
Fractal Analytics vs KFin vs Pine Labs: Which Stock Should You Track
Fractal Analytics PE 40.74, mkt cap Rs 13,092 crore. KFin Technologies PE 42.56, mkt cap Rs 14,539 crore. Pine Labs PE 156.00, mkt cap Rs 19,815 crore.
Updated: 8 Oct 2026 • 11:19 am
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Quick Answer
Fractal Analytics vs KFin Technologies vs Pine Labs is a side-by-side comparison of three companies from the Technology Platforms and Fintech space. On this comparison, Fractal Analytics carries a market capitalisation of about Rs 13,092 crore against Rs 14,539 crore for KFin Technologies and Rs 19,815 crore for Pine Labs, with return on equity of 9.17%, 20.54% and 1.91% respectively. Each company's numbers are presented here without a declared better pick, since the right stock depends on an investor's own criteria.
Fractal Analytics vs KFin Technologies vs Pine Labs starts with the core numbers most investors compare within the Technology Platforms and Fintech segment: market capitalisation, valuation multiples, profitability and dividend yield. Figures below are sourced as of October 2026 and will shift with daily price moves.
All three names sit in the Technology Platforms and Fintech bucket, which makes them a natural set to place side by side rather than a random trio of unrelated businesses.
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Fractal Analytics, KFin Technologies and Pine Labs: Company Overview
Fractal Analytics is a listed Indian company in the Technology Platforms and Fintech space, tracked here on book value, return ratios and valuation alongside its peers in this comparison.
KFin Technologies is a listed Indian company in the Technology Platforms and Fintech space, tracked here on book value, return ratios and valuation alongside its peers in this comparison.
Pine Labs is a listed Indian company in the Technology Platforms and Fintech space, tracked here on book value, return ratios and valuation alongside its peers in this comparison.
Fractal Analytics vs KFin Technologies vs Pine Labs: Valuation and Profitability Snapshot
| Metric | Fractal Analytics | KFin Technologies | Pine Labs |
|---|---|---|---|
| Market Cap (approx.) | Rs 13,092 crore | Rs 14,539 crore | Rs 19,815 crore |
| PE Ratio (TTM) | 40.74 | 42.56 | 156.00 |
| PB Ratio | 4.11 | 8.69 | 3.36 |
| Return on Equity (ROE) | 9.17% | 20.54% | 1.91% |
| EPS (TTM, Rs) | 18.51 | 19.76 | 1.10 |
| Dividend Yield | 0.00% | 1.42% | 0.00% |
| Debt to Equity | 0.13 | 0.03 | 0.07 |
| Book Value per Share (Rs) | 183.45 | 96.80 | 51.06 |
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On valuation, Fractal Analytics trades at a PE of 40.74 and a PB of 4.11, KFin Technologies at a PE of 42.56 and a PB of 8.69, while Pine Labs trades at a PE of 156.00 and a PB of 3.36. On return on equity, the three post 9.17%, 20.54% and 1.91% respectively, and on dividend yield they stand at 0.00%, 1.42% and 0.00%.
Fractal Analytics vs KFin Technologies vs Pine Labs: Latest Quarterly Results
| Company | Latest Quarter Revenue | Latest Quarter Net Profit | YoY Change (Revenue) | QoQ Change (Revenue) |
|---|---|---|---|---|
| Fractal Analytics | Rs 932.10 crore | Rs 72.30 crore | +20.3% | +2.2% |
| KFin Technologies | Rs 366.90 crore | Rs 75.21 crore | +29.1% | +1.3% |
| Pine Labs | Rs 765.87 crore | Rs 19.57 crore | +17.3% | +3.3% |
Quarterly figures above are the most recent reported quarter for each company (Q1 FY27, quarter ended June 2026), compared with the year-ago and preceding quarter.
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What Should Investors Look at Beyond These Numbers?
Beyond the metrics above, investors comparing these three technology platforms and fintech names should track quarter-on-quarter revenue and margin trends, management commentary on demand and cost drivers, and any sector-specific regulatory developments, since a single-quarter snapshot can shift quickly.
Conclusion
Fractal Analytics vs KFin Technologies vs Pine Labs highlights how differently three companies in the same technology platforms and fintech segment can score across valuation, profitability and dividend metrics, even when operating in a similar space. This comparison does not declare a winner; investors should weigh these figures against their own research and risk appetite. Please read the disclaimer below before making any investment decision.
Disclaimer: Data and figures in this article are sourced from publicly available information as of October 2026 and may not reflect real-time prices. Please verify all data independently before making any investment decision. This comparison does not recommend or endorse any single stock over another; investments in securities are subject to market risk. This content is for educational purposes only and is not investment advice by Univest (SEBI RA INH000013776).
FAQs on Fractal Analytics vs KFin Technologies vs Pine Labs
What is the market cap difference between Fractal Analytics, KFin Technologies and Pine Labs?
Ans. As of October 2026, Fractal Analytics has a market cap of approximately Rs 13,092 crore, KFin Technologies is at approximately Rs 14,539 crore, and Pine Labs is at approximately Rs 19,815 crore.
Which of the three has the highest PE ratio?
Ans. Among Fractal Analytics, KFin Technologies and Pine Labs, the PE ratios stand at 40.74, 42.56 and 156.00 respectively as of October 2026.
Which of the three has the highest ROE?
Ans. Fractal Analytics, KFin Technologies and Pine Labs post ROE of 9.17%, 20.54% and 1.91% respectively as of October 2026.
Which of these three stocks pays the highest dividend yield?
Ans. Fractal Analytics, KFin Technologies and Pine Labs carry dividend yields of 0.00%, 1.42% and 0.00% respectively.
What is the debt to equity ratio for Fractal Analytics, KFin Technologies and Pine Labs?
Ans. Fractal Analytics carries a debt to equity of 0.13, KFin Technologies of 0.03, and Pine Labs of 0.07.
Which of the three trades at the highest price to book value?
Ans. Fractal Analytics, KFin Technologies and Pine Labs trade at price to book ratios of 4.11, 8.69 and 3.36 respectively.
Is one of Fractal Analytics, KFin Technologies or Pine Labs better than the others?
Ans. This comparison does not declare one stock better than another; each company scores differently across valuation, profitability and dividend metrics, and the right fit depends on an individual investor's own criteria and research.
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