šŸ’° Financial Performance

Revenue Growth by Segment

Total Operating Income (TOI) grew by approximately 57% YoY to INR 311.03 Cr in FY25, driven by the execution of sizeable orders in geospatial services. FY24 revenue was INR 198.93 Cr, an 8% increase from FY23's INR 184.27 Cr.

Geographic Revenue Split

The company is expanding its export orders, specifically targeting Saudi Arabia to boost performance. Domestic revenue is heavily driven by Indian government entities, which are major contributors to the revenue profile.

Profitability Margins

Consolidated cost of sales accounted for 31.95% of revenues in FY25, down from 34.98% in FY24, leading to improved operating profits. Net profit for Q4 FY24 was INR 21.60 Cr on sales of INR 69.73 Cr.

EBITDA Margin

PBILDT margin sustained above 40% in FY25, a significant improvement from the 33.53% recorded in FY23. Operating margin in Q1 FY25 stood at 36.60%.

Capital Expenditure

The company capitalized INR 40.49 Cr of GIS database intangibles in FY25, with INR 153.23 Cr currently under development. Planned capex of INR 30-50 Cr per annum is projected for FY26-FY27, funded largely by a INR 110 Cr QIP.

Credit Rating & Borrowing

CARE BBB; Stable (Long-term) and CARE A3+ (Short-term) reaffirmed as of October 2025. Fund-based working capital limit utilization was high at 87% for the 12 months ending June 30, 2025.

āš™ļø Operational Drivers

Raw Materials

As an ITES company, primary 'raw' inputs are Project Expenses (31.95% of revenue) and Employee Benefit Expenses. Technical personnel and data acquisition are the core cost drivers.

Import Sources

Not disclosed in available documents; however, the company utilizes data centers and sensors which are likely sourced from global technology providers.

Key Suppliers

Not disclosed in available documents; the company relies on data center providers and specialized sensor manufacturers for 2D and 3D data collection.

Capacity Expansion

Expansion is focused on data content rather than physical units; the company is developing a massive GIS database with INR 153.23 Cr currently in the 'under development' phase as of March 31, 2025.

Raw Material Costs

Cost of sales (project-related expenses) decreased from 34.98% to 31.95% of revenue YoY in FY25, indicating better procurement and execution efficiency.

Manufacturing Efficiency

Efficiency is measured by the reduction in cost of sales to 31.95% of revenue and the ability to sustain PBILDT margins above 40% despite increasing scale.

Logistics & Distribution

Not disclosed; distribution is primarily digital via the 'Digital Twin Map Platform' and GIS-embedded services.

šŸ“ˆ Strategic Growth

Expected Growth Rate

57%

Growth Strategy

Growth will be achieved through a INR 110 Cr QIP investment in data centers, tech platforms, and sensor building. The company is also leveraging a sizeable order book of over INR 350 Cr (as of June 2025) and expanding into the automotive segment and Saudi Arabian market.

Products & Services

Photogrammetry, remote sensing, 2D/3D geo-content, location navigation mapping, and the 'Digital Twin Map Platform' (recently awarded for the Varanasi project).

Brand Portfolio

Genesys, Digital Twin Map Platform.

New Products/Services

Digital Twin Map Platform for urban planning (e.g., Varanasi) and specialized 3D mapping for the automotive navigation segment.

Market Expansion

Targeting international expansion in the Middle East (Saudi Arabia) and increasing penetration in the Indian automotive and infrastructure sectors.

Market Share & Ranking

Not disclosed; however, it is noted as an established player in the competitive ITES/GIS industry.

Strategic Alliances

The company works closely with government bodies (e.g., Varanasi municipal projects) and international organizations for geospatial services.

šŸŒ External Factors

Industry Trends

The industry is shifting toward 3D mapping and Digital Twins. Demand for geospatial services is increasing across telecom, logistics, and automotive industries, with the market growing at a steady pace.

Competitive Landscape

Highly competitive ITES industry with large established players; GICL competes on technical expertise and its established database.

Competitive Moat

Moat consists of a proprietary GIS database (INR 153.23 Cr in development) and a long track record that meets stringent government eligibility criteria. This is sustainable due to the high cost and time required to replicate large-scale 3D map data.

Macro Economic Sensitivity

Highly sensitive to government spending on infrastructure and 'Smart City' initiatives, as government entities are the major revenue contributors.

Consumer Behavior

Shift toward high-precision navigation and urban digital modeling is driving demand from both government and automotive clients.

Geopolitical Risks

Expansion into Saudi Arabia introduces regional geopolitical risks, though it currently serves as a growth driver for the order book.

āš–ļø Regulatory & Governance

Industry Regulations

Subject to government tender regulations and data security norms related to geospatial data handling in India.

Environmental Compliance

Low direct environmental risk as a service-oriented tech business; not a significant carbon emitter.

Taxation Policy Impact

Effective tax rate was approximately 29.66% in Q4 FY24 and 23.18% in Q1 FY25.

Legal Contingencies

The company maintains provisions for doubtful debts; however, specific values for pending court cases were not disclosed in the provided documents.

āš ļø Risk Analysis

Key Uncertainties

The primary uncertainty is the working capital cycle; negative cash flow from operations (INR -53 Cr in FY25) due to unbilled revenue (65% of TOI) could impact the ability to fund future projects.

Geographic Concentration Risk

High concentration in India, specifically with government-led projects, though Middle East exposure is increasing.

Third Party Dependencies

High dependency on government clients for 73-94% of revenue, creating significant counterparty risk regarding payment timelines.

Technology Obsolescence Risk

Risk is mitigated by continuous investment in 3D mapping and tech platform updates (INR 110 Cr QIP allocation).

Credit & Counterparty Risk

Receivables are primarily from government bodies; while credit risk is low, the 'stretched' collection cycle (257 days) creates liquidity pressure.