HRHNEXT - HRH Next
Financial Performance
Revenue Growth by Segment
The company operates in a single segment (Contact Center Services). Revenue from operations grew 11% YoY, reaching INR 32.24 Cr in H1 FY26 compared to INR 29.04 Cr in H1 FY25. This growth was driven by increased throughput per agent and the stabilization of the IRCTC contract.
Geographic Revenue Split
Not explicitly disclosed in percentage terms, but the company focuses on the Indian market with a strategic emphasis on capturing growth in Tier-2 and Tier-3 cities to leverage cost efficiencies.
Profitability Margins
PAT margin stood at 6.46% in H1 FY26, a decline from 7.09% in H1 FY25. Profit After Tax (PAT) was INR 2.08 Cr, up 1% YoY from INR 2.06 Cr. The margin compression is attributed to high depreciation from tech investments and increased operational expenses for AI development.
EBITDA Margin
EBITDA margin was 18.10% in H1 FY26, down 11% from 20.26% in H1 FY25. Absolute EBITDA decreased by 1% to INR 5.84 Cr. The decline is due to front-loaded expenses for the 'AINA' AI wing, which the company views as a necessary investment for future margin expansion.
Capital Expenditure
The company made significant investments in servers and software for the development of its AI tool, AINA. This resulted in a 40% YoY increase in depreciation costs, which rose to INR 2.03 Cr in H1 FY26 from INR 1.45 Cr in H1 FY25.
Credit Rating & Borrowing
Total borrowings were reduced to INR 9.79 Cr in H1 FY26 from INR 15.99 Cr in H1 FY25, a decrease of 38.7%. Interest costs for H1 FY26 were INR 0.93 Cr, representing a 5% YoY increase.
Operational Drivers
Raw Materials
As a service-based BPO, the primary 'raw materials' are Human Capital (talent) and Technology Infrastructure (Servers and Software). Technology costs are currently elevated due to the development of the AINA platform.
Import Sources
Not disclosed; however, technology infrastructure (servers/software) is sourced to support the Hyderabad-based operations.
Key Suppliers
Not specifically named, but the company procures servers and software for its AINA development wing.
Capacity Expansion
The company is focusing on improving 'throughput per agent,' which saw a 25-30% improvement recently. Physical expansion is targeted at Tier-2 and Tier-3 cities to manage costs.
Raw Material Costs
Total expenses for H1 FY26 were INR 26.42 Cr, up 14% YoY from INR 23.22 Cr. This increase was driven by investments in AI talent and infrastructure.
Manufacturing Efficiency
Operational efficiency is measured by agent throughput, which improved by 25-30%. The company aims to leverage AINA to further automate processes and improve margins by 2-3% conservatively.
Logistics & Distribution
Not applicable as services are delivered digitally/telephonically.
Strategic Growth
Expected Growth Rate
25-30%
Growth Strategy
Growth will be achieved through the monetization of the AINA AI tool starting in H2 FY26, expansion into Tier-2/3 cities, and migration to the Main Board by 2027. The company is also increasing authorized share capital to prepare for potential acquisitions in the AI space.
Products & Services
Contact center services (Inbound/Outbound), vernacular language support, and the AINA AI automation suite for industries like Telecom, Food Tech, Fintech, and Edutech.
Brand Portfolio
HRH Next, AINA (AI tool).
New Products/Services
AINA (AI automation tool) is the primary new product, with revenue generation expected to begin in H2 FY26 and scale significantly by 2027.
Market Expansion
Targeting Tier-2 and Tier-3 cities in India to capture growth while maintaining a lower cost base compared to Tier-1 hubs.
Market Share & Ranking
Self-identified as a leader in the vernacular contact center market in India.
Strategic Alliances
The company maintains a significant association with IRCTC (operational since Feb/March 2025) and Swiggy.
External Factors
Industry Trends
The global BPO market is shifting toward AI and automation. HRH Next is positioning itself by moving away from traditional labor-intensive models toward AI-integrated services to maintain competitiveness.
Competitive Landscape
Faces competition from both small local players and large multinational BPOs, leading to pricing pressures and potential margin erosion.
Competitive Moat
The moat is built on vernacular language leadership and 24/7 service capability. The sustainability of this moat depends on the successful adoption and proprietary nature of the AINA AI tool.
Macro Economic Sensitivity
Sensitive to the growth of the Indian digital economy (Food Tech, Fintech), as these sectors drive the demand for contact center services.
Consumer Behavior
Increasing demand for 24/7 support and localized (vernacular) communication is driving the need for HRH Next's specialized services.
Geopolitical Risks
General economic and geopolitical uncertainty is noted as a threat to the broader BPO market stability.
Regulatory & Governance
Industry Regulations
Compliant with the Companies Act, 2013 and Accounting Standards prescribed under Section 133. Subject to data privacy and telecom regulations relevant to contact centers.
Environmental Compliance
Not disclosed as a significant cost factor for this service-oriented business.
Taxation Policy Impact
The effective tax expense for H1 FY26 was INR 0.79 Cr, a 48% decrease from INR 1.50 Cr in H1 FY25, due to a reduction in inadmissible expenses.
Legal Contingencies
The auditors' report for FY25 provided a true and fair view with no specific mention of material pending litigation values in the provided excerpts.
Risk Analysis
Key Uncertainties
The 40% revenue dependency on Swiggy is the primary uncertainty. Any shift in Swiggy's vendor strategy could impact revenue by up to 40%.
Geographic Concentration Risk
Highly concentrated in India, specifically operating out of Hyderabad with a focus on domestic Tier-2/3 expansion.
Third Party Dependencies
High dependency on key clients like Swiggy (40%) and IRCTC for revenue stability.
Technology Obsolescence Risk
Risk that clients develop their own AI tools, rendering third-party BPO services obsolete; HRH is mitigating this by developing its own AINA AI suite.
Credit & Counterparty Risk
Trade payables stood at INR 7.41 Cr in H1 FY26, up from INR 4.73 Cr in H2 FY25, indicating a shift in working capital management.