Low
₹0.88
High
₹0.90
| Previous Close | ₹0.88 |
|---|---|
| Day's Range | ₹0.88 - ₹0.90 |
| Open | ₹0.89 |
| 52 Week Range | ₹00.75 - ₹00.94 |
| Volume | 30,87,303 |
| Market Cap | ₹0.00 |
| Previous Close | ₹0.89 |
|---|---|
| Day's Range | ₹0.88 - ₹0.90 |
| Open | ₹0.89 |
| 52 Week Range | ₹00.87 - ₹03.15 |
| Volume | 39,88,859 |
| Market Cap | ₹0.00 |
| Trade Value ( ₹ in Lacs) | 27.17 |
|---|---|
| Market Cap (₹ in Mn) | 0.00 |
| Dividend Yield(%) | 0.00 |
| Price/Earning (TTM) | 12.53 |
| TTM EPS (₹) | 0.07 |
| P/E Ratio | 22.01 |
| Book Value(₹) | 0.44 |
| PAT Margin (%) | 3.09 |
| Face Value (₹) | 1.00 |
| ROCE(%) | 1.81 |
| Trade Value ( ₹ in Lacs) | 35.50 |
|---|---|
| Market Cap (₹ in Mn) | 0.00 |
| Dividend Yield(%) | 0.00 |
| Price/Earning (TTM) | 12.53 |
| TTM EPS (₹) | 0.07 |
| P/E Ratio | 22.01 |
| Book Value(₹) | 0.44 |
| PAT Margin (%) | 3.09 |
| Face Value (₹) | 1.00 |
| ROCE(%) | 1.81 |
| Particulars | QTR FY (₹ in Millions) | Annual FY (₹ in Millions) |
|---|---|---|
| Net sales | 252.08 | 1717.65 |
| Expenses | N/A | N/A |
| PBT | 5.42 | 73.44 |
| Operating profit | 0.0 | 0.0 |
| Net profit | 5.41 | 53.02 |
| Founded | 1985 |
|---|---|
| NSE Symbol | AVANCE |
| Stocks Name | Market Cap (Cr)(₹) | Market Price (₹) | 52 Week Low-High (₹) |
|---|---|---|---|
| Tata Consultancy Services Ltd. | 8,29,464.65 | 2,298.00 | 1,976.80 - 1,976.80 |
| Infosys Ltd. | 4,58,641.56 | 1,120.00 | 982.40 - 982.40 |
| HCL Technologies Ltd. | 3,58,190.22 | 1,304.00 | 1,030.00 - 1,030.00 |
| Wipro Ltd. | 1,78,919.77 | 180.50 | 169.00 - 169.00 |
| Tech Mahindra Ltd. | 1,56,037.29 | 1,583.05 | 1,304.10 - 1,304.10 |
| LTM Ltd. | 1,34,692.78 | 4,474.00 | 3,528.00 - 3,528.00 |
| Billionbrains Garage Ventures Ltd. | 1,25,879.72 | 197.15 | 0.00 - 0.00 |
| Oracle Financial Services Software Ltd. | 1,03,298.44 | 11,690.00 | 6,234.50 - 6,234.50 |
| One97 Communications Ltd. | 1,02,901.86 | 1,631.30 | 930.60 - 930.60 |
| Persistent Systems Ltd. | 89,601.21 | 5,648.50 | 4,244.50 - 4,244.50 |
No Records Found
Pursuant to Regulation 30 read with Para A, Part A of Schedule III of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015 (SEBI Listing Regulations), and in continuation of intimation dated August 18, 2026, Pine Labs has informed that it enclosed Notice of the Twenty-Eighth Annual General Meeting (‘AGM’) of the Company scheduled to be held on Wednesday, September 16, 2026 at 12:00 PM (IST) through Video Conference / Other Audio Visual Means (VC / OAVM), in accordance with the applicable circulars issued by the Ministry of Corporate Affairs (MCA) and the Securities and Exchange Board of India (SEBI). The Company is providing e-voting facility to its members in respect of resolutions to be passed at the AGM. The Company has engaged the services of KFin Technologies (‘KFin’) as the agency to provide remote e-voting facility to the Members. The remote e-voting facility shall be kept open from Saturday, September 12, 2026, at 9:00 AM (IST) to Tuesday, September 15,2026, at 5:00 PM (IST) for members to cast their votes electronically. The cut-off date for voting (including remote e-voting) shall be Wednesday, September 9, 2026. The detailed instructions with respect to voting have been mentioned in the Notice of AGM. The Annual Report for the Financial Year 2025-26 along with the Notice of Twenty-Eighth AGM is being sent to members through email whose email addresses are registered with the Company/its Registrar and Share Transfer Agent (‘RTA’) / Depository Participants (‘DPs’). Further, a letter containing the exact link of the website of the Company for accessing the Annual Report of the Company for FY 2025-26 is also being sent to those Members who have not registered their email addresses, at their address registered in the records of the Company/ KFin/ DP. The said Notice forms part of the Annual Report of the Company for the FY 2025-26 and will also be available on the website of the Company at www.pinelabs.com/investor-relations/ and the Stock Exchanges: BSE and National Stock Exchange of India at www.bseindia.com and www.nseindia.com, respectively.
The above information is a part of company’s filings submitted to BSE.
No Records Found
The current share price of Avance Technologies Ltd. is ₹0.88 as of 2026-08-21.
The market capitalisation of Avance Technologies Ltd. is ₹176.39 as of 2026-08-20.
The 1-year return of Avance Technologies Ltd. is % as of .
The P/E ratio of Avance Technologies Ltd. is 22.01 as of 2026-08-21.
The 52-week high and low of Avance Technologies Ltd. are ₹0.94 and ₹0.75, respectively, as of 2026-08-21.
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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