NSEInvestor Presentation5h ago · 22 Jul 2026, 12:03 pm
Investor Presentation
InfoBeans Technologies Limited · INFOBEAN
✦ AI Summary▲ PositiveResults
InfoBeans Technologies Limited has released its Q1 FY27 financial results, showing a 33% YoY growth in revenue to ₹156.8 crores, with EBITDA and PAT increasing by 21% and 28% respectively. The company has maintained its growth momentum, with sustained growth in key clients across markets.
Analysis Scores
Earnings Impact8/10
Growth Catalyst6/10
Governance Concern1/10
Regulatory Risk1/10
Balance Sheet Risk2/10
Liquidity Impact8/10
Market Sentiment8/10
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InfoBeans Techno. Ltd. has informed the Exchange about Investor Presentation
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To, Date: 22nd July, 2026
The Listing and Compliance Department, The Manager,
National Stock Exchange of India Limited Listing Dept.
Exchange Plaza, 5th Floor, BSE Limited
Plot No. C/1, G block, Phiroze Jeejeebhoy Towers,
Bandra Kurla Complex Dalal Street,
Bandra East, Mumbai – 400051 Mumbai‐ 400001
Scrip Code: SM‐ INFOBEAN MH‐IN
SYMBOL: INFOBEAN
Scrip Code: 543644
Subject: Investor Presentation
Dear Sir/Madam,
With reference to above stated subject please find enclosed herewith InfoBeans Technologies Limited
(CIN: L72200MP2011PLC025622) Investor Presentation on Financial Results for the first quarter ended
on 30th June, 2026
This is for your information and records.
Yours Faithfully,
For InfoBeans Technologies Ltd
Surbhi Jain
Company Secretary & Compliance Officer
Investors Call
For the quarter ended on 30th June 2026
About InfoBeans
InfoBeans, founded in 2000 and now 1800+ strong, is a global AI led data
and engineering company.
We strive to deliver exceptional and meaningful value to our clients using
best software technologies while solving their complex business problems.
Europe
Creating WOW! is not just a tagline for us, it’s our religion!
Frankfurt
India
Indore, Pune, Chennai,
Bengaluru
Middle East
Silicon Valley, and
Dubai
New York
Transformation over the years 2026
2nd Buyback
2021 & 3:1 Bonus
2025
2023
2019 Acquired Pune Launched
based Eternus Revenue 399 infobeans.ai
Acquired US Crs
based 1st Buyback Opal Perry joins
2018 Philosophie as Independent
Group, Inc Director
Fortune 500 2024
2007 clients in CMMI level 5
each market
Revenue 4
Crs.
2012
2005
CMMI level 3 2017
Opened in
US IPO on NSE
Onboarded
Mr. Phaneesh Murthy
22001155 as advisor to
2004 the Board
2000
Opened Revenue
Incorporated
INR 43 Crs.
in Indore
Opened Pune
Opened in UAE &
office
Germany
InfoBeans at a glance
50 94% 43% 2 2
Overview
Large enterprise Come back with Revenue comes from Successful Buybacks, in
AI-Augmented acquisitions 2021 and 2025
clients more work
Software Development
Financials ₹ 539 Cr ₹ 138 Cr ₹ 87 Cr ₹ 360 Cr 23%
2025-26 Revenue EBITDA PAT Cash & cash equivalent Revenue CAGR
includes AR of 119 Cr since 2021
Partnerships,
awards, and
Summit
certifications
InfoBeans Global Service offerings
AI-led Engineering and Agentforce NowAssist and AI accelerators for Storage & Virtualization
platform modernization implementations ServiceNow AI Tower for banking, insurance, and
HRSD and CSM global risk designed for AI-optimized storage
Agentic implementations Salesforce brown-field rollouts compliance and enhanced across NAS, SAN, DAS,
in enterprise setups implementation for CX and cloud platforms.
AI-enablement
Registered Partner with
Claude Partner Network
Team
Management Team
Board of Directors
Executive
Avinash Sethi Mitesh Bohra Siddharth Sethi
Co-founder Co-founder Co-founder
Independent
Opal Perry Mayuri Mukherjee Sumer Bahadur Singh
Chief Data & Technology VP Marketing President of Boarding
7 Officer at easyJet at LT Foods Americas School Association
Management Team
Highly Experienced Core Team
Engineering and People
Amit Makhija Denise Cheung Rajagopalan Kannan
SVP, Engineering and Delivery SVP, Digital Transformation SVP, Digital Transformation
- 27 years in Software Dev & - 27 years in Design & ⎻ 26 years in Engineering
Management Innovation Services ⎻ 23 years with InfoBeans
- 19 years with InfoBeans - 4 years with InfoBeans
Kanupriya Manchanda Arpit Jain
VP People VP Design
- 22 years in People & - 20 years in Software
Development Design & Engineering
- 18 years with InfoBeans - 20 years with InfoBeans
Management Team
Highly Experienced Core Team
Sales and Client Success
Ram Lakshmi Geetanjali Punjabi
VP Client Success Americas VP, Sales (UAE)
- 31 years in Software Sales - 24 years in Sales
- 16 years with InfoBeans Operations
- 10 years with InfoBeans
Manish Malpani Tarulata Champawat
VP, Solutions SDO & Logistics VP, Solutions (Insurance)
- 21 years in Project - 26 years in Engineering & Sales
Management - 21 years with InfoBeans
- 16 years with InfoBeans
Clients
Clients
Meet some of our clients
172 year old brand, legal Only Company in the world Full range of integrated Human
content publisher in all offering tech solutions for life Resources solutions
the states of US sciences healthcare compliance
Under NDA Under NDA Under NDA
A Fortune 200, among
A Fortune 500, multinational A Fortune 500, cloud data services
world’s largest logistics
banking financial services and data storage company
companies
institution
Under NDA Under NDA Under NDA
A Fortune 500, German One of the world’s largest A pharmaceutical and technology
multinational technology wireless communications company HQ in Germany, with
conglomerate organizations presence in 66 countries
Our large enterprise clients typically stay partnered with us for over 9 years on average. Each year over 90% of our revenue
comes from existing clients. This demonstrates the quality of our offerings and the trust we build with our clients.
Financial Update
Q1 FY27 Snapshot
(₹ in crores)
Jun 2026 Jun 2025* YoY Change Mar 2026 QoQ Change
Revenue ₹ 156.8 ₹ 117.9 33% ₹ 147.1 7%
EBITDA ₹ 35.4 ₹ 29.2 21% ₹ 33.5 6%
PAT ₹ 21.6 ₹ 17.0 28% ₹ 21.4 1%
In USD terms, revenue grew 20% YoY
* Maintaining comparability, the exceptional Employee Retention Credit of ₹6.3 crores has been excluded
Q1 FY27 Sustained Growth Momentum
Q1 Revenue Q1 PAT Q1 EBITDA
₹157 Cr ₹22 Cr ₹ 35 Cr
+33% vs Q1 FY26 +28% vs Q1 FY26 +21% vs Q1 FY26
Sequential Growth Q1 PAT Margin Q1 EBITDA Margin
₹10 Cr 14% 23%
+6.8% vs Q4 FY26 Same as Q1 FY26 -2% vs Q1 FY26
Financial Highlights
Consolidated Profit & Loss for quarter ended on 30th June, 2026
(in ₹ Crore) Quarter Ended
Revenue
Particulars Jun 2026 Jun 2025* Mar 2026
Growth in key clients across markets.
Revenue from operations 153 112 142
EBITDA
Other income 4 6 5 Investments in building AI and Sales capabilities
has impacted the margins, ongoing optimisation
Total Revenue 157 118 147 efforts.
Less: Total Expenditure (excl
122 88 114 Tax expense
Dep and Interest cost)
Tax expense has increased primarily due to a
EBITDA 35 30 33 one-time catch-up adjustment in deferred tax
expense for the current quarter. This reflects the
EBITDA Margin 23% 25% 22%
reduction in deferred tax assets following the
company's adoption of the new tax regime effective
Less: D&A, Finance cost and
13 14 12 April 1, 2026, which resulted in lower applicable tax
rates.
PAT 22 16 21
* Maintaining comparability, the exceptional
PAT Margin 14% 14% 15% Employee Retention Credit of ₹6.3 crores has been
excluded.
Financial Highlights
Revenue breakup
*Based on client HQ
On the ground
AI updates - accelerators ready for GTM
PAIN POINT AI-POWERED SOLUTION
InsaneSDD
AI speeds up coding, but critical delivery gaps An AI-native, Spec-Driven Development
From requirements to governed remain: unclear specs, weak handoffs, and accelerator converting business intent into
software delivery missing traceability. structured plans and traceable pull requests.
PAIN POINT AI-POWERED SOLUTION
Expona
High-intent users drop off before finding A governed semantic discovery layer
From trusted content to guided capabilities, as the connective tissue between transforming approved content into guided
journeys content and action stays thin. journeys and qualified handoffs.
PAIN POINT AI-POWERED SOLUTION
EWSH Risk teams struggle with slow triage, unclear An AI-assisted risk intelligence hub enabling
risk explanations, and inconsistent escalation automated, near real-time early-warning
Early Warning Signal Hub
of early indicators. monitoring and triage.
AI updates - accelerators ready for GTM
RAI PAIN POINT AI-POWERED SOLUTION
QA effort scales with delivery volume, leaving Multi-agent QA and delivery assurance
Reliability & Assurance
coverage and release confidence inconsistent. accelerator.
Intelligence
PAIN POINT AI-POWERED SOLUTION
Data teams struggle to discover and maintain AI-assisted engine for automated data-quality
Rule Discovery Eng
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