Sagility Limited — Q4 FY26 earnings call

Call held 25 Mar 2026

Management summary

Sagility India's Q4 FY26 Investor & Analyst Day highlighted the company's strategic pivot towards AI-led transformation in the US healthcare sector, positioning AI as a force multiplier. The company reported strong growth across its client base, with top clients growing 9.9% and others 28% in the last 12 months, driven by outcome-based managed services and Synchrony solutions. Sagility demonstrated significant client value creation, such as converting a $6 million opportunity into a $20 million deal and reducing $15 million in late claim interest. While acknowledging industry challenges like regulatory complexity and fragmented data, Sagility remains confident in its domain expertise and proprietary technology to drive future growth and maintain strong EBITDA margins of 24-25%.

Highlights

  • Top five clients demonstrated robust growth of 9.9% in the last 12 months (Dec 2025 over 2024), indicating strong client relationships.

  • Growth from other clients was even healthier at 28% over the same period, showcasing broader market penetration.

  • A managed services deal exemplified Sagility's value proposition, transforming a $6 million revenue into a $20 million deal, with a potential to grow to $100 million, representing a 3.5x revenue increase.

  • Sagility's AI-led Nurse Assist solution received the Augmented Intelligence Award, validating its technological innovation.

  • Successfully delivered significant cost avoidance for clients, including a $15 million reduction in late claim payment interest for one client through an AI-led command center.

Concerns

  • The US healthcare industry faces significant membership volatility and margin compression, with payers spending over 90% of premiums on claims.

  • Regulatory complexity, fragmented data, and legacy systems in US healthcare pose inherent constraints and challenges for widespread AI implementation.

  • AI implementation can be costly, especially with large language models, requiring careful selection of models to balance cost, accuracy, and latency, and models can hallucinate or drift.

Key financials

2 periods

Headline

  • EBITDA Margin Range
    24-25 %

LTM

  • Top 5 Clients Revenue Growth
    9.9%
    YoY +9.9%
  • Other Clients Revenue Growth
    28%
    YoY +28%

What they filed

Q1 FY27: revenue up 27.6%, net profit up 45.6% against the same quarter last year.

₹ Cr · quarterly
Line itemQ2 FY25Q3 FY25Q4 FY25Q1 FY26Q2 FY26Q3 FY26Q4 FY26Q1 FY27
Revenue1,325 1,453 1,568 1,539 1,658 +25%1,971 +36%2,024 +29%1,963 +28%
EBITDA301 392 373 346 415 +38%511 +30%485 +30%438 +27%
Net profit117 217 183 149 251 +115%268 +24%258 +41%217 +46%
How to read this

₹ crore, as filed. The percentage beside a figure is the change against the same quarter a year earlier — never the quarter before, which would make every seasonal business look like it collapses and booms each year.

Segment breakdown

  • Payers
    87.5% Revenue Share
  • Providers
    12.5% Revenue Share

Order book

high confidence

Total value

$20 Mn

as of 2026-03-31 quantified

Execution

over five year or less

Pipeline

deal pipeline tcv

overall enterprise pipeline of projects

Sagility is converting smaller opportunities into larger, outcome-based managed services deals, with a significant enterprise pipeline.

Source: Prepared remarks

Capital allocation

high confidence
  • Debt Debt disclosed
    So given that we're very close to deleveraging event in January of 2027, our cash accretion is what it is, how close are we to another M&A event?
  • M&A BroadPath Acquisition · Integrated

    Acquired for member acquisition capability, especially on the Medicare side, expanding Sagility's offerings and enabling end-to-end Synchrony solutions.

    Brought member acquisition capability and enabled end-to-end Synchrony solutions, increasing stickiness.

    One of the things that we acquired as a capability was our member acquisition. Sagility historically was not in that space so we acquired member acquisition especially on the Medicare side.
  • M&A DCI Acquisition · Integrated

    Acquired for end-to-end payment integrity solution, expanding Sagility's offerings in a white space.

    Leveraged for growth in payment integrity and expanded addressable market.

    And then before prior to the BroadPath acquisition, we acquired a company called DCI, which was an end-to-end payment integrity solution.
  • M&A Clinical Domain Targets Acquisition · Announced

    Actively evaluating potential acquisitions in the clinical domain to enhance capabilities and drive growth.

    Expected to be accretive in the long run and expand clinical offerings.

    if we were to do an acquisition, the ones that we are looking at currently are more in the clinical domain.

Guidance & targets

Revenue Growth

  • Overall Revenue Growth Revenue Growth · near term · Medium confidence low double-digits to mid-teens
    But broadly, given all that you heard today, we believe that there is no reason for us not to grow at historical growth rates. So that's the broad guidance I'd give. While there's been a lot of questions around Al and its impact and its disruption and so on. There's nothing internally that we believe will constrain us from continuing to grow at historical rates. The questions around can you accelerate it further and so on are good questions, and obviously, we would also like to grow faster than we are growing today. But at least one thing that I can say, what we see, at least for the near term, I don't want to make a five year projection, is we will continue to grow at historical rates in the, like I said, low double-digits to mid-teens kind of a number.

    — Ramesh Gopalan

Profitability

  • EBITDA Margin Profitability · ongoing · High confidence 24-25%
    our margins have also been consistent in the 24%, 25% EBITDA range.

    — Ramesh Gopalan

Revenue Productivity

  • Revenue per FTE (Geo Level) Revenue Productivity · two years or three years down the road · Medium confidence significant movement upwards
    But if you look at like-to-like, if I look at the revenue per FTE per employee in India today versus what it's likely to be two years or three years down the road, it's likely to show a significant movement upwards.

    — Ramesh Gopalan

What to watch in Q1 FY27

Overall Revenue Growth Guidance for FY27

next quarter (during earnings call)
Current low double-digits to mid-teens (historical rates)
Target Specific guidance for the next financial year

Why it matters

To assess if Sagility provides more precise growth guidance for FY27, confirming its confidence in AI-led expansion and market strategy.

But specific guidances for the next financial, we will give closer to the earnings call.

Risks & concerns

  • Membership volatility and margin compression in US healthcare.

    high

    Payers are spending over 90% of premiums on claims, leaving little for operations and profit, leading to margin compression and some exiting high-utilization markets. Sagility views this as a tailwind for its cost-reduction services.

    Management acknowledged

  • Regulatory complexity and constraints on AI implementation in US healthcare.

    medium

    Laws like HIPAA impose strict guardrails on data access and usage, and clinical decisions often require human involvement, limiting autonomous AI decision-making. Sagility ensures AI solutions are auditable, explainable, and compliant.

    Management acknowledged

  • Fragmented data and legacy systems in US healthcare.

    medium

    Information across the ecosystem (membership, billing, claims) is siloed, with limited data exchange and restricted access, complicating AI integration. Sagility's domain expertise helps navigate these constraints.

    Management acknowledged

  • AI implementation costs and potential for errors/hallucinations.

    low

    Building AI solutions on foundational models can be costly, and AI models can hallucinate or drift, necessitating careful selection of models, robust engineering, and human oversight.

    Management acknowledged

Q&A highlights

6 direct
AI proof business model and real-life examples of AI impact. Partial
I think Roopam who comes after me is going to give you a real-life example. So I don't want to steal his thunder. But the broad response to your question is, we are looking at Al as a force multiplier. We are not looking at Al as a disruptor.

Addresses a core investor concern about AI's disruptive potential and how Sagility views it as an opportunity rather than a threat.

Asked by Atul Mehra

Managed services deal growth from $6M to $20M. Direct
So you probably saw it in Chris' slide, it's actually part of the top seven. It's one of those smaller LOBs of that client, and that's why it's a 25 million opportunity. So the way to think of it is that in a very large plan those LOBs exist where they cannot focus all the time on that and therefore they become the right candidates for managed services kind of outsourcing.

Clarifies how Sagility converts smaller opportunities into larger, outcome-based managed services deals, demonstrating a key growth strategy.

Asked by Shreesti Rastogi

Competitive landscape and larger IT players entering Sagility's specialized healthcare operations space. Direct
I'm just saying is that those vendors are already competitors for us. So it's no different from what's happening today. Yes, if they are pressured, they like to expand in the space we are in. But it's the same thing. They'll have to fight against our strong delivery, our incumbency, our relationships, our transformation that we are already bringing in. So we don't see that as a big threat that something will happen, because they have pressure on the IT services side and they'll come in, because they are already there and we are competing well against them.

Addresses concerns about increased competition from larger IT firms and highlights Sagility's competitive advantages (domain expertise, relationships, outcome-based pricing).

Asked by Namit Arora

Sagility's proprietary element and core business model. Direct
I'm a little disappointed that after five hours, you're asking me that question. Anyway, so I mean, don't mind repeating. If we don't, if you look at me and my colleagues in the five hours, we didn't use the word BPO. Yes, broadly, you want to classify us as a BPO, yes, we are a BPO. But we are not in the business of clients defining the rules and the process documentation and we following the documentation to deliver an outcome. We built this business over 25 years, and today we believe we have the domain expertise to redesign processes to give clients business outcomes through changes that they haven't been able to implement themselves.

Reaffirms Sagility's value proposition beyond traditional BPO, emphasizing domain expertise and outcome-driven transformation as key differentiators.

Asked by Varun Gandhi

Client hesitation to adopt new technology internally and its impact on Sagility's sales cycle. Direct
In healthcare in general, you can probably know this, that adopting newer technologies takes time. And hopefully, one of the things that we also told you is, one, they are slow in general. Two, also it's the nature of the industry. The regulatory complexity, all of the data protection, data privacy, all of those things generally are reasons why clients take more time to make sure that they don't do something that's going to cost them millions and billions of dollars to fix.

Explains the structural and regulatory reasons for longer sales cycles and client caution in healthcare, providing context for Sagility's market approach.

Asked by Chetan Shah

Impact of AI on Sagility's revenue and headcount. Direct
But broadly, directionally, what we can say is, look, as we deploy more and more of this Al and Agentic Al solutions, if you look at our revenue productivity at a geo level, that is likely to significantly improve. Our overall today, headcount and revenue per FTE is also determined by the geographic mix.

Addresses concerns about AI's potential to reduce headcount and revenue, explaining how productivity gains will improve revenue per FTE and overall company growth.

Asked by Participant

Low outsourcing penetration in the healthcare industry. Direct
I mean healthcare has traditionally been the most conservative industry in terms of embracing outsourcing. A lot of that is regulatory driven. But I mean it's also, as always said healthcare and financial services are the most personal industries out there, because they, I mean, you're talking about your health and your finances, the two most personal things to you. Companies are always, they position themselves as the trusted entity in that interaction. So it's just natural that healthcare is more conservative that way.

Provides insight into the structural reasons for low outsourcing adoption in healthcare, which also implies significant untapped market potential for Sagility.

Asked by Pallavi Deshpande

3 min read 6 chapters

Detailed narrative

AI as a Force Multiplier in Healthcare Operations

Sagility positions AI and Agentic AI as a force multiplier, not a disruptor, for its business, aiming to accelerate growth. The company is embedding AI into end-to-end workflows through 'SmarTec agents' to automate complex processes and improve efficiency. This approach is expected to open up additional opportunities, especially given the cost and margin pressures faced by clients. Sagility emphasizes its 25 years of domain depth and understanding of the healthcare ecosystem as key differentiators in deploying AI effectively.

US Healthcare Market Dynamics and Sagility's Positioning

The US healthcare system is experiencing significant changes, including membership volatility and margin compression, with payers spending over 90% of premiums on claims. Sagility sees these challenges as a tailwind, as clients increasingly seek partners to reduce operational costs and improve profitability. The company's deep domain expertise and transformation capabilities allow it to offer low-transition-cost solutions, with top five clients growing 9.9% and other clients growing 28% in the last 12 months (Dec 2025 over 2024).

Managed Services and Outcome-Based Offerings

Sagility is shifting towards outcome-based managed services, leveraging AI to grow faster and gain market share. These deals focus on committed cost savings and speed to value, with zero upfront CapEx for clients. An example cited is a managed services deal that transformed a $6 million revenue opportunity into a $20 million deal, with a potential to reach $100 million, representing a 3.5x revenue growth. Sagility's incumbency and strong delivery track record build trust, enabling it to secure these end-to-end managed service contracts.

Mid-Market Expansion and Synchrony Solutions

Sagility's 'Synchrony' solutions integrate technology platforms with operations to provide end-to-end services, particularly targeting the mid-market (clients with less than a million members). These solutions, like 'Medicare Synchrony,' cover entire lifecycles from enrolment to billing, offering faster value and increased stickiness for clients. The company is bullish on penetrating the mid-market, which often lacks the underlying technology and resources to implement such integrated solutions internally, seeing it as a significant growth driver.

AI-Led Clinical Transformation and MLR Reduction

Sagility is applying AI to clinical practice to address rising medical costs and improve quality of care, focusing on MLR (Medical Loss Ratio) reduction. Solutions like 'Nurse Assist' (an award-winning generative AI tool) streamline prior authorizations and care management. By integrating AI with human expertise, Sagility aims to reduce waste, improve patient outcomes, and lower readmission rates, with programs showing 3x to 5x ROI and 5-15% impact on medical spend. An example showed a $24 million savings in UM operations and a $15 million reduction in late claim payment interest for clients.

Technology Strategy and Partner Ecosystem

Sagility's technology strategy involves building modular 'building blocks' over 10+ years, including predictive AI models, RPA, and generative AI capabilities. The company partners with platform vendors (e.g., AWS, Azure) and system integrators to deliver end-to-end solutions, rather than building enterprise applications itself. This ecosystem approach allows for rapid assembly of solutions, ensuring deployability and maintainability while adhering to client technology guardrails and regulatory compliance (SOC2, HiTrust).

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