Software Indian Community

KPIT Technologies is a rare specialist that builds the software inside modern cars, and the recent slump looks driven more by temporary setbacks than a broken business. The story hinges on whether new product-style offerings, wider use of AI, and expansion into newer markets can restart growth before weaker carmakers and a tough Europe drag results down again.Read more

Ceinsys Tech Ltd (CEINSYS) – DCF Valuation (as of 12 March 2026)Using the two-stage Discounted Cash Flow (FCFF) model, I have calculated the intrinsic fair value based on the latest consolidated financials from Screener.in, company earnings releases, and the Q3 FY26 earnings call transcript (order book ₹999 Cr as of Dec 2025, management hint of FY26 revenue ~₹700 Cr+).Key Inputs (Latest Available): TTM Revenue: ₹632 Cr | FY25: ₹418 Cr 9M FY26 Revenue: ₹490 Cr | PAT: ₹96 Cr Order book: ₹999 Cr (strong 1.5x+ TTM sales visibility) EBITDA margin (recent): 21–23.5% Net debt: ~₹30 Cr (conservative; borrowings ₹75 Cr minus estimated cash) Shares outstanding: 17.85 million (1.785 Cr shares from ₹18 Cr equity capital at ₹10 face value) Beta: ~0.57 (low volatility) My Base-Case Assumptions (Balanced & Realistic): FY26E Revenue: ₹680 Cr (9M run-rate + Q4 momentum) 5-year explicit growth (FY27–FY31): 35% → 30% → 25% → 20% → 15% (tapered; supported by order book, geospatial infra boom at 20%+ national CAGR, and execution track record) EBITDA margin: 22% (FY26–28) → 23–23.5% (improving scale & mix) Depreciation: 2% of revenue Capex: 3.5% of revenue (low; management confirmed no major tech capex planned beyond opex for AI/ML) Δ Working Capital: 12% of incremental revenue (conservative allowance for 221 debtor days; assumes gradual normalisation) Tax rate: 25% WACC: 10.8% (Rf 6.8% + beta 0.57 × 7% ERP; debt weight negligible) Terminal growth: 4% (long-term India GDP/infra sustainable rate) Explicit period: FY26–FY30; Terminal Value at end-FY30 using perpetuity formula on FY31 FCFF Projected Financials & FCFF (₹ Cr): Year Revenue EBITDA Margin FCFF (Free Cash Flow to Firm) FY26E 680 22.0% 88.2 FY27E 918 22.0% 95.4 FY28E 1,193 22.0% 128.1 FY29E 1,492 23.0% 176.8 FY30E 1,790 23.0% 219.3 FY31E 2,059 23.5% 268.9 (for TV calc) Terminal Value (end-FY30): ₹4,112 Cr Enterprise Value: ₹2,962 Cr Equity Value: ₹2,932 Cr (after net debt) Fair Value per Share: ₹1,643 Upside from Current Price (₹1,000–1,037 range): 58–64% (base case).Sensitivity Analysis (Fair Value per Share): Conservative (WACC 11.5%, growth -5% pts, ΔWC 15%, EBITDA 21%): ₹1,250–1,320 Base (as above): ₹1,643 Optimistic (WACC 10.0%, growth +5% pts, ΔWC 8%, EBITDA 24%): ₹1,950–2,100 Alternative (Exit multiple 22x FY30 EBITDA instead of perpetuity): ~₹1,780–1,850 (aligns with some analyst models) Comparison with Other Methods (for cross-check): Current TTM P/E: 15.4x → Forward FY27E P/E ~10–11x (very attractive vs. IT/geospatial peers 20–25x) Historical median intrinsic models: ~₹1,246 Overall DCF range: ₹1,300–1,850 (central tendency ~₹1,550–1,650) Why the Model is Robust: Order book provides high visibility for first 2–3 years.Read more

Veefin is trying to turn a niche finance tool into a wider platform by adding new AI capabilities through its first overseas deal. The big question is whether this move helps it win more bank customers and expand abroad faster, or adds complexity and execution risk.Read more

A small software maker says it expects to land several large, repeat contracts for a newly built product, and the business argues that much of that revenue could fall straight to profit because the software is already made. The big question is whether those deals show up in upcoming reports—and if they do, the company could look very different from what the market assumes today.Read more

Intellect Design Arena is betting that banks and insurers will keep modernizing their core systems, with its codeless platform and new AI products helping it win bigger, longer-running deals and smoother, more predictable sales. The upside hinges on turning heavy spending on new AI platforms into real customer adoption before tougher rivals and rising compliance demands squeeze profits.Read more

RateGain is winning new customers and rolling out new AI features, but tighter privacy rules could make it harder to use data in ways that power its tools. At the same time, shifts in how people book travel and growing pressure from bigger rivals may squeeze pricing and weaken its hold on hotel and travel clients.Read more

BlackBuck is building a one-stop digital platform for India’s truckers, and wider use of toll payments and tracking tools could let it sell more services to the same customers over time. The catch is that some of its growth depends on rules and partners it can’t control, and a few newer business lines still need to prove they can scale without dragging profits.Read more

Zensar’s bet on AI tools and company-wide training could help it win bigger, longer client projects and grow faster than many expect, helped by a strong cash cushion and improving delivery efficiency. But a weaker economy, reliance on a few large customers, rising talent costs, and tougher competition could still derail that momentum.Read more

Cyient is leaning into AI-led engineering work and a deeper talent bench, and some analysts think recent deal wins could mean the company grows faster than the market expects. But growing reliance on a few big industries and customers, plus tougher competition and automation pressure, could quickly change the story.Read more