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  4. PagerDuty, Inc. (PD) Q1 2027 Earnings Call Transcript

PagerDuty, Inc. (PD) Q1 2027 Earnings Call Transcript

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PD
PagerDuty Inc
10.28 USD
+3.32%

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

Overview

The earnings call highlights strong financial performance, including exceeding revenue guidance, increased operating margins, and sustained cash flow. The Q&A section reveals optimism about pricing model transitions, AI-driven growth, and customer expansion. Despite some ambiguity in management's responses, the overall sentiment is positive with solid financial metrics and promising future growth prospects. Given the company's market cap, the stock price is likely to experience a positive movement of 2% to 8% over the next two weeks.

Key Financial Performance

Quarterly Revenue $121 million, up 1% year-over-year. The increase was attributed to exceeding the top end of guidance for revenue.

Annual Recurring Revenue (ARR) $496 million, flat year-over-year. The flat growth was due to stabilization efforts and the introduction of new pricing models.

Non-GAAP Operating Margin 25%, up from 20% in the same quarter last year. The increase was driven by consistent discipline, structural efficiency initiatives, and AI adoption.

Gross Margin 86%, at the high end of the 84%-86% target range. This reflects operational efficiency.

GAAP Net Income $10.2 million, marking the fourth consecutive quarter of GAAP profitability. This was achieved through operational execution and efficiency.

Cash from Operations $44 million, representing 37% of revenue. This strong cash generation reflects financial stability and flexibility.

Free Cash Flow $41 million, representing 34% of revenue. This was driven by overperformance on collections.

Total Paid Customers 15,380, adding 133 net new customers year-over-year. Growth was driven by new customer acquisition and platform usage growth.

Dollar-Based Net Retention (DBNR) 97%. Stabilization efforts and new pricing models are expected to gradually increase this metric.

Customers Spending Over $100,000 in ARR 860, up 1% year-over-year. Growth was supported by customer expansion and platform adoption.

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Operating Highlights

AI-first operations platform: PagerDuty has evolved into an AI-first operations platform, embedding AI and automation into its platform to drive customer outcomes and differentiation.

Operations Cloud: The new usage-based Operations Cloud and PagerDuty Advanced Pricing and Packaging are expected to accelerate revenue growth. Usage-based products now account for nearly 10% of total ARR.

SRE Agent: Launched in October, the SRE Agent acts as a virtual responder, gathering signals, performing remediations, and learning from past incidents.

Chat-first incident management: Recent product innovation includes chat-first incident management integrated with Slack and Microsoft Teams.

Customer acquisition: PagerDuty acquired over 600 new customers for the fifth consecutive quarter, with total customers growing 14% year-over-year.

International markets: Progress in Asia Pacific and Japan with enterprise focus, including a marquee land of a television broadcasting and media company.

AI-native companies: Adoption by AI-native companies like Lightspun, Dropzone AI, and Simile AI demonstrates the platform's relevance in the AI era.

Revenue and profitability: Quarterly revenue was $121 million, up 1% year-over-year. Non-GAAP operating margin grew to 25%, with a clear path to a long-term target of 30%.

Cash flow: Cash from operations was $44 million (37% of revenue), and free cash flow was $41 million (34% of revenue).

Leadership transition: Jennifer Tejada transitioned to Executive Chair, and John DiLullo was appointed as the new CEO to lead the next phase of growth.

Share repurchase program: Completed a $200 million share repurchase program and announced a new $100 million share repurchase program.

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Risk or Challenges

Leadership Transition: The recent leadership change, with Jennifer Tejada transitioning to Executive Chair and John DiLullo becoming CEO, could pose risks related to strategic alignment, execution, and continuity during the transition period.

Usage-Based Pricing Transition: The shift to a usage-based pricing model, while promising, carries risks of customer resistance, slower adoption, or potential revenue volatility during the transition.

AI-Driven Operational Risks: AI-driven failures, which are less predictable and more complex, could lead to major operational disruptions for customers, potentially impacting PagerDuty's reputation and customer trust.

Economic Uncertainty: Flat revenue growth projections and cautious customer spending in certain markets indicate potential challenges in achieving growth targets amidst broader economic uncertainties.

Customer Retention and Expansion: While gross retention improved, challenges remain in stabilizing dollar-based net retention (DBNR), which could impact long-term revenue growth.

Competitive Pressures: The need to displace competitors and maintain differentiation in a crowded market, especially with the rise of observability vendors, poses ongoing challenges.

International Market Growth: While international revenue grew modestly, expanding in international markets like Asia Pacific and Japan may face hurdles related to market penetration and local competition.

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Guidance & Outlook

Revenue Guidance for Q2 FY 2027: Revenue is expected to be in the range of $122 million to $124 million, with the midpoint approximately flat year-over-year.

Revenue Guidance for FY 2027: Revenue is expected to be in the range of $488.5 million to $496.5 million, with the midpoint essentially flat year-over-year.

Net Income Guidance for Q2 FY 2027: Net income per diluted share is expected to be in the range of $0.29 to $0.31, implying an operating margin of 22% to 23%.

Net Income Guidance for FY 2027: Net income per diluted share is expected to be in the range of $1.27 to $1.32, implying an operating margin of 24% to 25%.

Operational Focus: The company expects to continue investing in AI product development and go-to-market transformation while maintaining shareholder returns.

Usage-Based Pricing Model: The transition to usage-based pricing is expected to drive revenue growth over time, with early results showing traction and ARR of customers on this model nearly doubling from Q4 to Q1.

Customer Retention and Expansion: Gross retention is expected to gradually improve throughout the year, supported by customer success and renewal initiatives.

AI and Automation: The company anticipates increased demand for its platform due to the growing complexity of digital environments and AI-driven operational risks.

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Shareholder Return Plan

Share Repurchase Program Completion: During the quarter, PagerDuty repurchased 8.5 million shares for $63 million, completing the authorized $200 million share repurchase program.

New Share Repurchase Program: PagerDuty announced a new $100 million share repurchase program, leveraging its strong balance sheet and financial flexibility.

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Key Q&A

Q:What gives confidence in the recovery and stabilization of net retention rates despite a step down from last quarter?
A:Jennifer Tejada explained that the company is seeing progress with early cohorts in the pricing transition, with customers expanding their usage due to the flexibility of usage-based pricing and access to new products. Strong demand signals, such as five consecutive quarters of over 600 new customer logos, and improvements in customer renewal processes, including multiyear multiproduct agreements, are also contributing. Additionally, new demand from large enterprises in verticals like automotive, financial services, and healthcare is encouraging. AI operations are expected to drive future growth as customers move from experimentation to production at scale.
Q:What are John DiLullo's key learnings and priorities as the new CEO?
A:John DiLullo stated that it is early days for him, but he is excited about the company's potential. He emphasized the favorable market dynamics, including the acceleration of AI and automation, which increase the need for resilience and real-time operational response. He believes PagerDuty is underappreciated by investors and sees an opportunity to unlock value.
Q:How is PagerDuty balancing the need for product velocity with headcount growth and commitment to margin expansion?
A:Jennifer Tejada highlighted that PagerDuty has been building AI into its platform for years, creating a competitive advantage. The company uses AI internally to enhance efficiency and innovation, allowing it to deliver more features at a lower cost. Structural programs have been implemented to improve long-term efficiency, enabling continued investment in R&D. Howard Wilson added that the company maintains high gross margins (around 85%-86%) and optimizes infrastructure to support innovation while balancing capital allocation.
Q:What is the outlook for the 10% of ARR from consumption-based pricing, and how are customers responding to this model?
A:Howard Wilson noted that nearly 10% of ARR comes from usage-based products, and while no specific target was provided, it is a focus area. Customers appreciate the access to all products, which supports operational resilience. The model is expected to mitigate retention pressures and accelerate growth, particularly among customers spending over $100,000 annually. Early results from a small customer cohort have been promising, and periodic updates on progress will be provided.
Q:What is the update on AI-native customers and their impact on PagerDuty's growth?
A:Jennifer Tejada explained that AI-native companies are scaling faster and adopting resilience earlier in their lifecycle. PagerDuty's product-led growth (PLG) motion attracts demanding developers, leading to organic expansion. The Operations Cloud pricing model enables faster adoption of multiple products and new use cases. Additionally, large enterprises in traditionally slower-moving verticals are expediting modernization efforts to benefit from AI transformation, further driving growth.
Q:Review of Unclear Management Responses
A:Management avoided providing a specific target for the percentage of ARR from consumption-based pricing by the end of the year, stating only that it is a focus area. Additionally, while they mentioned promising early results from the usage-based model, they did not commit to reporting on its progress every quarter, leaving some ambiguity about its future trajectory.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
AI failure
AI platform
Cloud offering
DiLullo
EMEA
Executive Chair
North
SRE Agent
SRE model
Usage
bank
breadth
category leader
community
control plane
customer partner
customer usage
disruption
era
event intelligence
figure
intelligence automation
mission environment
momentum
platform Cloud
role
signal
start
support
system record
tech company
usage contract
volume
win
year

PD Transcript

PagerDuty, Inc. (PD) Presents at Bank of America 2026 Global Technology Conference Transcript
Neutral6-2
PagerDuty, Inc. (PD) Q1 2027 Earnings Call Transcript
Positive5-29

The earnings call highlights strong financial performance, including exceeding revenue guidance, increased operating margins, and sustained cash flow. The Q&A section reveals optimism about pricing model transitions, AI-driven growth, and customer expansion. Despite some ambiguity in management's responses, the overall sentiment is positive with solid financial metrics and promising future growth prospects. Given the company's market cap, the stock price is likely to experience a positive movement of 2% to 8% over the next two weeks.

PagerDuty, Inc. (PD) Q4 2026 Earnings Call Transcript
Positive3-12

The earnings call reveals strong financial performance, with positive reception of the flex pricing model among large enterprises and strategic focus on high-value segments. Despite some vague responses, the company's transition to a usage-based model, strong cash flow, and improved operational efficiency are positive indicators. The market cap suggests a moderate but positive reaction, likely within the 2% to 8% range.

PagerDuty, Inc. (PD) Q3 2026 Earnings Call Transcript
Positive11-25

The earnings call summary indicates steady financial performance, proactive customer engagement, and successful product developments like the AIOps SKU. Despite some macroeconomic caution, management's focus on long-term growth, multiyear agreements, and usage-based pricing is promising. The company's commitment to achieving GAAP profitability and improving operating margins further supports a positive sentiment. While some uncertainties exist, the overall outlook is optimistic, suggesting a likely positive stock price movement.

PD Slides

PDFPagerDuty Q3 FY26 slides: Profitability gains despite slowing revenue growth
2025-11-25
PDFPagerDuty Q2 FY2026 slides: solid margins amid slowing growth trajectory
2025-09-03
PDFPagerDuty Q1 FY26 slides: steady growth amid profitability gains and AI push
2025-05-29

PD Report

PagerDuty, Inc. 10-Q
10-Q
2024-09-04
PagerDuty, Inc. 10-Q
10-Q
2024-05-31
PagerDuty, Inc. 10-K
10-K
2024-03-15
PagerDuty, Inc. 10-Q
10-Q
2023-12-01

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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