Now Reading: Urban Company Q2 loss widens to Rs 182 crore, revenue up 41%
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Urban Company Q2 loss widens to Rs 182 crore, revenue up 41%
Urban Company Ltd reported a consolidated net loss of Rs 182.48 crore for Q2 FY27, compared with Rs 59.33 crore a year earlier, as it aggressively invested in its InstaHelp service. Revenue from operations rose 41.4 per cent to Rs 537.29 crore, and orders delivered more than doubled to 15.1 million.
The board has approved raising up to Rs 2,500 crore through a qualified institutional placement, subject to shareholder approval. The company said the funds would provide strategic flexibility to invest across its businesses, cement leadership in InstaHelp, and pursue selective acquisitions. It closed the quarter with Rs 1,901 crore in cash and treasury investments.
InstaHelp reported a segment loss of Rs 173.12 crore, widening from Rs 42.91 crore a year ago, though unit economics improved. Excluding InstaHelp, adjusted EBITDA from the core business rose 213 per cent year-on-year to Rs 30 crore. The company reiterated its target of adjusted EBITDA breakeven by Q3 FY28 and Rs 1,000 crore by FY31.
Indian Opinion Analysis
Both sources report the same financials and fundraise plan with neutral reporting, differing only in emphasis. The Hindu Business Line leads with the widening net loss and flags InstaHelp's segment loss upfront, while the Economic Times leads with the revenue growth and highlights the core business's adjusted EBITDA improvement. The Business Line includes the management letter's line that InstaHelp losses will remain elevated for a few more quarters, the Economic Times omits that forecast but provides per-order loss improvement figures. The uniform framing is that the core business is performing well while InstaHelp investment is the deliberate driver of the bottom-line swing. The next concrete marker is the Q3 FY28 breakeven target.
Coverage: 2 sources, 2 neutral
Sources (2): thehindubusinessline.com (neutral report), economictimes.indiatimes.com (neutral report)
This brief was synthesised by AI from the 2 sources linked above, so one read covers every framing they carry. Methodology and corrections.
