Latent View Analytics LimitedQ1 FY27 Results & Financial Update
Latent View Analytics Limited: Q1 FY27 consolidated results and company financials – revenue ₹286.88 Cr, PAT ₹47.10 Cr. Explore reported YoY/QoQ movements, margins, business drivers and management commentary. This page does not provide a rating, target price or investment recommendation.
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Quarterly Results AnalysisExplore Latent View Analytics 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
Profit before tax was ₹65.29 Cr for the reported quarter. EPS was ₹2.32 for the reported quarter.
For Q1 FY27, revenue stood at INR 287 crores, reflecting a growth of about 21.6% on a Y-o-Y basis, while showing a marginal sequential decline of about 0.6% in rupee terms. Dollar revenue came in at USD 30.3 million, representing a sequential shrinkage of about 3.5%, which was slightly higher than the anticipated guidance of 1.5% to 2%.
Adjusted EBITDA for the quarter was INR 58.6 crores, representing an adjusted EBITDA margin of 20.4%, impacted by annual wage revisions for approximately 70% of the workforce and seasonally high visa and marketing costs.
Sequential revenue decline was driven by delayed extensions and lack of follow-on work for certain CPG project-led engagements within Decision Point, the full-quarter impact of insourcing in a large tech account, and client-specific volume discounts in the BFSI space.
Profit after tax was ₹47.10 Cr for the reported quarter. EPS was ₹2.32 for the reported quarter.
01 · Financial snapshot
Current-quarter financial snapshot
| Metric | Q1 FY27 |
|---|---|
| Revenue from operations | ₹286.88 Cr |
| Total income | ₹308.17 Cr |
| Profit before tax | ₹65.29 Cr |
| Profit after tax | ₹47.10 Cr |
| EPS | ₹2.32 |
02 · Why it moved
Why the quarter looked the way it did
What drove margins
Conducted wage revisions for approximately 70% of the workforce during Q1, delivering an average wage hike of about 8% across the organization, which created a 2.7% margin headwind.
Primary AI engagements currently involve higher on-site and forward-deployed engineering mix, creating a temporary margin drag, though management expects them to become margin-accretive over the medium term.
03 · Demand, customers & order book
Where demand is coming from
Primary AI work (where clients directly interact with an AI solution) accounted for 35% of Q1 revenue, while total work impacted by AI (including secondary productivity-enhancing AI) reached approximately 80%.
Management expects a strong Q-o-Q growth bounce back of 25% plus in the next quarter within the consumer goods practice, backed by USD 2 million in extension opportunities and a broader pipeline of close to USD 26 million.
Generated 15-plus opportunities from AI prototypes and solutioning, with 14 additional opportunities under pursuit that could yield USD 0.5 million each in current-year revenues; the company is increasingly deploying a forward-deployed engineering model.
04 · Segments, products & geography
Which parts of the business are doing the work
Geography and market mix
Sequential decline in Rest of World revenues was tied directly to the CPG practice softness in Latin America and Europe following the completion of regional one-off projects.
05 · Capacity, projects & execution
What is being built, commissioned or delivered
Capacity, production and utilisation
Accelerating internal learning and development with over 200 employees enrolled in Anthropic certification programs, building upon existing partnerships with Anthropic, OpenAI, Databricks, Snowflake, and major hyperscalers.
Creating a new Chief Technology and AI Officer organization to centralize AI products, agent foundry, alliances, and service delivery excellence into a unified center of excellence.
Building an internal agent foundry platform designed to house reusable agents with governance, observability, and guardrails, which may eventually enable software-agent-based pricing models.
06 · Reported developments
What changed operationally
Despite headwinds in the CPG segment, the TMT practice grew by about 4% sequentially, and the financial services practice demonstrated very strong execution, offsetting softness elsewhere.
Added six new accounts across financial services and auto components during the quarter, including a strategic win in the AI data center infrastructure space to support analytics on energy consumption and cooling metrics.
07 · Pressure points & risks
What is not going smoothly
The CPG practice experienced a sharp dip due to fixed-fee, fixed-scope Decision Point projects not securing immediate follow-on work and delays in extensions, amounting to approximately USD 800,000 to 850,000 of non-recurring project revenue.
Full-quarter impact of client insourcing in a large tech account resulted in an impact of about INR 500,000, alongside a USD 400,000 one-time volume discount granted to a rapidly growing BFSI client.
08 · Management guidance & targets
What management is targeting from here
Retained the full-year revenue growth guidance of 12%, underpinned by confirmed Q2 numbers and expected pipeline conversions, with potential upside if additional pipeline items materialize.
Maintained full-year EBITDA margin guidance in the 21% to 22% range, noting that upcoming investments in the Chief Technology and AI Officer function and partnerships will offset potential currency tailwinds.
09 · Management call deep dive
What management said on the conference call
Operating takeaways
11 key pointsPrimary AI work (where clients directly interact with an AI solution) accounted for 35% of Q1 revenue, while total work impacted by AI (including secondary productivity-enhancing AI) reached approximately 80%.
Sequential decline in Rest of World revenues was tied directly to the CPG practice softness in Latin America and Europe following the completion of regional one-off projects.
Accelerating internal learning and development with over 200 employees enrolled in Anthropic certification programs, building upon existing partnerships with Anthropic, OpenAI, Databricks, Snowflake, and major hyperscalers.
Management expects a strong Q-o-Q growth bounce back of 25% plus in the next quarter within the consumer goods practice, backed by USD 2 million in extension opportunities and a broader pipeline of close to USD 26 million.
Generated 15-plus opportunities from AI prototypes and solutioning, with 14 additional opportunities under pursuit that could yield USD 0.5 million each in current-year revenues; the company is increasingly deploying a forward-deployed engineering model.
Creating a new Chief Technology and AI Officer organization to centralize AI products, agent foundry, alliances, and service delivery excellence into a unified center of excellence.
Building an internal agent foundry platform designed to house reusable agents with governance, observability, and guardrails, which may eventually enable software-agent-based pricing models.
Conducted wage revisions for approximately 70% of the workforce during Q1, delivering an average wage hike of about 8% across the organization, which created a 2.7% margin headwind.
Primary AI engagements currently involve higher on-site and forward-deployed engineering mix, creating a temporary margin drag, though management expects them to become margin-accretive over the medium term.
Retained the full-year revenue growth guidance of 12%, underpinned by confirmed Q2 numbers and expected pipeline conversions, with potential upside if additional pipeline items materialize.
Maintained full-year EBITDA margin guidance in the 21% to 22% range, noting that upcoming investments in the Chief Technology and AI Officer function and partnerships will offset potential currency tailwinds.
Important analyst Q&A
3 key pointsManagement clarified that the 12% full-year guidance is supported by confirmed numbers for Q1 and Q2 alongside visible pipeline extensions, with further upside possible if larger prospective deals close.
Management noted that tokenization costs are currently incurred and monitored directly by clients within their own tech stacks in 95% of use cases, shielding service providers from direct token cost exposure.
Project-led work accounts for 15% to 18% of the portfolio, managed services comprise 65% to 70%, and pure T&M/augmentation work makes up the remainder.
10 · Key Q&A
The quarter, answered directly
What is the clearest takeaway from Q1 FY27?
Profit before tax was ₹65.29 Cr for the reported quarter. EPS was ₹2.32 for the reported quarter.
What drove revenue or demand?
Primary AI work (where clients directly interact with an AI solution) accounted for 35% of Q1 revenue, while total work impacted by AI (including secondary productivity-enhancing AI) reached approximately 80%.
What mattered most for margins or profitability?
Conducted wage revisions for approximately 70% of the workforce during Q1, delivering an average wage hike of about 8% across the organization, which created a 2.7% margin headwind.
What changed operationally beyond the headline numbers?
Accelerating internal learning and development with over 200 employees enrolled in Anthropic certification programs, building upon existing partnerships with Anthropic, OpenAI, Databricks, Snowflake, and major hyperscalers.
What is management guiding or targeting from here?
Retained the full-year revenue growth guidance of 12%, underpinned by confirmed Q2 numbers and expected pipeline conversions, with potential upside if additional pipeline items materialize.
What are the main pressure points disclosed for the quarter?
The CPG practice experienced a sharp dip due to fixed-fee, fixed-scope Decision Point projects not securing immediate follow-on work and delays in extensions, amounting to approximately USD 800,000 to 850,000 of non-recurring project revenue.
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Earnings sensitivity: what if growth and margins change?
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