Market News

7 min read | Updated on November 30, 2025, 17:12 IST
SUMMARY
Meesho IPO opens for subscription on December 3 with a price band of ₹105 to ₹111 per share and a lot size of 135 shares. Meesho IPO's high grey market premium signals strong demand for the IPO. Check Meesho IPO financials and objectives ahead of IPO launch

The number of orders placed on the Meesho platform grew from 102.4 crore to 183.4 crore between FY23 and FY25.
Meesho IPO aims to raise ₹5,421.20 crore through its public issue, which is a 100% book-built and includes a fresh issue worth ₹4,250 crore and offer-for-sale of ₹1,171.2 crore.
The company has fixed the price band of the issue at ₹105 to ₹111 per share. The lot size, or the minimum bid quantity to apply for the issue is 135 shares. This equates to a minimum investment amount of ₹14,985 per lot at the upper end of the price band for retail investors.
Meesho IPO will remain open for bidding from December 3 to December 5, 2025. After the bidding is closed, the allotment of shares is expected to be finalised on December 8.
Successful bidders can expect the shares to be credited to their demat accounts by December 9, with others receiving refunds on the same day. Meesho shares are scheduled to list on the BSE and NSE on December 10, 2025.
| (in crore) | FY23 | FY24 | FY25 |
|---|---|---|---|
| Revenue | ₹5,734.5 | ₹7,615.1 | ₹9,389.9 |
| Total Assets | ₹3,853.3 | ₹4,160.9 | ₹7,226.1 |
| Net Loss | (₹1,671.9) | (₹327.6) | (₹3,941.7) |
| EBITDA | (₹1,640.5) | (₹263.1) | (₹1,413.9) |
The grey market premium (GMP) for the IPO is currently in the range of 31-32%. Strong early demand in the unofficial grey market shows the company’s IPO is likely to see huge interest once the IPO launches on December 3.
Meesho has emerged as India’s largest e-commerce platform in terms of annual transacting users and number of orders placed in the twelve months ended September 30, 2025.
The platform enables consumers to access a wide range of products at low prices, while the sellers on the platform benefit from low costs. This is reflected in the average order value (AOV), which has reduced from ₹336.71 in FY23 to ₹274.27 in FY25. Meanwhile, the number of orders placed rose from 102.4 crore to 183.4 crore during the same period.
Between FY23 and FY25, the annual transacting users on Meesho grew at a CAGR of 20.7% from 13.6 crore to 19.8 crore. Meesho platform has demonstrated high levels of engagement, with 13.53 billion average daily product views in FY25. Content commerce contributed ₹12.08 billion in Marketplace Net Merchandise Value (NMV) in the last twelve months ended on September 30, just 23 months after its launch.
During the six months ended September 30, 2025, Meesho had 153.72 million daily active product listings, against 109.65 million in the prior period. Additionally, 73.18% of orders as of September 2025 came from personalised feeds and recommendations driven by its discovery-led model, which encourages high engagement.
The company’s seller base has grown significantly from 513,757 annual transacting sellers in FY25 to 706,471 in the LTM that concluded on September 30, 2025. The widespread participation of small manufacturers and local traders was made possible by the company’s zero commission model, inexpensive fulfilment, and GST-optional onboarding.
The company operates one of India’s largest asset-light fulfilment networks, handling 29–31% of national e-commerce shipments (ex-hyperlocal) in FY25. From 1.83% of shipped orders in FY23 to 48.08% in FY25 and 64.52% in the six months ending September 30, 2025, its in-house logistics arm, Valmo, has experienced significant growth. Meesho supported 18,098 active logistics providers, five end-to-end partners, and 102,349 delivery agents.
A key component of Meesho's business strategy is technology and artificial intelligence. As of September 2025, the platform processed 5.92 billion data points daily and 4.24 billion data points in FY25. It also allows search in 11 languages. Its ML engine, BharatMLStack, processed 1.91–2.85 PB of data every day, enabling up to 217.17 trillion feature retrievals and 6.40 trillion real-time inferences.
About The Author

Next Story