Rentomojo IPO data shows bed rentals gaining traction across four major Indian cities
Rentomojo’s March 2026 draft prospectus highlights a surge in bed rentals in Gurgaon, Pune, Mumbai, and Noida, with plans starting at ₹292/month replacing purchases of ₹18,000–₹40,000. The company reports 227,511 live subscribers across 22 cities, supported by 1,688 in-house technicians, positioning itself as India’s largest D2C rental platform by FY25 revenue.

*this image is generated using AI for illustrative purposes only.
Bed rentals are accelerating across Gurgaon, Pune, Mumbai, and Noida in 2026 as households increasingly favor subscription models over ownership for core bedroom furniture. Monthly plans starting at ₹292 on Rentomojo are being weighed directly against purchase prices of ₹18,000 to ₹40,000 for queen or king-sized frames with storage. This shift is driven by relocation economics rather than lifestyle preference, particularly in IT-corridor housing and corporate-relocation neighborhoods where tenancies turn over frequently on project cycles.
The adoption pattern is concentrated in specific high-turnover corridors: Gurgaon’s Cyber City, Golf Course Road, and Sohna Road; Pune’s Hinjewadi, Kharadi, and Baner; Mumbai’s Powai, Andheri, and Thane; and Noida’s Sector 62, Sector 137, and Greater Noida West. Households in these areas furnish bedrooms fully at move-in and close them out cleanly at exit. Bed frames pose significant logistical challenges under ownership due to their weight, the need for dismantling, and difficulties transporting them through service lifts or stairwells without additional labor.
The financial burden of ownership includes dismantling and reassembly charges on every move, risks of damage to hydraulic storage mechanisms and headboard panels, and repair costs for slats and joints. Resale value remains weak, with scarce buyers and collection barriers making it rare to recover a meaningful share of the purchase price. Subscription models remove these steps by including free repairs, annual maintenance, and free relocation within the plan, with the frame collected at the end of the tenure.
| Feature | Ownership Cost | Rental Plan (from) |
|---|---|---|
| Initial Outlay | ₹18,000 – ₹40,000 | ₹292 per month |
| Maintenance | User bears cost | Included (free repairs) |
| Relocation | Dismantling/transport fees | Included (free relocation) |
| End-of-Life | Disposal/resale hassle | Collection by provider |
| Minimum Tenure | None | 3 months |
Rentomojo lists beds from ₹292 a month across single, queen, and king sizes in plain and hydraulic-storage configurations. Mattresses are listed separately in coir, foam, and orthopaedic memory-foam options. Most households use bundling, combining frames, mattresses, wardrobes, and bedside storage into a single monthly rate. Delivery and assembly average 2.54 days, with plans holding a three-month minimum extending to 36 months. Advance payments lower the effective rate by up to 15 percent.
Market Position and Operational Scale
Rentomojo, active since 2014, is identified in its March 2026 draft red herring prospectus as the largest tech-driven full-stack direct-to-consumer rental platform in India by FY25 subscription revenue and live subscribers. Citing the Redseer Report, the prospectus states the company operates across 22 cities with 227,511 live subscribers. Servicing is carried in-house by 1,688 technicians, carpenters, and painters, described as the largest such team among leading platforms. A product discontinued mid-plan can be removed while the remainder of the subscription continues.
What the Numbers Show
The divergence between the upfront capital expenditure of ₹18,000 to ₹40,000 for a bed frame and the operational expenditure of ₹292 per month highlights a structural shift in urban housing economics. For households relocating frequently, the cumulative cost of dismantling, transport, and negligible resale value makes ownership economically inefficient. The inclusion of maintenance and relocation in the rental fee resolves these hidden costs, making the subscription model financially superior for transient populations in key metro corridors.
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