| Particulars | QTR FY (₹ in Millions) | Annual FY (₹ in Millions) |
|---|---|---|
| Net sales | 442.06 | 692.89 |
| Expenses | N/A | N/A |
| PBT | 27.27 | 22.28 |
| Operating profit | 0.0 | 0.0 |
| Net profit | 27.28 | 20.77 |
| Founded | 1985 |
|---|---|
| Managing Director | Latesh Poojary |
The current share price of is ₹ as of .
The market capitalisation of is ₹ as of .
The 1-year return of is % as of .
The P/E ratio of is as of .
The 52-week high and low of are ₹ and ₹, respectively, as of .
Avance Technologies delivers digital infrastructure, cloud integration, IoT management, and data centre optimisation. Founded in 1985, it adapts solutions for evolving industries. In 2025, the company prioritised e-commerce consultancy, supporting businesses with scalable, efficient, and cost-conscious digital transformation services.
Avance Technologies caters to healthcare, finance, manufacturing, and hospitality. Its hybrid infrastructure helps enterprises modernise digital systems. Recognised in 2025 reports as a global solutions provider, the firm’s Mumbai base was profiled by Tracxn in 2025, showcasing cross-industry expertise and international delivery capabilities.
Avance Technologies supports outsourcing through skilled IT engineers across platforms. It provides customised talent solutions, connecting businesses worldwide. In 2025, its focus was cost-effective delivery models, ensuring flexibility, scalability, and reliable operations for enterprises seeking efficiency in global outsourcing.
Avance Technologies relies on AI automation, cloud, IoT, encryption, and real-time monitoring. These technologies enable multi-cloud management and secure data environments. 2025 reports highlighted its ability to maintain resilient, uninterrupted IT operations, ensuring reliability in mission-critical enterprise technology environments.
Avance Technologies applies AI for enterprise system transformation and uses cloud to build hybrid IT setups. Its 2025 outsourcing playbook emphasised strategic growth. The approach improves efficiency, reducing deployment times by nearly 40% while supporting innovation at scale.
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