Which IT Product Companies Stocks Are Deep Value Picks in Week of Mar 28, 2026?

Industry Turnaround Status

India's IT sector is emerging from a prolonged two-year demand slump and entering an early recovery phase driven by AI-led transformation spending[1]. Q3 FY26 results mark a significant inflection point, with major IT firms reporting steady revenue growth (5-9% for large caps, 17-22% for mid-caps) despite temporary profit headwinds from new labour code implementations[1][2]. This represents the first confident quarter in nearly three years as clients resume strategic IT projects and accelerate AI infrastructure investments[1].

Sector Cycle Position

The Indian IT sector is transitioning from trough recovery to early mid-cycle. The "uncertainty pause" observed in 2025 has broken as enterprises redirect intact budgets toward AI-driven modernization[1]. Large-cap firms like TCS, Infosys, and Wipro posted annualized AI revenue of $1.8 billion (up 17.3% sequentially) and disclosed large deal TCVs, with 57% being net new business[1][4]. Mid-cap performers (Coforge up 22.6% YoY, Persistent up 17.3% YoY) are outpacing the broader market, indicating sector-wide momentum[2].

Common Catalysts

• •AI-Led Enterprise Spending: Gartner projects 44% growth in AI-related IT expenditures in 2026, with vendors racing for market share and organisations building AI infrastructure at scale[1]
• •Strategic Client Priorities Reset: Global enterprises are reshaping investment priorities around AI as a board-level mandate, driving vendor consolidation and modernization deals[4]
• •Vertical Diversification: Strong demand emerging from BFSI, retail, healthcare, manufacturing, and telecom verticals with sequential growth rates of 3-4.8%[1][2]
• •Pipeline Strength: IT firms report "very strong" deal pipelines driven by vendor consolidation and AI-first positioning[4]

Key Risks

• •Labour Code Cost Inflation: India's top six IT firms absorbed a combined ₹5,400 crore one-time hit in Q3 FY26; ongoing wage cost pressures will remain margin-sensitive[4]. This erodes profitability despite strong revenue growth and may limit near-term earnings expansion
• •Niche Player Underperformance: The two deep value stocks in focus (Zaggle Prepaid, Network People Services) have significantly underperformed the recovery narrative with 1Y returns of -41% and -54% respectively, versus the Nifty's -39% to -52%[query data], suggesting these are lagging in the industry turnaround or face structural challenges beyond sector tailwinds
• •Mid-Market Consolidation Risk: Stronger mid-cap performers and large vendors may consolidate lower-margin or specialist players, compressing valuations in fringe segments[2]

Leaders vs Laggards

Leaders in Recovery:

• •Large-cap leaders: TCS (₹1.8B annualized AI revenue, 5% topline growth), Infosys (8.9% revenue growth, raised FY26 guidance to 3-3.5%), Wipro (5.5% growth, positioning as AI-first)[1][4]
• •Mid-cap outperformers: Coforge (22.6% YoY revenue growth), Persistent (17.3% YoY), LTTS (strategic repositioning, 120 bps margin improvement)

Laggards:

• •Niche/Specialist Players: Zaggle Prepaid (-41.5% 1Y) and Network People Services (-54% 1Y) are significantly underperforming both peers and the broader Nifty recovery, indicating these may be either left behind by the AI transition or facing business model pressures unrelated to sector recovery
• •These stocks trade at depressed valuations (scores 56-59) despite the broader industry inflection, suggesting either deep value opportunity or justified discount due to limited exposure to AI/transformation spend

Verdict

INDUSTRY RECOVERING

The Indian IT sector has convincingly entered recovery mode with Q3 FY26 marking an inflection from demand stagnation to AI-driven growth acceleration[1]. Large caps are posting steady 5-9% revenue growth with expanding deal pipelines; mid-caps are accelerating at 17-22% YoY[2][4]. However, the two deep value stocks analyzed (Zaggle, Network People Services) remain disconnected from this recovery narrative with pronounced underperformance, likely reflecting either structural disadvantages in niche verticals or limited capability to service large AI transformation mandates that are driving sector tailwinds. The recovery is real but concentrated among scale players and AI-capable vendors—smaller specialists face headwinds from consolidation and shifting client priorities toward modernization.