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Genesys International Corporation Ltd

GENESYS

NSE

₹225.10-5.26%19 Oct 2026

Reports

Geospatial

Genesys International Corporation Ltd

GENESYS

NSE

₹225.10

-5.26%

19 Oct 2026

SOICxStockScans Reports

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Geospatial

Indices

Business Overview: What the company does, in plain English.Growth Catalysts: The forward growth drivers and triggers.Forensic Report: Accounting quality and red flags.Deep Dive Report: In-depth business analysis.

Genesys International is India’s first and largest private-sector digital-map maker, a company that has spent two decades building the country’s most detailed navigable road network and 3D city models - essentially, the operating system for location on the subcontinent. It began in 1995 as a photogrammetry pioneer and later created 3D content for more than 200 global cities for Microsoft’s Bing Maps, before a pivotal 2022 government policy liberalized the geospatial sector while mandating that only Indian-controlled entities can collect high-accuracy data, handing Genesys a protected home market. Its recurring approach is to own the hardest layer - the physical data-collection fleet and the proprietary map stack - and then sell access to that layer through licences, platforms and project contracts to whoever needs to know where things are.

Business segments

Three engines at different stages - a foundational map-content platform, a fast-scaling automotive software stack, and a project-services business that turns the same data into government and infrastructure contracts - all fed by one proprietary sensor fleet.

1. The India Map Stack: the digital floorplan of a nation

A proprietary library of 2D, high-definition and 3D map data covering the entire country, built once and sold many times as a licence, an API or a platform.

Protected by policy - under the National Geospatial Policy 2022, only Indian-controlled entities can collect geospatial data finer than one-metre horizontal accuracy, which means foreign competitors must subscribe to an Indian firm’s data rather than build their own.
Street-level imagery at national scale - the company has driven more than three million kilometres to capture 360° panoramic views covering roughly 1.3 million kilometres of Indian roads, giving automotive OEMs the raw material for immersive, context-rich navigation.
HD maps for the driverless age - launched in late 2025, the high-definition map layer covers more than one lakh kilometres of national highways and expressways at centimetre-grade precision, capturing lane geometry, road markings, barriers and signage that ADAS and autonomous systems need.
Self-updating through AI - an edge-based incremental update system pushes fresh map data over the air, while machine-learning models extract traffic signs from the company’s own street imagery and assess road-surface quality automatically, so the map improves without a human in the loop.

2. Connected mobility: the cockpit software that sits on top of the map

A suite of in-car navigation, ADAS and AI-powered services sold to automakers, turning the map stack into a recurring per-vehicle licence fee.

A full cockpit stack - the offering bundles standard and high-definition maps with conversational AI search, intelligent speed assistance, augmented-reality navigation and a charge-aware EV routing engine, so an automaker gets a single supplier for everything the driver sees on screen.
Won the Tata Motors platform - in October 2025 the company secured a six-year contract to supply native navigation and ADAS maps for Tata Motors’ software-defined vehicle platform, earning a licence fee per automobile sold, which validates the product with India’s largest passenger-vehicle maker.
Global navigation partners as distribution - deals with NNG (embedded in more than 30 million vehicles worldwide) and HERE Technologies plug Genesys’ India data into global navigation systems, so international automakers can offer a locally built map without building one themselves.
Beyond navigation - the connected platform also hosts an in-car marketplace for purchases and a usage-based insurance product that tracks driving behaviour, creating additional revenue streams that sit on top of the core map licence.

3. Geospatial projects and services: turning data into government contracts

A project-based business that wins large domestic and international contracts by applying the same mapping and sensor capabilities to land records, urban planning, airports and utilities.

Land-record modernisation - a ₹56-crore contract from West Bengal’s Directorate of Land Records uses the company’s map stack to create high-resolution orthorectified images and georeferenced cadastral maps, replacing paper records with precision digital ones.
Saudi Arabia as a second geography - cumulative orders from the Kingdom exceed ₹76 crores, including national-coverage map production, indoor mapping of 24 airports, and high-accuracy land-use verification for the NEOM megaproject, giving the company a dollar-linked revenue stream outside India.
Airport infrastructure - a ₹17.38-crore order from Bureau Veritas covers 3D ground-penetrating-radar surveys and building-information models across six Adani Group airports, showing how the sensor fleet monetises beyond traditional mapping.
A new utility vertical - the ‘Telescape’ fibre-planning platform layers Right-of-Way data across nearly 1,500 towns onto the 3D map stack, letting telecom companies plan, audit and manage their optical-fibre networks on a single digital twin.

Constellation of Sensors: the physical moat behind every segment

A fleet of aerial, mobile and terrestrial sensors - the largest of its kind in India - that collects the raw data feeding all three businesses, making the company a manufacturer of its own primary input.

Multi-layered data collection - the fleet spans manned aircraft, drones, mobile LiDAR vans, backpack scanners and trolley-based ground-penetrating radar, so the company can capture everything from a city’s rooftops to its subsurface utilities in a single integrated dataset.
Proprietary processing pipeline - more than 200 in-house tools handle the full chain from raw sensor data through to published software, APIs and SDKs, tuned specifically for Indian conditions rather than adapted from Western workflows.
Patents in the pipeline - two patent applications cover a unique 3D location code for last-mile delivery and an automated feature-extraction system that pulls objects like electric poles and shop names from panoramic imagery and LiDAR, compressing the time needed for physical surveys.

Group structure and partners

A holding company with two overseas subsidiaries - one a technology IP vehicle in Cyprus, the other a Saudi operating arm - and a web of partnerships that distribute its data without the company having to build a global salesforce.

A.N. Virtual World Tech (Cyprus) - 97.76%-owned, this subsidiary develops map databases and location-based applications and holds a perpetual, sublicensable licence to use Genesys content with Google products, effectively acting as an IP and licensing conduit.
Genesys Middle East (Saudi Arabia) - a wholly owned operating subsidiary incorporated in 2023 that delivers geospatial services, 2D and 3D mapping, and LiDAR surveys across the region, with a turnover of ₹19.28 crores in its first partial year.
Merged domestic subsidiary - Virtual World Spatial Technologies, a wholly owned Indian application-software unit, was amalgamated into the parent in 2024, consolidating its location-based platform capabilities.
Strategic distribution alliances - partnerships with Bentley Systems (3D city digital twins), Survey of India (CORS network access), NNG and HERE Technologies (automotive navigation), SatSure (satellite-AI integration) and UNL Global (hyperlocal addressing) put Genesys data into platforms that already serve governments, automakers and logistics companies globally.

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Mkt Cap

Market Capitalization

₹1,510Cr

Close Price

₹225.85

Industry

Geospatial

Price To Earnings

44.55

Price To Sales

4.46

Revenue

₹338Cr

Rev Gr TTM

Revenue Growth TTM

3.73%

PAT Gr TTM

PAT Growth TTM

-46.18%

Consolidated

Standalone

Numbers

Percentage

Quarter	Sep 2023	Dec 2023	Mar 2024	Jun 2024	Sep 2024	Dec 2024	Mar 2025	Jun 2025	Sep 2025	Dec 2025	Mar 2026	Jun 2026
Revenue RevenueCr	33	59	71	56	72	89	94	71	77	76	104	81
Growth YoY Revenue Growth YoY%	-11.2	9.0	52.7	61.4	117.0	50.1	32.3	27.1	6.8	-14.9	10.7	14.8
Expenses ExpensesCr	25	29	35	35	43	47	44	41	47	60	70	53
Operating Profit Operating ProfitCr	8	31	36	20	29	43	50	30	30	16	34	28
OPM OPM%	23.2	51.9	50.9	36.6	40.8	47.8	52.9	41.6	39.0	20.8	32.7	34.6
Other Income Other IncomeCr	1	3	0	1	1	2	0	1	4	6	3	2
Interest Expense Interest ExpenseCr	1	1	1	1	2	3	3	3	3	3	3	3
Depreciation DepreciationCr	11	11	11	12	12	16	15	15	16	17	17	18
PBT PBTCr	-3	21	24	9	16	26	32	12	15	2	17	8
Tax TaxCr	1	5	9	3	5	5	13	5	3	1	4	3
PAT PATCr	-3	16	15	5	11	21	19	7	12	1	13	5
Growth YoY PAT Growth YoY%	-206.5	103.4	635.8	197.1	422.4	31.8	28.5	31.7	8.7	-94.9	-33.0	-24.4
NPM NPM%	-10.4	26.5	20.8	9.5	15.4	23.3	20.2	9.8	15.7	1.4	12.2	6.5
EPS EPS₹	-0.3	2.9	2.6	0.9	1.9	3.6	3.3	1.2	2.0	0.2	2.1	0.9

Quarter	Sep 2023	Dec 2023	Mar 2024	Jun 2024	Sep 2024	Dec 2024	Mar 2025	Jun 2025	Sep 2025	Dec 2025	Mar 2026	Jun 2026
Revenue RevenueCr	33	59	71	56	72	89	94	71	77	76	104	81
Growth YoY Revenue Growth YoY%	-11.2	9.0	52.7	61.4	117.0	50.1	32.3	27.1	6.8	-14.9	10.7	14.8
Expenses ExpensesCr	25	29	35	35	43	47	44	41	47	60	70	53
Operating Profit Operating ProfitCr	8	31	36	20	29	43	50	30	30	16	34	28
OPM OPM%	23.2	51.9	50.9	36.6	40.8	47.8	52.9	41.6	39.0	20.8	32.7	34.6
Other Income Other IncomeCr	1	3	0	1	1	2	0	1	4	6	3	2
Interest Expense Interest ExpenseCr	1	1	1	1	2	3	3	3	3	3	3	3
Depreciation DepreciationCr	11	11	11	12	12	16	15	15	16	17	17	18
PBT PBTCr	-3	21	24	9	16	26	32	12	15	2	17	8
Tax TaxCr	1	5	9	3	5	5	13	5	3	1	4	3
PAT PATCr	-3	16	15	5	11	21	19	7	12	1	13	5
Growth YoY PAT Growth YoY%	-206.5	103.4	635.8	197.1	422.4	31.8	28.5	31.7	8.7	-94.9	-33.0	-24.4
NPM NPM%	-10.4	26.5	20.8	9.5	15.4	23.3	20.2	9.8	15.7	1.4	12.2	6.5
EPS EPS₹	-0.3	2.9	2.6	0.9	1.9	3.6	3.3	1.2	2.0	0.2	2.1	0.9

Consolidated

Standalone

Numbers

Percentage

Financial Year	Mar 2016	Mar 2017	Mar 2018	Mar 2019	Mar 2020	Mar 2021	Mar 2022	Mar 2023	Mar 2024	Mar 2025	Mar 2026	TTM
Revenue RevenueCr	47	64	114	115	112	80	120	181	198	311	328	338
Growth Revenue Growth%	-22.1	37.1	76.7	0.8	-2.6	-28.8	50.4	51.4	9.4	56.9	5.4	3.7
Expenses ExpensesCr	40	48	78	96	99	81	92	123	118	169	218	230
Operating Profit Operating ProfitCr	7	16	36	19	13	-2	27	58	81	142	109	108
OPM OPM%	15.8	24.8	31.6	16.4	11.9	-2.2	23.0	32.2	40.6	45.7	33.4	31.9
Other Income Other IncomeCr	6	3	4	3	4	-30	-42	7	5	4	15	15
Interest Expense Interest ExpenseCr	2	2	2	3	3	4	2	3	4	9	12	12
Depreciation DepreciationCr	7	13	14	19	21	19	19	37	44	55	65	68
PBT PBTCr	5	5	24	0	-7	-54	-36	25	37	83	46	43
Tax TaxCr	0	-2	7	4	-2	-3	4	10	16	27	14	12
PAT PATCr	4	6	17	-4	-5	-52	-40	15	22	56	33	31
Growth PAT Growth%	-5.9	50.0	163.5	-121.9	-36.3	-918.4	23.4	137.6	44.7	159.6	-41.5	-46.2
NPM NPM%	9.2	10.0	15.0	-3.3	-4.5	-65.1	-33.2	8.2	10.9	18.0	10.0	9.2
EPS EPS₹	0.7	3.5	6.1	1.2	0.4	-9.4	2.9	3.7	3.9	9.7	5.4	5.1

Financial Year	Mar 2016	Mar 2017	Mar 2018	Mar 2019	Mar 2020	Mar 2021	Mar 2022	Mar 2023	Mar 2024	Mar 2025	Mar 2026	TTM
Revenue RevenueCr	47	64	114	115	112	80	120	181	198	311	328	338
Growth Revenue Growth%	-22.1	37.1	76.7	0.8	-2.6	-28.8	50.4	51.4	9.4	56.9	5.4	3.7
Expenses ExpensesCr	40	48	78	96	99	81	92	123	118	169	218	230
Operating Profit Operating ProfitCr	7	16	36	19	13	-2	27	58	81	142	109	108
OPM OPM%	15.8	24.8	31.6	16.4	11.9	-2.2	23.0	32.2	40.6	45.7	33.4	31.9
Other Income Other IncomeCr	6	3	4	3	4	-30	-42	7	5	4	15	15
Interest Expense Interest ExpenseCr	2	2	2	3	3	4	2	3	4	9	12	12
Depreciation DepreciationCr	7	13	14	19	21	19	19	37	44	55	65	68
PBT PBTCr	5	5	24	0	-7	-54	-36	25	37	83	46	43
Tax TaxCr	0	-2	7	4	-2	-3	4	10	16	27	14	12
PAT PATCr	4	6	17	-4	-5	-52	-40	15	22	56	33	31
Growth PAT Growth%	-5.9	50.0	163.5	-121.9	-36.3	-918.4	23.4	137.6	44.7	159.6	-41.5	-46.2
NPM NPM%	9.2	10.0	15.0	-3.3	-4.5	-65.1	-33.2	8.2	10.9	18.0	10.0	9.2
EPS EPS₹	0.7	3.5	6.1	1.2	0.4	-9.4	2.9	3.7	3.9	9.7	5.4	5.1

Consolidated

Standalone

Numbers

Percentage

Financial Year	Mar 2016	Mar 2017	Mar 2018	Mar 2019	Mar 2020	Mar 2021	Mar 2022	Mar 2023	Mar 2024	Mar 2025	Mar 2026
Equity Capital Equity CapitalCr	15	15	15	16	16	16	16	19	20	20	21
Reserves ReservesCr	195	151	209	208	197	158	170	368	469	535	683
Current Liabilities Current LiabilitiesCr	46	54	60	61	44	37	73	69	109	189	242
Non Current Liabilities Non Current LiabilitiesCr	6	6	6	6	15	12	10	29	35	32	25
Total Liabilities Total LiabilitiesCr	262	324	385	383	365	304	319	506	635	778	972
Current Assets Current AssetsCr	72	94	128	133	120	75	128	243	331	455	631
Non Current Assets Non Current AssetsCr	190	230	257	250	245	229	191	262	303	323	342
Total Assets Total AssetsCr	262	324	385	383	365	304	319	506	635	778	972

Financial Year	Mar 2016	Mar 2017	Mar 2018	Mar 2019	Mar 2020	Mar 2021	Mar 2022	Mar 2023	Mar 2024	Mar 2025	Mar 2026
Equity Capital Equity CapitalCr	15	15	15	16	16	16	16	19	20	20	21
Reserves ReservesCr	195	151	209	208	197	158	170	368	469	535	683
Current Liabilities Current LiabilitiesCr	46	54	60	61	44	37	73	69	109	189	242
Non Current Liabilities Non Current LiabilitiesCr	6	6	6	6	15	12	10	29	35	32	25
Total Liabilities Total LiabilitiesCr	262	324	385	383	365	304	319	506	635	778	972
Current Assets Current AssetsCr	72	94	128	133	120	75	128	243	331	455	631
Non Current Assets Non Current AssetsCr	190	230	257	250	245	229	191	262	303	323	342
Total Assets Total AssetsCr	262	324	385	383	365	304	319	506	635	778	972

Consolidated

Standalone

Financial Year	Mar 2016	Mar 2017	Mar 2018	Mar 2019	Mar 2020	Mar 2021	Mar 2022	Mar 2023	Mar 2024	Mar 2025	Mar 2026
Operating Cash Flow Operating Cash FlowCr	45	-3	17	-23	31	19	28	-35	19	-53	16
Investing Cash Flow Investing Cash FlowCr	-42	13	-37	-17	-15	-12	-20	-188	-80	-17	-150
Financing Cash Flow Financing Cash FlowCr	-2	4	38	7	-14	-8	12	215	71	50	139
Net Cash Flow Net Cash FlowCr	1	14	17	-34	2	-1	20	-9	11	-19	5
Free Cash Flow Free Cash FlowCr	37	-13	-35	-32	26	11	39	-76	-13	-56	2
CFO To PAT CFO To PAT%	1,036.0	-46.1	98.4	615.3	-606.3	-36.3	-70.8	-235.7	88.2	-94.2	48.2
CFO To EBITDA CFO To EBITDA%	602.8	-18.7	46.6	-122.3	232.3	-1,078.5	102.3	-60.3	23.7	-37.2	14.5

Financial Year	Mar 2016	Mar 2017	Mar 2018	Mar 2019	Mar 2020	Mar 2021	Mar 2022	Mar 2023	Mar 2024	Mar 2025	Mar 2026
Operating Cash Flow Operating Cash FlowCr	45	-3	17	-23	31	19	28	-35	19	-53	16
Investing Cash Flow Investing Cash FlowCr	-42	13	-37	-17	-15	-12	-20	-188	-80	-17	-150
Financing Cash Flow Financing Cash FlowCr	-2	4	38	7	-14	-8	12	215	71	50	139
Net Cash Flow Net Cash FlowCr	1	14	17	-34	2	-1	20	-9	11	-19	5
Free Cash Flow Free Cash FlowCr	37	-13	-35	-32	26	11	39	-76	-13	-56	2
CFO To PAT CFO To PAT%	1,036.0	-46.1	98.4	615.3	-606.3	-36.3	-70.8	-235.7	88.2	-94.2	48.2
CFO To EBITDA CFO To EBITDA%	602.8	-18.7	46.6	-122.3	232.3	-1,078.5	102.3	-60.3	23.7	-37.2	14.5

Consolidated

Standalone

Financial Year	Mar 2016	Mar 2017	Mar 2018	Mar 2019	Mar 2020	Mar 2021	Mar 2022	Mar 2023	Mar 2024	Mar 2025	Mar 2026	Current
Valuation Ratios Valuation Ratios
Market Cap Market CapitalizationCr	157	573	798	308	73	320	1,789	1,242	2,336	2,863	867	1,510
Price To Earnings Price To Earnings	73.4	88.7	47.0	57.2	38.6		133.3	65.1	105.9	50.9	26.6	44.5
Price To Sales Price To Sales	3.3	8.9	7.0	2.7	0.7	4.0	14.9	6.9	11.8	9.2	2.6	4.5
Price To Book Price To Book	0.7	3.4	3.5	1.4	0.3	1.8	9.6	3.2	4.8	5.2	1.2	1.8
EV To EBITDA EV To EBITDA	22.1	35.9	21.6	17.3	6.4	-189.6	65.3	21.6	28.8	20.9	8.6	15.3
Profitability Ratios Profitability Ratios
GPM GPM%	85.4	83.4	86.0	83.8	86.8	75.7	69.7	71.2	71.6	74.2	67.2	67.2
OPM OPM%	15.8	24.8	31.6	16.4	11.9	-2.2	23.0	32.2	40.6	45.7	33.4	31.9
NPM NPM%	9.2	10.0	15.0	-3.3	-4.5	-65.1	-33.2	8.2	10.9	18.0	10.0	9.2
ROCE ROCE%	2.8	3.4	10.6	1.2	-1.7	-27.1	-15.7	6.5	7.5	13.5	6.7	6.7
ROE ROE%	2.0	3.9	7.6	-1.7	-2.4	-29.9	-21.4	3.9	4.4	10.1	4.7	4.7
ROA ROA%	1.6	2.0	4.4	-1.0	-1.4	-17.0	-12.4	3.0	3.4	7.2	3.4	3.4
Operational Ratios Operational Ratios
Solvency Ratios Solvency Ratios
Liquidity Ratios Liquidity Ratios

Financial Year	Mar 2016	Mar 2017	Mar 2018	Mar 2019	Mar 2020	Mar 2021	Mar 2022	Mar 2023	Mar 2024	Mar 2025	Mar 2026	Current
Valuation Ratios Valuation Ratios
Market Cap Market CapitalizationCr	157	573	798	308	73	320	1,789	1,242	2,336	2,863	867	1,510
Price To Earnings Price To Earnings	73.4	88.7	47.0	57.2	38.6		133.3	65.1	105.9	50.9	26.6	44.5
Price To Sales Price To Sales	3.3	8.9	7.0	2.7	0.7	4.0	14.9	6.9	11.8	9.2	2.6	4.5
Price To Book Price To Book	0.7	3.4	3.5	1.4	0.3	1.8	9.6	3.2	4.8	5.2	1.2	1.8
EV To EBITDA EV To EBITDA	22.1	35.9	21.6	17.3	6.4	-189.6	65.3	21.6	28.8	20.9	8.6	15.3
Profitability Ratios Profitability Ratios
GPM GPM%	85.4	83.4	86.0	83.8	86.8	75.7	69.7	71.2	71.6	74.2	67.2	67.2
OPM OPM%	15.8	24.8	31.6	16.4	11.9	-2.2	23.0	32.2	40.6	45.7	33.4	31.9
NPM NPM%	9.2	10.0	15.0	-3.3	-4.5	-65.1	-33.2	8.2	10.9	18.0	10.0	9.2
ROCE ROCE%	2.8	3.4	10.6	1.2	-1.7	-27.1	-15.7	6.5	7.5	13.5	6.7	6.7
ROE ROE%	2.0	3.9	7.6	-1.7	-2.4	-29.9	-21.4	3.9	4.4	10.1	4.7	4.7
ROA ROA%	1.6	2.0	4.4	-1.0	-1.4	-17.0	-12.4	3.0	3.4	7.2	3.4	3.4
Operational Ratios Operational Ratios
Solvency Ratios Solvency Ratios
Liquidity Ratios Liquidity Ratios

	MAPMYINDIA	GENESYS	CEINSYS
Market CapitalizationMkt CapCr	4,814	1,510	1,399
Close PriceClose₹	878.30	225.85	668.00
IndustryIndustry	Geospatial	Geospatial	Geospatial
Price To EarningsPE	34.96	44.55	9.36
Price To SalesPS	9.78	4.46	2.11
RevenueRevenueCr	492	338	662
Revenue Growth TTMRev Gr TTM%	1.8%	3.7%	32.2%
PAT Growth TTMPAT Gr TTM%	-12.4%	-46.2%	60.0%

	MAPMYINDIA	GENESYS	CEINSYS
Market CapitalizationMkt CapCr	4,814	1,510	1,399
Close PriceClose₹	878.30	225.85	668.00
IndustryIndustry	Geospatial	Geospatial	Geospatial
Price To EarningsPE	34.96	44.55	9.36
Price To SalesPS	9.78	4.46	2.11
RevenueRevenueCr	492	338	662
Revenue Growth TTMRev Gr TTM%	1.8%	3.7%	32.2%
PAT Growth TTMPAT Gr TTM%	-12.4%	-46.2%	60.0%

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