duration sovereign transformation programs would accelerate constant-currency revenue growth above eight percent and substantially enhance revenue visibility across shifting macroeconomic business cycles. |
Company Financial AnalysisInfosys: Earnings and Financials Analysis by AI
Financial figures available as of Sep 20, 2026. Only filings and source records available by this analysis date are included. View latest Infosys financials here.
Earnings and financials
Infosys generated fiscal 2026 revenue of 20.2 billion dollars, expanding 4.57% year-over-year, while net income rose 4.91% to 3.31 billion dollars. Headline growth appears modest because Western enterprise clients have exercised strict caution with discretionary digital consulting budgets under elevated global interest rates. However, underlying revenue from recurring managed services and large multi-year enterprise cloud migrations remained exceptionally stable, insulating the business from sudden operational shocks. The real financial highlight is cash generation purity. Trailing free cash flow reached 3.73 billion dollars, converting over 100% of reported net income into unencumbered cash. Rather than masking operational decay, the numbers describe a mature, cash-generative franchise whose robust contract backlogs provide continuous liquidity.
Revenue, earnings, and cash flow
The table compares up to five fiscal years of revenue, net income, and free cash flow available to this analysis.
| Fiscal year | Revenue | Net income | Free cash flow |
|---|---|---|---|
| 2026 | USD 20.2B | USD 3.3B | USD 3.7B |
| 2025 | USD 19.3B | USD 3.2B | USD 4.1B |
| 2024 | USD 18.6B | USD 3.2B | USD 2.9B |
| 2023 | USD 18.2B | USD 3B | USD 2.5B |
| 2022 | USD 16.3B | USD 3B | USD 3.1B |
Valuation context: historical P/E
The table compares up to five fiscal years of point-in-time valuation evidence available to this analysis.
| Fiscal year | P/E | Earnings basis | Currency basis | Ticker / reporting |
|---|---|---|---|---|
| 2026 | 16.4x | TTM | USD-normalized | INR / USD |
| 2025 | 24.2x | TTM | USD-normalized | INR / USD |
| 2024 | 24.0x | TTM | USD-normalized | INR / USD |
| 2023 | 23.7x | Annual | USD-normalized | INR / USD |
| 2022 | 35.6x | Annual | USD-normalized | INR / USD |
P/E uses historical market capitalization and earnings known at each period. Cross-currency observations are normalized to USD using point-in-time FX rates.
Profitability and margins
Operating margins held resilient at 20.3% in fiscal 2026 despite wage inflation and client pricing pressure, while net margins reached 16.44%. Although gross margins have structurally declined over the past decade from commoditization in basic software maintenance, profitability has established a sturdy equilibrium around the company's 20% to 22% target corridor. Margin stability is defended by internal productivity automation and favorable foreign exchange translation. With the Indian rupee weakening against major billing currencies, hard-currency revenues naturally translate into higher rupee margins, neutralizing domestic wage increases and proving that the company retains meaningful pricing power across complex enterprise architectures.
The table compares up to five fiscal years of operating income and reported profitability margins.
| Fiscal year | Operating income | Operating margin | Net margin |
|---|---|---|---|
| 2026 | USD 4.1B | 20.3% | 16.4% |
| 2025 | USD 4.1B | 21.1% | 16.4% |
| 2024 | USD 3.8B | 20.7% | 17.1% |
| 2023 | USD 3.8B | 21.0% | 16.4% |
| 2022 | USD 3.8B | 23.0% | 18.2% |
Balance sheet and leverage
The balance sheet is an uncompromised fortress of financial strength, exhibiting virtually zero gross funded debt, a debt-to-equity ratio of 0.10, and an interest coverage ratio exceeding 96x. Total assets of 16.45 billion dollars against a current ratio of 1.98 ensure that short-term obligations are thoroughly covered by liquid cash and equivalents. Reported equity contracted by 12.7% in fiscal 2026, but this reflects deliberate shareholder capital returns totaling over 4.1 billion dollars rather than operational losses. Free from debt-refinancing liabilities in a high-interest-rate environment, management retains complete strategic freedom to execute share repurchases and fund selective technology acquisitions.
The table compares up to five fiscal years of debt, liquidity, net cash or debt, and current-ratio evidence.
| Fiscal year | Total debt | Cash + short-term investments | Reported net cash / (debt) | Debt less (cash + short-term investments), calculated | Current ratio |
|---|---|---|---|---|---|
| 2026 | USD 967M | USD 3.8B | USD 1.4B net cash | USD -2.8B | 1.98x |
| 2025 | USD 962M | USD 4.5B | USD 1.9B net cash | USD -3.5B | 2.27x |
| 2024 | USD 1B | USD 3.4B | USD 771M net cash | USD -2.4B | 2.31x |
| 2023 | USD 70.7B | USD 2.4B | USD 471M net cash | USD 68.4B | 1.81x |
| 2022 | USD 46.1B | USD 3.2B | USD 1.7B net cash | USD 43B | 2.00x |
Reported net debt retains the source definition, which can deduct cash alone. Cash plus short-term investments is broader liquidity; the separately calculated column subtracts that full amount from total debt for the same fiscal period and currency. Reported net debt below zero is displayed as net cash. Current ratio is current assets divided by current liabilities.
Capex and investment intensity
Infosys maintains a strictly asset-light operating model, allocating merely 1.52% of fiscal 2026 revenue to capital expenditures. Unlike hardware manufacturers or cloud hyperscalers pouring tens of billions into rapidly depreciating datacenter infrastructure, Infosys directs capital into software toolchains, cloud sandboxes, and developer training. Physical fixed assets remain minimal, preventing costly capital impairment risks. This spending restraint liberates nearly all operating profits into free cash flow. Sourcing advanced computing power on demand through cloud partnerships rather than building private supercomputers allows management to channel surplus liquidity directly into generous dividends and share repurchases, sustaining superior return on invested capital.
The table compares up to five fiscal years of capital expenditure and research-and-development investment.
| Fiscal year | Capital expenditure | R&D spend |
|---|---|---|
| 2026 | USD 306M | -- |
| 2025 | USD 263M | -- |
| 2024 | USD 266M | USD 135M |
| 2023 | USD 319M | USD 129M |
| 2022 | USD 290M | USD 124M |
Behind the synthesisInfosys: How Each Individual AI Forecaster Opinion Shapes the Global Consensus
This publication’s recorded synthesis allocated voting influence across 14 advisor opinions. The weights and rationales below are retained from that synthesis.
The analysis reveals high consensus on balance-sheet strength, robust free cash flow conversion, and substantial shareholder capital returns exceeding eight percent annually. Most inputs agree that enterprise AI adoption creates complex data hygiene and integration workloads that prevent immediate corporate disintermediation. However, reports diverge on contract pricing power: optimistic views assume automation expands margins, whereas grounded forensic reviews demonstrate that enterprise procurement teams weaponize automated coding tools to extract contract discounts, keeping organic constant-currency revenue growth modest. The contrarian stagnation case highlights anemic research spending and billable-hour deflation, but understates switching costs and float reduction. Consequently, relative weights prioritize rigorously sourced reports that incorporate verified financial disclosures, flat sequential dollar sales, regulatory labor costs, and realistic pricing givebacks over narratives assuming an effortless return to historical valuation multiples.
All 14 opinions
Universal Investor AI
The Polymath
OpenAI GPT-6 Astra · 2026-09-03 releaseWeight: 13.5%
Offers exceptional empirical rigor, cross-referencing IFRS filings, regulatory disclosures, and organic growth realities. It correctly identifies flat sequential dollar volumes, non-operating tax benefits, and acquisition contributions, providing the most disciplined, evidence-grounded valuation bridge in the pool.
Universal Investor AI
The Polymath
Anthropic Claude Opus 5 · 2026-07-24 releaseWeight: 12.5%
Provides excellent forensic detail on statutory labor code charges, H-1B visa fee liabilities, and narrowed constant-currency guidance. Its emphasis on share-count reduction driving per-share compounding despite muted top-line expansion is highly realistic and causally coherent.
Superintelligence AI
The Anthropologist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.7%
This analysis provides sound reasoning on enterprise AI data hygiene and middleware integration offsetting commoditized coding deflation. It balances margin defense with realistic revenue headwinds, though its valuation expansion assumptions are somewhat generous given macroeconomic budget scrutiny.
Universal Investor AI
The Polymath
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.7%
Balanced perspective linking Project Maximus cost optimization, proprietary automation, and large-deal contract conversion. The analysis accurately models float shrinkage, though its projected earnings growth trajectory leans slightly optimistic relative to conservative corporate spending.
Superintelligence AI
The Anthropologist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.7%
Presents a pragmatic synthesis of enterprise bureaucracy, legacy inertia, and operational liability shields preventing immediate software disintermediation. Its measured return path and capital return compounding reflect plausible mid-single-digit fundamental execution.
Michael Burry AI
The Vulture
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.7%
The report effectively highlights the strong free cash flow yield and aggressive share repurchase discipline as an equity floor. However, its projected multiple re-rating toward historical peaks underestimates persistent billing-rate compression on legacy software maintenance contracts.
Sherlock Holmes AI
The Whistleblower
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.7%
Forensically sound review of cash conversion, working capital stability, and currency mechanics. While appropriately cautious on billing rates, its outer-year multiple expansion assumption remains slightly high given mature industry growth dynamics.
Universal Investor AI
The Polymath
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.7%
Provides a well-grounded thesis on enterprise AI integration bottlenecks, data sanitization demand, and vendor consolidation. Its balanced treatment of pricing givebacks and currency buffers justifies solid representation in the consensus weighting.
Ray Dalio AI
The Strategist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.8%
Correctly identifies balance sheet insulation and currency translation buffers, but relies on overly aggressive constant-currency growth re-acceleration and multiple expansion that downplay structural client procurement givebacks on routine application development.
Warren Buffett AI
The Value Seeker
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.8%
Strongly articulates client switching costs and owner earnings durability from debt-free operations. However, it overstates long-term pricing power by assuming legacy application maintenance contracts will escape structural rate reductions as automated development tools proliferate.
Warren Buffett AI
The Value Seeker
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 5.8%
Accurately details high returns on equity and capital-light owner economics. Nonetheless, its assumption that automated code refactoring can rapidly expand gross margins overlooks client procurement demands for immediate productivity pass-throughs.
J.P. Morgan AI
The Titan
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 4.8%
Captures institutional vendor consolidation dynamics and sovereign banking moats effectively, but models an implausible valuation surge to twenty times earnings, underestimating corporate client resistance to paying premium multiples during tech capex pauses.
Niccolo Machiavelli AI
The Insider
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 4.8%
Offers astute insight into institutional liability shields and regulatory capture, but projects an aggressive return path that underestimates the friction of Western enterprise spending deferrals and onshore compliance overhead.
Elon Musk AI
The Visionary
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 3.8%
Presents a rigorous contrarian challenge focusing on anemic R&D spending, commoditization, and billable hour collapse. However, its terminal stagnation thesis understates the substantial inertia of enterprise legacy software and durable capital return floors.
References & Context
Research Provenance
Analysis generated by iPulse AI Engine v7 using recorded market data, operating under the editorial standards and supervision of Russlan Ramdowar, Editor-in-Chief.
External references below are sources recorded by the researcher agents for this Infosys forecast batch.
Primary analysis inputs
- iPulse AI Multi-Agent Forecasts — independent analyst personas, model outputs, and consensus synthesis.
- iPulse AI Global Events Context — macroeconomic, geopolitical, regulatory, and industry-event context.
- Structured market history — prices, distributions, volatility, identifiers, and listing metadata.
- Company earnings and financial statements — revenue, profitability, balance-sheet, cash-flow, and investment trends.
- Researcher web evidence — public sources consulted to challenge and contextualize the forecast thesis.
Independent AI Advisor panel
- AI Advisors
- 14
- AI Researchers
- 11
- AI Thinkers
- 3
Sources retained from AI Researcher searches
Asset-specific · Researcher web38 available sources from this batch. The first 15 are shown below; expand to read the rest.
- Federal Reserve Board - Federal Reserve issues FOMC statement federalreserve.gov
- Infosys Ltd - Form 20-F - FY2026 sec.gov
- Infosys Ltd - Form 6-K - FY2026 sec.gov
- Infosys Ltd - Form 6-K - FY2026 sec.gov
- Infosys Ltd - Form 6-K - FY2026 sec.gov
- Infosys Share Price today - Live NSE/BSE | Bajaj Broking bajajbroking.in
- Infosys Q4 Results 2026: Stock Falls 5% - Buy or Sell? Check Target Price blog.liquide.life
- Monday, December 29, 2025 | 11:19 AM ISTहिंदी में पढें business-standard.com
- Infosys dividend today: History, results timing, preview, stock returns, target prices - BusinessToday businesstoday.in
- Indian IT stocks gain as AI leaders call for slower advances | MarketScreener Canada ca.marketscreener.com
- Infosys en.wikipedia.org
- Infosys Limited (INFY.NS) Stock Historical Prices & Data - Yahoo Finance finance.yahoo.com
- Indian IT Sector Analysis 2026: A Deep Dive into Valuation - ICICI Direct icicidirect.com
- india s infosys rises after strong 2026 view lifts it index ce7e58deda8df226 in.marketscreener.com
- https://www.infosys.com/investors/reports-filings/annual-report/annual/documents/2025-26/boards-report.pdf infosys.com
Show 23 more sources
- https://www.infosys.com/investors/reports-filings/quarterly-results/2026-2027/q1/documents/fact-sheet.pdf infosys.com
- https://www.infosys.com/investors/reports-filings/quarterly-results/2026-2027/q1/documents/ifrs-usd-earnings-release.pdf infosys.com
- https://www.infosys.com/investors/reports-filings/quarterly-results/2026-2027/q1/documents/ifrs-usd-press-release.pdf infosys.com
- Infosys and Anthropic Announce Collaboration to Unlock AI Value across Complex, Regulated Industries infosys.com
- Infosys Integrated Report 2026 infosys.com
- Microsoft Word - Q1 27 Earnings call infosys.com
- Trump Extends $100,000 H-1B Fee; India Faces Biggest Impact internationalnewsandviews.com
- Infosys Share Price Today - Live NSE: INFY Stock Price & Chart kotakneo.com
- Indian IT sector: AI deflation risk, cloud upside FY26 | Market News & Analysis multibagg.ai
- Nifty IT slide in 2026: AI deflation fears deepen | Market News & Analysis multibagg.ai
- Nifty IT Slump 2026: AI Fears, Accenture Shock | Market News & Analysis multibagg.ai
- Trump’s $103,265 H-1B Visa Fee Shock: Why TCS, Infosys and India’s IT Model Face a Litmus Test outlookbusiness.com
- H1B Visa Fee Impact on Indian IT Stocks: Complete Guide 2026 playwithstock.com
- Infosys: AI Revenues at 8.2% in Q1; Resilient Operating Margin of 21.1% prnewswire.com
- Infosys Under Pressure As U.S. Moves To Make $100K H-1B Fee Permanent sahi.com
- Indian IT Stocks 2026: AI Disruption, Price Crash, and Why Midcaps Are the Hidden Opportunity - sharpely Knowledge Hub sharpely.in
- Trump extends $100,000 H-1B visa fee: Will IT companies still hire Indian workers? - The Week theweek.in
- Infosys Share Price Today (10 December 2025): Q2 FY26 Results, ₹18,000-Crore Buyback and Analyst Targets Explained ts2.tech
- Infosys Share Price Target 2026: Analyst Forecast, Bull and Bear Case univest.in
- Infosys Q1 results: FY27 revenue growth guidance narrowed to 1.5%-3.0% in constant currency upstox.com
- US Proposes $103,265 H-1B Fee: Impact on Indian IT Stocks | Whalesbook whalesbook.com
- Indian IT in 2026: What AI Deflation Is Doing | Wright Blogs wrightresearch.in
- Infosys Q1 Results: IT major cuts FY27 revenue growth forecast to 1.5%-3%, keeps 20%-22% margin guidance zeebiz.com
Context retained with this Consensus
The same public-safe market, global-event, and fundamental context supplied to the AI Advisor panel.
Global context snapshot
2025 Full-Year Global Market and World-Events Context
Download Archived SnapshotCoverage 2025-01-01 to 2025-12-31 · Knowledge cutoff 2025-12-31
This full-year context package covers the principal geopolitical, economic, monetary-policy, technology, trade, energy, and institutional developments that shaped global markets during 2025. It gives the forecasting model a chronological account of major world events together with their likely transmission into growth, inflation, interest rates, supply chains, commodities, currencies, public markets, and sector-level investment conditions.
Archived context covering 2025-01-01 to 2025-12-31. Its recorded scope includes technology and capital cycle; trade and industrial policy; monetary policy. Selected highlights reflect the analysis cutoff, not current world conditions.
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- File size
- 90.8K bytes
- Words
- 13.3K words
- Characters
- 90.8K characters
- Est. tokens (characters ÷ 4)
- 22.7K tokens
The package also includes monthly and quarterly macroeconomic and cross-asset reference tables spanning US and international growth, central-bank policy, sovereign yields, major equity indices, foreign exchange, energy, industrial and precious metals, and digital assets. Quarterly and full-year high-impact summaries are integrated; monthly quantitative series remain working values pending final audit, and that qualification is part of the preserved context.
| Selected highlights from this archived snapshot | Date | Status |
|---|---|---|
| DeepSeek shock and AI economics reset | 2025-01-27 | OPEN ENDED TREND |
| US tariff regime escalation and trade-system rupture | 2025-02-01 | ACTIVE POLICY REGIME |
| Federal Reserve easing cycle after a prolonged hold | 2025-09-17 | ACTIVE POLICY REGIME |
Representative Sources of the Context File
And more sources from the retained context package.
2026 Year-to-Date Global Market and World-Events Context Through September 20
Download Archived SnapshotCoverage 2026-01-01 to 2026-09-20 · Knowledge cutoff 2026-09-20
January 1-September 20, 2026: monetary tightening, energy security, trade restrictions, AI financing and divergent growth; five leading market themes.
Archived context covering 2026-01-01 to 2026-09-20. Its recorded scope includes monetary policy and rates; geopolitics energy and shipping; trade and industrial policy. Selected highlights reflect the analysis cutoff, not current world conditions.
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- File size
- 84.8K bytes
- Words
- 12.4K words
- Characters
- 84.8K characters
- Est. tokens (characters ÷ 4)
- 21.2K tokens
Fed raised rates to 3.75%-4.00%; ECB hike is in force and BOJ increase starts September 24. Markets through September 18, bitcoin through September 19.
| Selected highlights from this archived snapshot | Date | Status |
|---|---|---|
| Renewed monetary tightening amid persistent inflation | 2026-01-30 | ACTIVE POLICY REGIME |
| Iran/Hormuz conflict and wider energy-security disruption | 2026-02-28 | ONGOING |
| Tariff legal reset and strategic supply restrictions | 2026-02-20 | ACTIVE POLICY REGIME |
Representative Sources of the Context File
And more sources from the retained context package.
Fundamental Context Passed as Input to the Models
Time range: Annual fiscal periods: 2015-03-31–2026-03-31, 12 periods; Quarterly fiscal periods: 2023-09-30–2026-06-30, 12 periods.
Currencies cited: INR, USD (quote INR; primary reporting USD; converted/valuation USD).
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Income statement
9 fieldsdepreciationAndAmortization · ebit · ebitda · grossProfit · +5 more fields
Balance sheet
12 fieldscash · commonStockSharesOutstanding · longTermDebt · netDebt · +8 more fields
Cash flow
5 fieldscapitalExpenditures · dividendsPaid · freeCashFlow · salePurchaseOfStock · +1 more field
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