InfoBeans Technologies LimitedQ1 FY27 Results & Financial Update
InfoBeans Technologies Limited: Q1 FY27 consolidated results and company financials – revenue ₹152.77 Cr, PAT ₹21.62 Cr. Explore reported YoY/QoQ movements, margins, business drivers and management commentary. This page does not provide a rating, target price or investment recommendation.
Quarter at a glanceCurrent reported figures.Change figures appear when a comparable reported period is available.
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Quarterly Results AnalysisExplore InfoBeans Technologies Q1 FY27 quarterly results and earnings: revenue, profit (PAT), EBITDA, margins, YoY and QoQ growth, order book or business updates where reported, financial performance and management commentary. Reported figures and Nivata calculations are shown separately; no buy, sell or hold recommendation is provided.
Quarter overview
Quarterly earnings analysis
InfoBeans Technologies delivered consolidated revenue from operations of ₹152.77 crore for the quarter ended June 30, 2026, accompanied by total income of ₹156.77 crore including other income of ₹4.00 crore. Total quarterly expenditure excluding depreciation, amortization, and finance costs stood at ₹122.00 crore.
Reported profit after tax (PAT) reached ₹21.62 crore for Q1 FY27, resulting in basic earnings per share of ₹2.23. The company recorded profit before tax (PBT) of ₹29.29 crore after accounting for finance costs of ₹0.26 crore and depreciation of ₹5.88 crore.
According to the company's investor presentation, normalized revenue grew by 33% year-on-year and 7% sequentially (with constant-currency USD revenue expanding 20% year-on-year), while quarterly EBITDA reached ₹35.40 crore, reflecting a 21% year-on-year increase after excluding an exceptional Employee Retention Credit of ₹6.30 crore from the comparative prior-year period.
Tax expenses for the quarter rose primarily due to a one-time catch-up adjustment in deferred tax expense resulting from the company's adoption of India's new tax regime effective April 1, 2026, which lowers applicable tax rates and reduces existing deferred tax assets.
Operating margins experienced temporary downward pressure from ongoing investments in artificial intelligence capabilities and specialized sales force expansions, though management noted that active cost optimization efforts continue across delivery operations.
Geographically, client demand remained anchored in North America, representing 50% of revenue based on client headquarters, followed by Europe at 38%, the UAE at 7%, and India at 5%.
Profit after tax was ₹21.62 Cr for the reported quarter. EPS was ₹2.23 for the reported quarter.
01 · Business model
What does InfoBeans Technologies do?
InfoBeans Technologies Limited is a global, AI-led data and software engineering enterprise founded in 2000, operating with a workforce exceeding 1,800 professionals. The company specializes in digital transformation, platform modernization, agentic implementations, and specialized enterprise software solutions.
The company serves a prominent clientele consisting of roughly 50 large enterprise customers, including Fortune 500 organizations across diverse verticals such as banking, financial services, insurance (BFSI), logistics, life sciences, healthcare, and technology. Over 90% of annual revenue is repeat business derived from existing clients who maintain an average relationship duration exceeding nine years.
InfoBeans delivers its offerings through specialized global delivery centers in India (Indore, Pune, Chennai, Bengaluru) alongside operational presence in the United States (Silicon Valley, New York), Europe (Frankfurt), and the Middle East (Dubai).
02 · Historical context
What shaped the business before this quarter
Achieved CMMI Level 3 certification in 2012, opened its Pune office in 2015, completed its NSE initial public offering in 2017, and acquired US-based Philosophie Group in 2019.
03 · Financial snapshot
Current-quarter financial snapshot
| Metric | Q1 FY27 |
|---|---|
| Revenue from operations | ₹152.77 Cr |
| Total income | ₹156.77 Cr |
| Profit before tax | ₹29.29 Cr |
| Profit after tax | ₹21.62 Cr |
| EPS | ₹2.23 |
Financial interpretation
What the reported numbers mean
Profit after tax represented 14.2% of reported quarterly operating revenue. This is a calculated net-profit-to-sales ratio, not a company-reported operating margin. It measures the outcome after expenses and tax; it does not, by itself, establish how margins changed versus another period.
Profit before tax was equivalent to 19.2% of quarterly operating revenue. The distinction between pre-tax and post-tax profit matters when interpreting earnings; neither ratio identifies an underlying cost driver without a properly matched comparative period.
Total income exceeded operating revenue by ₹4.00 crore. This is the disclosed difference between the two lines, not incremental sales. The distinction matters when assessing how much of the quarter’s reported income came from the operating top line.
Ratios above are calculated from the reported quarterly figures. They are analytical descriptions, not company-reported margin guidance or an investment recommendation.
04 · Why it moved
Why the quarter looked the way it did
What drove revenue
Top-line growth was propelled by expanded engagements with key enterprise clients across primary international markets.
Over 90% of annual revenue continued to recur from existing long-standing enterprise customers, supported by an average client tenure exceeding nine years.
Software development services enhanced by AI capabilities accounted for approximately 43% of overall enterprise revenue.
What drove margins
EBITDA margins moderated to 23% from 25% in the comparative year-ago period due to upfront strategic outlays in building AI infrastructure and expanding global sales capabilities.
05 · Demand, customers & order book
Where demand is coming from
The company serves approximately 50 large enterprise clients, maintaining an average partnership duration of over nine years.
06 · Strategy & new businesses
How the company is trying to change its growth mix
Prepared go-to-market accelerators including InsaneSDD (spec-driven development), Expona (semantic discovery), EWSH (early warning signal hub), RAI (reliability and assurance intelligence), and RDE (rule discovery engine).
Scaled training as a registered partner in the Claude Partner Network with the target of achieving over 100 certified Claude engineers by the end of calendar year 2026.
Achieved ISO 42001:2023 certification for Artificial Intelligence Management Systems (AIMS), covering internal AI tools and third-party solutions.
07 · Reported developments
What changed operationally
Reported 33% year-on-year revenue growth and 28% PAT growth on a comparable basis, supported by broad demand across key accounts.
Participated in ServiceNow Knowledge 26 and hosted the Agentforce World Tour Mumbai 2026, deepening ecosystem positioning.
08 · Items worth noticing
The line items that can distort a quick read
Comparative year-ago figures exclude an exceptional Employee Retention Credit of ₹6.30 crore to maintain financial comparability.
Current-quarter tax expense reflects a one-time catch-up adjustment arising from the transition to India's new tax regime.
09 · Beyond the numbers
What changed beyond the numbers
Reported update
ESG and CSR Recognition
Received the Madhya Pradesh Leadership Award 2026 for Best CSR Practices and established a second foundation campus via an MoU with JSPM, Pune.
10 · Previous-quarter changes
What changed since the previous quarter
Revenue expanded by 7% sequentially compared to Q4 FY26, moving from ₹147.10 crore to ₹156.80 crore (total revenue).
11 · Key Q&A
The quarter, answered directly
What does InfoBeans Technologies do?
InfoBeans Technologies Limited is a global, AI-led data and software engineering enterprise founded in 2000, operating with a workforce exceeding 1,800 professionals. The company specializes in digital transformation, platform modernization, agentic implementations, and specialized enterprise software solutions.
What is the clearest takeaway from Q1 FY27?
InfoBeans Technologies delivered consolidated revenue from operations of ₹152.77 crore for the quarter ended June 30, 2026, accompanied by total income of ₹156.77 crore including other income of ₹4.00 crore. Total quarterly expenditure excluding depreciation, amortization, and finance costs stood at ₹122.00 crore.
What drove revenue or demand?
Top-line growth was propelled by expanded engagements with key enterprise clients across primary international markets.
What mattered most for margins or profitability?
EBITDA margins moderated to 23% from 25% in the comparative year-ago period due to upfront strategic outlays in building AI infrastructure and expanding global sales capabilities.
What changed operationally beyond the headline numbers?
Prepared go-to-market accelerators including InsaneSDD (spec-driven development), Expona (semantic discovery), EWSH (early warning signal hub), RAI (reliability and assurance intelligence), and RDE (rule discovery engine).
What should the next disclosure help confirm?
Monitor progress toward scaling the engineering team to over 100 certified Claude engineers by the end of 2026.
12 · Scenario calculator
Earnings sensitivity: what if growth and margins change?
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13 · Next filing checkpoints
What the next disclosure can confirm or change
- 01
Claude Engineer Certification Target: Monitor progress toward scaling the engineering team to over 100 certified Claude engineers by the end of 2026.
- 02
AI Accelerator Commercialization: Track revenue adoption and client deployments of newly launched GTM accelerators such as InsaneSDD, Expona, and EWSH.
Learn the metrics
Need the concepts first?
Use Nivata’s plain-English guides to understand the accounting terms used in this brief before interpreting them.