Unlisted pure-play quick-commerce app - No. 2 by orders - with 1,139 dark stores (Mar 2026)
Strengths
Fastest order growth among scaled players; ~33% of the three leaders' orders in FY26 (its UDRHP)
Orders per store per day rising (2,140 in Q4 FY26) and ad income at 7.8% of order value
Risks
FY26 restated loss of ₹5,905 Cr and negative free cash flow
IPO put on hold in late Jul 2026; a pre-IPO round was reported at ~US$4.5bn, down from US$7bn
Background
SEBI approved its IPO in May 2026; UDRHP-I filed 8 Jun 2026 (₹8,010 Cr fresh issue)
Listing reported for Feb-May 2027 - see the Zepto IPO deck
Compiled from public reporting — not exchange-listed.
Where it fits
Stocks a few thousand fast-moving items in small warehouses (dark stores) within 2-3 km of customers, picks an order in about two minutes and sends a rider. Domestic-owned players (Blinkit, and Instamart from late 2026) increasingly own the inventory and earn a retail margin; the rest run a marketplace for sellers and earn fees. All earn a growing slice from brand ads.
Why it matters
Quick commerce is the fastest-growing part of Indian retail - Bain and Flipkart put it at US$10-11bn of GMV in 2025, about 16-17% of e-retail - and it is where the sector's capital is going. It is also where losses are: Blinkit only turned adjusted-EBITDA positive in 2026, while Instamart, Zepto, Flipkart Minutes and Amazon Now are still spending.
Where the value pool sits
Economics are about density: a mature dark store doing 2,000+ orders a day covers rent, staff and riders; a new one loses money for months. Blinkit's NOV grew ~79% to ~₹20,940 Cr in Q2 FY27 at ~0.9% adjusted EBITDA; Instamart's contribution margin was -1.0% of GOV. Ads (~4-8% of order value) and own inventory are the two levers that lift margins.
Key drivers
New dark stores in tier-2 cities and more SKUs per store (electronics, beauty, pharmacy)
Ad income from FMCG and D2C brands
Shift to owned inventory (Blinkit, Instamart from Q3 FY27)
Cafe and 10-minute food formats on the same network
Potential bottlenecks
Real estate: suitable 3,000-4,000 sq ft sites near homes, and local zoning objections
Rider and picker supply at peak hours
Working capital as inventory moves on to the platforms' books
Distributor opposition (AICPDF complaints to the CCI) and brand channel conflict
Investor metrics to watch
GOV / NOV growth and store count
Orders per store per day
Contribution margin and adjusted EBITDA as % of GOV