InstaHelp’s Q1 orders rise 43%, but adjusted EBITDA loss remains Rs 346 per order

Urban Company’s InstaHelp fulfilled 3.82 million orders in Q1 FY27, lifting NTV 32% sequentially to Rs 52.9 crore. Its adjusted EBITDA loss narrowed per order, but lower average order values and discounting kept the business at a Rs 132 crore quarterly loss.

— Source publishedFri, 31 Jul, 2026, 17:22 IST·First seen Fri, 31 Jul, 2026, 17:24 IST·Source Entrackr · Newsletter

What happened

Urban Company’s InstaHelp expanded Q1 FY27 orders and NTV but posted a Rs 132 crore adjusted EBITDA loss. Loss per order improved to Rs 346 as network density

Key facts

  • Q1 FY27 adjusted EBITDA loss: Rs 132 crore
  • Adjusted EBITDA loss per order: Rs 346, versus Rs 447 in Q4 FY26
  • Fulfilled orders: 3.82 million, up 43% quarter on quarter
  • Revenue: Rs 11.22 crore, versus Rs 9 crore in Q4 FY26
  • NTV: Rs 52.9 crore, up 32% quarter on quarter
  • Average order value: Rs 138, versus Rs 150 in Q4 FY26
  • Revenue per order: about Rs 29.4, versus Rs 33.3
  • June orders: Snabbit 1.51 million; InstaHelp about 1.5 million; Pronto about 0.95 million

Why this matters

The platform’s expanding on-demand order base could be strategically valuable, but any partnership or acquisition case should hinge on whether cross-sell, supply density and shared customer acquisition can reverse its weak revenue-per-order trend.

What to watch

  • Sequential change in revenue per order and whether it stabilizes above the current roughly Rs 29.4 level.
  • Adjusted EBITDA loss per order falling below Rs 300, then below Rs 200, without a material deceleration in order growth.
  • Discounts and incentives as a percentage of NTV, especially whether they decline while repeat usage holds.
  • Order-frequency, 30/90-day retention and share of orders from existing users.
  • Contribution-margin performance by city, category and customer cohort.
  • Cancellation rates, fulfilment times, partner utilization and delivery distance per order.
  • Quarterly absolute EBITDA loss: per-order improvement may still leave total losses high if volume expands faster than unit losses contract.
  • Concentrate discounts in cohorts, neighborhoods and service categories with demonstrably high repeat rates rather than broad-based promotions.
  • Prioritize average-order-value recovery through bundles, minimum order thresholds, add-on services and premium fulfilment windows.
  • Use city and micro-market density targets to reduce partner idle time, travel costs and cancellation rates before expanding aggressively into lower-density geographies.
  • Separate customer-acquisition spending from retention incentives and publish cohort-level repeat, payback and contribution-margin metrics.
  • Expand higher-margin monetization such as service-provider commissions, subscription plans, surge pricing and in-app advertising where customer experience permits.

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