DINESH

Fractal Analytics

Latest CMP 740
Today's Change ▼ -1.72%
52-Week High / Low 1,102 | 739
Price Date: 30-Sep-2026
Recommendation Buy
Target Price 1,121
Expected Upside 23.1%
Forecast Horizon 2 Years
Historical CAGR Not Available
1,000 Invested —
Today's Value —
Investment Period < 5 Years

Stock Snapshot

Post Results Return
-8.4%
Mild Negative Re-rating
1-Year Target Price
920
2-Year Target Price
1,121
52-Week High / Low
1,102 / 739
20-Day Return
-9.4%
Market Cap (Cr.)
12,731
Current PE
53.9
P/BV Ratio
4.0
Dividend Yield
—
Industry PE
33.5

Price Performance

Vista Outlook

Basis of our Recommendation

Fractal Analytics is strategically positioning itself as a leader in AI services, focusing on high-value business transformation and leveraging its flagship platform, Cogentiq. Management's emphasis on a unified go-to-market strategy and deep vertical expertise is expected to drive revenue growth, particularly as the total addressable market for AI-led transformation expands. Despite facing challenges in the TMT vertical and potential margin pressures, the company's strong net revenue retention (117%) and high customer satisfaction (NPS of 78) indicate robust client relationships that can support long-term growth. Vista's financial outlook reflects stable revenue growth and margins, with a fair valuation aligned with intrinsic value. The expected upside of 27% underscores confidence in Fractal's ability to navigate current headwinds while capitalizing on its strategic investments in AI. Over the next 12-24 months, key opportunities include scaling proprietary assets and expanding into new verticals, while watchpoints include the stabilization of the TMT segment and the successful conversion of R&D investments into profitable outcomes

👍 Why We Like This Stock

  • Strong net revenue retention and high customer satisfaction indicate robust client relationships
  • Strategic focus on high-margin, outcome-based contracts is expected to enhance profitability
  • A solid balance sheet with significant cash reserves provides flexibility for strategic investments

⚠ Things To Watch Out For

  • Weakness in the TMT vertical poses a risk to near-term revenue growth
  • High concentration of revenue from top clients increases vulnerability to client-specific spending decisions
  • Intense competition and potential margin compression could impact profitability

Key Parameters

Balance Sheet Strength
Conservatively Financed
Market Share
Stable
Industry Outlook
Improving
Analyst View
Strong Buy
Dividend History
No Dividend History
FII Holdings
Stable

Financial Snapshot

View Technicals Analysis →
Actuals Forecast
FY24 FY25 FY26 FY27 FY28
Revenue (Cr.) 2,196 2,765 3,300 3,878 4,463
Profit Before Tax (Cr.) -41 182 318 347 450
PBT Margin -1.9% 6.6% 9.6% 9.0% 10.1%
Net Profit (Cr.) -74 140 242 266 338
Earnings Per Share -4.3 8.1 14.3 15.1 19.6

Analyst Recommendations

Broker Recommendation Target Price Date
Prabhudas Liladhar ▲ Buy 1,010 01-Sep-2026
Ambit Capital ▼ Sell 710 31-Jul-2026
ICICI Securities ▲ Buy 1,090 27-Jul-2026
Kotak Securities ▲ Buy 1,000 27-Jul-2026
Moneycontrol ► Equalweight nan 27-Jul-2026
Morgan Stanley ► Equalweight 1,036 07-Jul-2026
Choice Equity ▲ Buy 1,250 12-May-2026
Consensus Recommendation ▲ Strong Buy
Consensus Target 1,005
Coverage 7 Analysts
Analysts' Viewpoint
Fractal Analytics is leveraging its AI and behavioral science expertise to drive enterprise AI adoption, with strong client relationships evidenced by a 117% Net Revenue Retention. The company's focus on scaling proprietary platforms like Cogentiq and moving towards outcome-based contracts is expected to enhance margins and productivity. However, the TMT segment's weakness and high client concentration pose risks, alongside execution challenges in transitioning to a platform-led model. Future catalysts include platform scaling, strategic partnerships, and potential M&A for geographic expansion.

Company Overview

Show Company Profile

Fractal Analytics Limited provides artificial intelligence (AI) and analytics solutions to automate business workflows, extract insights from data, and optimize enterprise operations. The company offers agentic products for enterprises, including Cogentiq platform, Cogentiq CX, Cogentiq E-commerce, Cogentiq Innovation, Cogentiq invoice to cash, Cogentiq underwriting for financial services, and Cogentiq underwriting for insurances; Al health assistant; Text to image generator; and Al powered executive coach. It also provides Al for medical imaging, and revenue growth; Al foundational solutions, such as data operations, enterprise migration, software delivery, enterprise outcomes, campaign optimization, data science, custom LLMs, network operations, and process automation; and Al business solutions comprising reconciliation assist, trade ops assist, sales assist, procure assist, consumer insights platform, catalyst for growth, route to market digital sales platform, better business decisions, ai skilling solutions, edtech, and gen-ai-powered recruiting platform. In addition, the company is involved in generative AI, computer vision, machine learning operations, cognitive automation, conversational AI, and quantum computing; and finance analytics; and supply chain, ESG (environmental, social, governance), finance analytics, and integrated marketing effectiveness (IME) activities. The company serves consumer packaged goods, retail, technology media and telecom, healthcare and life sciences, financial services, insurance, industrials manufacturing and energy. The company was incorporated in 2000 and is based in Mumbai, India.