Fractal Analytics share price: latest trading update and context
Introduction: Why fractal analytics share price matters
Movements in the fractal analytics share price draw attention from investors tracking India’s enterprise AI sector. As a listed provider of end-to-end AI solutions to large global enterprises, Fractal Analytics’ stock performance is often read as a barometer for investor appetite in tech-led analytics and AI services. Accurate, timely price updates help shareholders and market watchers assess short-term volatility and broader trend implications.
Main developments and market details
Latest quotes and intraday range
Sources report slight variation in live quotes during the most recent trading session. One update shows the fractal analytics share price at ₹759.15, while market feeds from Upstox and CNBC list the last trade at ₹751.50 as of Mar, 2026 | 15:59 IST. Upstox records an intraday high of ₹774.65 and a low of ₹733.70 for the session.
Recent change, circuits and recent close
CNBC notes a decline for the stock, showing a drop of ₹27.00, or about -3.47%, to the quoted level of ₹751.50. Yesterday’s close on the NSE was ₹778.50. Exchange-defined circuit limits for the day stand at an upper circuit of ₹901.80 and a lower circuit of ₹601.20, indicating the permitted trading band should volatility widen.
52-week context and company profile
On a 12-month basis, Upstox reports a 52-week high of ₹921.00 and a 52-week low of ₹733.70, with the low recorded on Mar 02, 2026. CNBC also flagged a new 52-week low in its market notes. Fractal Analytics is described by CNBC as an India-based enterprise AI company operating through two segments—Fractal.ai and Fractal Alpha—providing data-driven insights and end-to-end AI solutions to help global clients in decision-making.
Conclusion: What this means for readers
The current data show short-term weakness in the fractal analytics share price with intraday swings and a recent move toward the 52-week low. For investors, this underscores near-term volatility; watching intraday ranges, circuit bands and company developments will be important. Given the stock’s role as a proxy for enterprise AI demand, any material news on client wins, earnings or guidance could influence direction. Readers should combine these price metrics with company fundamentals and formal disclosures before making investment decisions.
