Blinkit Posts ₹102 Cr Adjusted EBITDA Despite ₹308 Cr Inventory Loss

Eternal’s quick-commerce business Blinkit reported ₹102 crore in positive adjusted EBITDA in Q1 FY27, while inventory expiry, damage, transit losses and theft accounted for 1.8% of ₹17,132 crore net order value—about ₹308 crore.

— Source publishedWed, 22 Jul, 2026, 19:10 IST·First seen Wed, 22 Jul, 2026, 19:13 IST·Source Apparel Resources India

What happened

Blinkit, Eternal’s largest business, reported Rs 102 crore adjusted EBITDA profit in Q1 FY27. The quick-commerce platform disclosed inventory-related losses

Key facts

  • Rs 102 crore positive adjusted EBITDA in Q1 FY27
  • 1.8% of net order value lost to expired inventory, damaged goods, in-transit losses and theft
  • Rs 17,132 crore quarterly net order value
  • Approximately Rs 308 crore inventory-related loss

Why this matters

Blinkit’s scale and positive adjusted EBITDA strengthen its strategic value, but any partnership or acquisition case should price in substantial shrink-related costs and mitigation capabilities.

What to watch

  • Inventory-loss rate as a percentage of net order value, especially whether it falls below 1.5% while order volume grows.
  • Adjusted EBITDA margin and whether gains persist after accounting for shrink, new-store costs and customer incentives.
  • Number and maturity mix of dark stores; a rising share of newly opened stores would raise execution risk.
  • Changes in fresh and grocery assortment mix, which may increase perishability exposure.
  • Management commentary on theft, expiry, transit damage, vendor recoveries and cold-chain controls.
  • Competitive discounting or delivery-fee changes from Zepto and Swiggy Instamart that could force reinvestment of margin gains.
  • Deploy store- and SKU-level shrink dashboards, with tighter controls for fresh, dairy, frozen and high-theft categories.
  • Reduce expiry risk through smaller, more frequent replenishment cycles and demand-led assortment rationalization.
  • Shift more inventory risk upstream through vendor terms, sale-or-return arrangements, packaging standards and damage claims.
  • Increase use of dynamic markdowns and near-expiry promotions to recover value before write-offs.
  • Link dark-store manager incentives to availability, waste, damage and theft metrics rather than order throughput alone.
  • Prioritize expansion into clusters where mature-store operating processes can be replicated before adding complex long-tail assortment.