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  4. Okta, Inc. (OKTA) Q1 2027 Earnings Call Transcript

Okta, Inc. (OKTA) Q1 2027 Earnings Call Transcript

OKTA logo
OKTA
Okta Inc
148.47 USD
-0.09%

Access earnings results, analyst expectations, report, slides, earnings call, and transcript.

Overview

The earnings call summary indicates a positive outlook with a strong AI pipeline, strategic partnerships, and improved sales productivity. Okta's focus on AI adoption and its strategic positioning suggest potential growth. However, the lack of specific timelines and quantitative details introduces some uncertainty. Overall, the positive elements outweigh the uncertainties, suggesting a positive sentiment.

Key Financial Performance

New Product Portfolio Contribution New product portfolio represented approximately 25% of Q1 bookings, a meaningful increase from Q1 last year. This was driven by the inclusion of new products in deals, which resulted in a 40% ACV uplift.

Cash Flow and Balance Sheet Ended Q1 with approximately $2.6 billion in cash, cash equivalents, and short-term investments. Convertible notes of $350 million will be settled in cash next month. Repurchased and retired over 3 million shares for $241 million. $680 million remains under the $1 billion repurchase program.

Partner-Sourced Bookings Partner-sourced bookings experienced a meaningful increase, including multiple million-dollar-plus deals in Q1. This reflects the success of investments in partner initiatives.

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Operating Highlights

Okta for AI agents: Became generally available last month, providing enterprises with a single control plane to discover, govern, and manage AI agents across their organization. It addresses agent security problems and offers centralized visibility and governance capabilities.

Auth0 for AI agents: Provides identity foundation for developers building AI agents, securing agents, APIs, and users for B2B, B2C, and internal apps. It is backed by enterprise-grade authentication.

Partnerships with AI leaders: Okta has partnered with ServiceNow, Google, Amazon, OpenAI, and Anthropic to integrate identity governance and access control into their AI platforms, enhancing its market positioning in the AI ecosystem.

Sales team specialization: The go-to-market team has been specialized into Okta sellers and Auth0 sellers, leading to increased sales productivity, strong pipeline build, and low AE attrition.

Partner-sourced bookings: Experienced a meaningful increase, including multiple million-dollar-plus deals in Q1.

Shift in professional services business: Strategic decision to shift more professional services to global systems integrators, resulting in lower professional services revenue but aligning with long-term growth strategy.

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Risk or Challenges

AI Agent Security: The rapid growth of AI agents in enterprises increases the attack surface, as each agent comes with credentials and privileges. This raises the need for robust identity governance to prevent unauthorized access and rogue agents.

Market Neutrality: The fast-evolving AI landscape requires Okta to maintain neutrality to avoid vendor lock-in. Failure to do so could limit customer adoption and partnerships.

Revenue Impact from Strategic Shift: The decision to shift more professional services to partners is expected to reduce professional services revenue starting in Q2 FY '27.

Interest Income Reduction: Lower interest income is anticipated due to the stock repurchase program and the intent to settle convertible notes in cash, impacting free cash flow margin guidance.

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Guidance & Outlook

Q2 FY '27 Revenue Growth: Expected total revenue growth of 9%.

Q2 FY '27 Current RPO Growth: Expected current RPO growth of 11%.

Q2 FY '27 Non-GAAP Operating Margin: Expected non-GAAP operating margin of 26%.

Q2 FY '27 Free Cash Flow Margin: Expected free cash flow margin of 20% to 21%.

FY '27 Revenue Growth: Expected total revenue growth of 9% to 10%, including a 1-point impact from shifting professional services to partners.

FY '27 Non-GAAP Operating Margin: Expected non-GAAP operating margin of 25% to 26%.

FY '27 Free Cash Flow Margin: Expected free cash flow margin of 27% to 28%, including a 1-point impact from lower interest income due to stock repurchase and debt settlement.

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Shareholder Return Plan

Share Repurchase Program: Over the course of Q1, we repurchased and retired just over 3 million shares for a total cost of $241 million. $680 million remains under the $1 billion repurchase program that we launched in January as we look to take advantage of what we believe to be an undervalued share price.

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Key Q&A

Q:Can you talk about how AI is materializing in the market? Are customers securing agents or just discussing it?
A:Todd McKinnon explained that while many customers are deploying agents in some form, they are still in the early stages of implementing governed and managed adoption programs. He provided an example of a company using agents in a haphazard, nonsecure way and emphasized that customers are now focusing on creating secure connections and monitoring systems. He noted that AI products are not yet materially contributing to the business but have generated significant interest and pipeline.
Q:When do you think AI adoption will start happening in mass?
A:Todd McKinnon stated that AI conversations are already raising Okta's strategic importance among customers, contributing to revenue growth and net retention. He emphasized that while AI adoption is still early, the interest and strategic positioning of Okta will drive continued growth over the next several quarters and years.
Q:How is the current macro and spending environment affecting demand and access to IT budgets?
A:Todd McKinnon noted that while there is interest in new intelligence models, customers are not panicking or changing priorities. Instead, they are reinforcing fundamentals like zero-trust environments, solid identity, and patching processes. He stated that this focus on fundamentals is benefiting the identity security market, though agentic identity is still in its early stages.
Q:Can you provide details on Okta's role in runtime authorization and policy enforcement for AI agents?
A:Todd McKinnon explained that Okta connects resources and provides a directory of agents, policy layers, and authorization controls. He highlighted Okta's ability to detect agents, control their connections, and manage their actions without requiring customers to rewire applications. He emphasized Okta's neutral identity layer as a key differentiator.
Q:What is Okta's pricing strategy for AI agents?
A:Todd McKinnon stated that AI agents are priced as an uplift to named or active users, aligning with how customers currently consume products. He acknowledged that pricing will evolve as more autonomous agents emerge, but the current strategy focuses on reducing friction and gaining market share. Brett Tighe added that early AI deals have significantly larger average deal sizes.
Q:How does the pipeline for AI compare to other products?
A:Todd McKinnon stated that the AI pipeline is larger than anything Okta has seen before. While AI products are not yet materially contributing to revenue, the company is investing heavily in R&D and expects significant future opportunities. He noted that Okta's AI pipeline for internal agents is currently larger than for customer-facing agents.
Q:Are AI products driving broader adoption of Okta's platform?
A:Brett Tighe clarified that AI-specific deals have large line items and are driving broader adoption of Okta's platform. Todd McKinnon added that AI products are leading to more strategic conversations with customers, helping Okta displace legacy systems and sell more products.
Q:What is the status of governance and privileged access management (PAM) products?
A:Eric Kelleher highlighted that governance has evolved into a land product with sizable opportunities, including displacing existing systems. Privileged access management is less mature but is gaining traction, supported by recent acquisitions and investments. Both products are contributing to Okta's growth.
Q:How is Okta differentiating itself in the competitive AI security market?
A:Todd McKinnon emphasized Okta's blueprint for AI security, which provides a clear framework for customers. He noted that Okta's strong customer relationships and position as a neutral identity provider are key differentiators. Eric Kelleher added that Okta's extensive integration network and partnerships with major platform players further enhance its competitive position.
Q:What is the impact of partnerships like ServiceNow on Okta's AI strategy?
A:Todd McKinnon explained that partnerships like ServiceNow focus on capabilities such as severing connections for rogue agents. He emphasized the importance of neutrality and integration with various platforms to meet customer needs. Eric Kelleher added that Okta's history as an integration company positions it well for these partnerships.
Q:How is Okta addressing the challenge of pricing AI deals with unlimited agents?
A:Todd McKinnon clarified that Okta does not offer unlimited agent deals without time or volume constraints. Some deals may include time-bound unlimited terms to allow for experimentation, but these are structured to transition to standard pricing models after a year.
Q:How is Okta's sales workforce performing after recent transitions?
A:Eric Kelleher reported improved sales productivity and retention, with added selling capacity in Q1. He emphasized that the sales team is well-positioned to convert Okta's large pipeline into revenue, supported by a strong product portfolio and customer relationships.
Q:Review of Unclear Management Responses
A:Management avoided providing specific timelines or quantitative details on when AI adoption will happen in mass, the exact size of the AI pipeline, and the measurable impact of partnerships like Project Glasswing on win rates. Responses often included general optimism and strategic positioning without concrete data.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
AI agent
Auth
Brett
Google
Okta AI
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Okta identity
access
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enterprise identity
era
framework
governance capability
identity enterprise
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identity layer
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OKTA Transcript

Okta, Inc. (OKTA) Presents at 2026 Evercore Global TMT Conference Transcript
Neutral6-3
Okta, Inc. (OKTA) Q1 2027 Earnings Call Transcript
Positive5-29

The earnings call summary indicates a positive outlook with a strong AI pipeline, strategic partnerships, and improved sales productivity. Okta's focus on AI adoption and its strategic positioning suggest potential growth. However, the lack of specific timelines and quantitative details introduces some uncertainty. Overall, the positive elements outweigh the uncertainties, suggesting a positive sentiment.

Okta, Inc. (OKTA) Presents at Morgan Stanley Technology, Media & Telecom Conference 2026 Transcript
Neutral3-7
Okta, Inc. (OKTA) Q4 2026 Earnings Call Transcript
Positive3-4

The earnings call summary shows strong financial performance with a 25% revenue increase and improved operating and free cash flow margins. Despite regulatory and market condition risks, the raised outlook for FY '26 and the absence of negative guidance suggest a positive sentiment. The lack of dividend or buyback details doesn't detract from the strong financial results, likely leading to a positive stock price movement.

OKTA Slides

PDFOkta Q4 FY26 slides: revenue beats forecast, AI focus sharpens
2026-03-04

OKTA Report

Okta, Inc. 10-Q
10-Q
2024-12-04
Okta, Inc. 10-Q
10-Q
2024-08-29
Okta, Inc. 10-Q
10-Q
2024-05-30
Okta, Inc. 10-K
10-K
2024-03-01

Frequently Asked Questions

Where does this earnings call transcript come from?

All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.

How soon is the transcript available after the earnings call ends?

Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.

Is the transcript edited or altered in any way?

No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.

Why do some answers appear as “Unclear” or “Inaudible”?

When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.

Who creates the AI Summary and Key Q&A highlights shown above the transcript?

They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.

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