# PagerDuty, Inc. (PD)

Informational only - not investment advice.

CIK: 0001568100
SIC: 7372 Services-Prepackaged Software
SIC breadcrumb: [Services](/division/I/) > [Business Services](/major-group/73/) > [SIC 7372 Services-Prepackaged Software](/industry/7372/)
Latest 10-K filed: 2026-03-12
SEC page: https://www.sec.gov/edgar/browse/?CIK=1568100
Filing source: https://www.sec.gov/Archives/edgar/data/1568100/000156810026000012/pd-20260131.htm

## At a glance

FY2026 · period end 2026-01-31 · filed 2026-03-12 · accession 0001568100-26-000012 · source: https://data.sec.gov/api/xbrl/companyfacts/CIK0001568100.json

| Metric | Value | FY | Provenance |
| --- | ---: | ---: | --- |
| Revenue | 492,546,000 USD | 2026 | verified |
| Net income | 173,373,000 USD | 2026 | verified |
| Assets | 990,515,000 USD | 2026 | verified |
| Free cash flow | 111,916,000 USD | 2026 | computed |
| Net margin | 35.20% | 2026 | computed |
| Operating margin | 1.19% | 2026 | computed |
| Revenue YoY | +5.36% | 2026 | computed |
| ROE | 68.37% | 2026 | computed |

Computed values are grepcent-computed from the verified facts above and may differ from ratios the company itself reports. Free cash flow = operating cash flow − capital expenditures. Net margin = net income ÷ revenue. Operating margin = operating income ÷ revenue. Revenue YoY = FY2026 revenue ÷ FY2025 revenue − 1 (consecutive fiscal years only). ROE = net income ÷ period-end stockholders' equity.

No market price, no rating, no forecast on this site. Not investment advice.

### Peer percentile fingerprint

| Ratio | PD | Peer median | Percentile | N |
| --- | ---: | ---: | ---: | ---: |
| Net margin | 35.2% | 1.5% | 95 | 122 |
| Operating margin | 1.2% | 1.3% | 49 | 121 |
| Revenue growth | 5.4% | 13.5% | 24 | 124 |
| FCF margin | 22.7% | 19.3% | 63 | 120 |
| ROE | 68.4% | 2.0% | 98 | 112 |
| ROA | 17.5% | 0.9% | 91 | 124 |
| Liabilities / equity | 2.84 | 0.91 | 78 | 113 |
| Current ratio | 2.01 | 1.57 | 69 | 124 |

Percentile = share of the N covered peers reporting that ratio whose value is lower (ties counted half); computed among grepcent-covered companies in SIC industry 7372 Services-Prepackaged Software, not the whole market. A higher percentile means a higher value of the ratio, not a better company. Ratios with fewer than 8 reporting peers are omitted. Latest reported values per company; fiscal periods may differ. Descriptive arithmetic - not a score, rating, or ranking.

## Selected Fundamentals
| Metric | Value | Unit | FY | Filed |
| --- | ---: | --- | ---: | --- |
| Revenue | 492546000 | USD | 2026 | 2026-03-12 |
| Net income | 173373000 | USD | 2026 | 2026-03-12 |
| Assets | 990515000 | USD | 2026 | 2026-03-12 |

## Financials

Annual standardized facts from SEC companyfacts as of latest extracted filing date 2026-03-12. Source: https://data.sec.gov/api/xbrl/companyfacts/CIK0001568100.json. Derived margins, ratios, and free cash flow are computed from the extracted annual SEC facts.

| Metric | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
| Revenue |  | 79,630,000 | 117,823,000 | 166,351,000 | 213,556,000 | 281,396,000 | 370,793,000 | 430,699,000 | 467,499,000 | 492,546,000 |
| Net income |  | -38,149,000 | -40,741,000 | -50,339,000 | -68,903,000 | -107,455,000 | -128,423,000 | -75,189,000 | -42,735,000 | 173,373,000 |
| Operating income |  | -38,316,000 | -42,321,000 | -55,559,000 | -66,282,000 | -101,711,000 | -129,377,000 | -96,246,000 | -59,772,000 | 5,840,000 |
| Gross profit |  | 66,913,000 | 100,568,000 | 141,772,000 | 182,870,000 | 233,035,000 | 300,359,000 | 352,867,000 | 387,834,000 | 418,404,000 |
| Diluted EPS |  |  |  | -0.77 | -0.87 | -1.27 | -1.45 | -0.89 | -0.59 | 1.87 |
| Operating cash flow |  | -11,836,000 | -5,608,000 | -173,000 | 10,095,000 | -6,021,000 | 16,980,000 | 71,974,000 | 117,891,000 | 114,857,000 |
| Capital expenditures |  | 822,000 | 3,730,000 | 5,174,000 | 4,038,000 | 3,457,000 | 4,637,000 | 2,164,000 | 2,791,000 | 2,941,000 |
| Share buybacks |  |  |  |  |  | 0.00 | 0.00 | 50,000,000 | 100,104,000 | 134,916,000 |
| Assets |  |  | 197,234,000 | 435,398,000 | 795,443,000 | 806,448,000 | 817,873,000 | 925,306,000 | 927,266,000 | 990,515,000 |
| Liabilities |  |  | 93,141,000 | 127,460,000 | 428,716,000 | 539,473,000 | 575,787,000 | 746,413,000 | 779,221,000 | 719,850,000 |
| Stockholders' equity | -38,550,000 | -56,365,000 | -68,930,000 | 307,938,000 | 366,727,000 | 266,975,000 | 240,978,000 | 171,600,000 | 129,828,000 | 253,593,000 |
| Cash and cash equivalents |  | 43,999,000 | 127,875,000 | 124,024,000 | 339,166,000 | 349,785,000 | 274,019,000 | 363,011,000 | 346,460,000 | 237,402,000 |
| Free cash flow |  | -12,658,000 | -9,338,000 | -5,347,000 | 6,057,000 | -9,478,000 | 12,343,000 | 69,810,000 | 115,100,000 | 111,916,000 |

### Ratios

ROE and ROA use period-end equity/assets. Liabilities / equity uses total liabilities divided by stockholders' equity. Current ratio uses current assets divided by current liabilities when both are reported.

| Metric | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
| Net margin |  | -47.91% | -34.58% | -30.26% | -32.26% | -38.19% | -34.63% | -17.46% | -9.14% | 35.20% |
| Operating margin |  | -48.12% | -35.92% | -33.40% | -31.04% | -36.15% | -34.89% | -22.35% | -12.79% | 1.19% |
| Return on equity |  |  |  | -16.35% | -18.79% | -40.25% | -53.29% | -43.82% | -32.92% | 68.37% |
| Return on assets |  |  | -20.66% | -11.56% | -8.66% | -13.32% | -15.70% | -8.13% | -4.61% | 17.50% |
| Liabilities / equity |  |  |  | 0.41 | 1.17 | 2.02 | 2.39 | 4.35 | 6.00 | 2.84 |
| Current ratio |  |  | 1.95 | 3.52 | 3.70 | 2.84 | 2.21 | 2.50 | 1.93 | 2.01 |

## As-reported value updates

No tracked differences above grepcent's stated thresholds and capped precision rule were found between the earliest XBRL-filed value and the value currently on file for the standardized annual metrics grepcent tracks.


## Quarterly

Quarterly standardized facts from SEC companyfacts as of latest extracted filing date 2026-05-28. Source: https://data.sec.gov/api/xbrl/companyfacts/CIK0001568100.json.

Flow metrics use discrete quarter-length periods from 10-Q/10-Q/A filings. Q4 revenue and net income are derived only when annual FY and nine-month YTD facts exist for the same fiscal year; derived Q4 values are labeled. EPS Q4 is not derived.

| Quarter | End date | Revenue | Net income | Diluted EPS | Method |
| --- | --- | ---: | ---: | ---: | --- |
| 2023-Q2 | 2022-07-31 |  |  | -0.44 | reported discrete quarter |
| 2023-Q3 | 2022-10-31 |  |  | -0.36 | reported discrete quarter |
| 2024-Q1 | 2023-04-30 |  |  | -0.13 | reported discrete quarter |
| 2024-Q2 | 2023-07-31 | 107,616,000 | -22,053,000 | -0.26 | reported discrete quarter |
| 2024-Q3 | 2023-10-31 | 108,720,000 | -12,766,000 | -0.16 | reported discrete quarter |
| 2024-Q4 | 2024-01-31 | 111,117,000 | -28,152,000 |  | derived Q4 = FY annual - nine-month YTD |
| 2025-Q1 | 2024-04-30 | 111,172,000 | -17,139,000 | -0.26 | reported discrete quarter |
| 2025-Q2 | 2024-07-31 | 115,935,000 | -10,912,000 | -0.14 | reported discrete quarter |
| 2025-Q3 | 2024-10-31 | 118,946,000 | -5,924,000 | -0.07 | reported discrete quarter |
| 2025-Q4 | 2025-01-31 | 121,446,000 | -8,760,000 |  | derived Q4 = FY annual - nine-month YTD |
| 2026-Q1 | 2025-04-30 | 119,805,000 | -7,162,000 | -0.07 | reported discrete quarter |
| 2026-Q2 | 2025-07-31 | 123,411,000 | 9,575,000 | 0.10 | reported discrete quarter |
| 2026-Q3 | 2025-10-31 | 124,545,000 | 161,586,000 | 1.69 | reported discrete quarter |
| 2026-Q4 | 2026-01-31 | 124,785,000 | 9,374,000 |  | derived Q4 = FY annual - nine-month YTD |
| 2027-Q1 | 2026-04-30 | 120,967,000 | 5,283,000 | 0.13 | reported discrete quarter |

## Filed narrative (10-K & 10-Q)

## Business

Verbatim Item 1 Business section from PD's latest 10-K: [/company/PD/business/](/company/PD/business/).

## Risk Factors

Verbatim Item 1A Risk Factors from PD's latest 10-K: [/company/PD/risk-factors/](/company/PD/risk-factors/).

## Latest quarter (10-Q)

Latest 10-Q source: https://www.sec.gov/Archives/edgar/data/1568100/000156810026000031/pd-20260430.htm

Extracted structurally from real Item 2 body heading to real Item 3/4 boundary. Published MD&A gate trimmed front/tail over-capture.
Confidence: high
Filing date: 2026-05-28
Report date: 2026-04-30

Item 2. Management’s Discussion and Analysis of Financial Condition and Results of Operations

The following discussion and analysis of the financial condition and results of operations of PagerDuty, Inc. and its wholly-owned subsidiaries, and subsidiaries in which PagerDuty, Inc. holds a controlling interest (“PagerDuty,” “we,” “us” or “our”) should be read in conjunction with our unaudited consolidated financial statements and related notes thereto included elsewhere in this Quarterly Report on Form 10-Q and with our audited financial statements and related notes in our Annual Report on Form 10-K for the year ended January 31, 2026. You should review the sections titled “Special Note Regarding Forward-Looking Statements” above in this Quarterly Report on Form 10-Q for a discussion of forward-looking statements that involve risks and uncertainties. Our actual results could differ materially from those discussed below. Factors that could cause or contribute to such differences include, but are not limited to, adverse effects on our business and general economic conditions as identified below, and those discussed in the section titled “Risk Factors” included in our Annual Report on Form 10-K and elsewhere in this Quarterly Report on Form 10-Q. The last day of our fiscal year is January 31. Our fiscal quarters end on April 30, July 31, October 31 and January 31. Except as otherwise noted, all references to fiscal 2027 refer to the fiscal year ending January 31, 2027.

Overview and Business Model

PagerDuty, Inc. transforms critical work for modern business by building operational resilience, reducing risk, improving customer experience, and driving operational efficiency across digital operations. As a global leader in digital operations management since 2009, PagerDuty helps enterprises manage the complex web of infrastructure, applications, and systems that power today's digital experiences. The PagerDuty Operations Cloud sits at the center of the enterprise technology stack as a system of intelligence and action, ingesting signals from over 750 integrations—including monitoring, observability, security, customer service, and development tools—to orchestrate the right response across people, machines, and software.

Built for the modern era of artificial intelligence (“AI”), PagerDuty empowers customers to maximize the value of their AI investments through agentic workflows, AI-powered automation, and intelligent orchestration that accelerates incident detection and resolution while enabling teams to focus on innovation rather than firefighting.

In today's environment, every business is fundamentally a digital business. Whether in retail, financial services, healthcare, telecommunications, or supply chain logistics, modern commerce depends on increasingly complex networks of digital infrastructure, cloud services, applications, and distributed teams that operate in an always-on world. This complexity continues to accelerate as organizations adopt AI-driven systems and integrate artificial intelligence across their operations.

Customer expectations have never been higher. Incidents are measured not just in lost revenue but in damaged brand reputation and customer trust. Organizations face mounting pressure to deliver always-on digital experiences, resolve issues proactively before customers are impacted, and innovate rapidly without proportionally increasing operational costs or headcount. The ability to anticipate, orchestrate, and resolve time-sensitive, critical, and unplanned work before it escalates has become a strategic imperative and competitive differentiator.

Since our founding in 2009, PagerDuty has evolved from a single product focused on on-call management for developers into a comprehensive, multi-product operations cloud that spans the entire enterprise. Today, our platform breaks down organizational silos across development, IT operations, security, customer service, and business operations, reaching technical practitioners and executive stakeholders alike.

Over more than a decade, we have built one of the industry's most comprehensive integration ecosystems, with over 750 direct integrations spanning monitoring tools, cloud platforms, collaboration systems, ITSM solutions, and business applications. We also support the Model Context Protocol (“MCP”), enabling seamless integration with AI agents and large language model-powered tools to extend our platform's capabilities into emerging AI workflows. This deep integration fabric allows our customers to gather and correlate digital signals from across their entire technology stack – both modern cloud-native and legacy systems – without the friction of context switching or manual data aggregation.

These same integrations enable powerful workflow automation, connecting technical operations with popular collaboration tools and business applications to drive coordinated responses and accelerate resolution. Our open platform approach and extensive partner ecosystem have become a strategic moat, making PagerDuty increasingly embedded and essential within our customers' operations.

24

Table of Contents

We generate revenue primarily from cloud-hosted software subscriptions, with additional revenue from term-license arrangements. Our land-and-expand business model drives viral adoption and natural expansion as teams experience value and extend PagerDuty to new users, use cases, and products. During the current fiscal year, we took initial steps to provide customers with more flexible pricing options, including usage-based pricing models that enable customers to seamlessly scale between human responders, agents, and automated solutions, better aligning customer investments to business outcomes rather than headcount and licenses, and supporting our transition from traditional single-year seat-based licensing to multiyear platform usage agreements.

While the PagerDuty platform serves organizations of all sizes, we have strategically focused our go-to-market investments, including our enterprise field sales organization, on serving enterprise customers where we see the greatest opportunity for platform adoption and expansion. Today, nearly half of the Fortune 500 and approximately two-thirds of the Fortune 100 rely on PagerDuty as mission-critical infrastructure. Our enterprise customers represent the majority of our revenue and demonstrate strong retention and expansion characteristics.

Macroeconomic Environment

Our business and financial performance has and may continue to be subject to the effects of worldwide macroeconomic conditions, including, but not limited to, global inflation and heightened interest rates, tariffs and trade wars, existing and new laws and regulations, and economic uncertainty and volatility globally and in the jurisdictions in which we do business.

We will continue to monitor the direct and indirect impacts of these or similar circumstances on our business and financial results. For additional information on the potential impact of macroeconomic conditions on our business, see Part II, Item 1A, Risk Factors.

Key Business Metrics

We review the following key business metrics to evaluate our business, measure our performance, identify trends affecting our business, formulate business plans, and make strategic decisions.

While these metrics are based on what we believe to be a reasonable representation of our customer base for the applicable period of measurement, we rely on a third party to validate legal entities using the best available data at period end, and therefore, these metrics are subject to change as new information becomes available. In addition, we are continually seeking to improve our methodology, which may result in future changes to our key metrics.

Annual Recurring Revenue (“ARR”)

We believe ARR is a key metric to measure our business performance because it is an indication of our ability to maintain and expand our relationships with existing customers and generate new business. We define ARR as the annualized recurring revenue of all active contracts at the end of a reporting period.

ARR was as follows as of the dates indicated (in millions):

[[GREPCENT_TABLE]]
[["","As of April 30,"],["","2026","","2025"],["ARR","$","495.6","","","$","496.0"]]
[[/GREPCENT_TABLE]]

25

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Number of Customers

We believe that the number of customers using our platform, particularly those that have subscription agreements for more than $100.0 thousand in ARR, are indicators of our market penetration, particularly within enterprise accounts, the growth of our business, and our potential future business opportunities. We define a customer as a separate legal entity, such as a company or an educational or government institution, that has an active subscription with us or one of our partners to access our platform. In situations where an organization has multiple subsidiaries or divisions, we treat the parent entity as the customer instead of treating each subsidiary or division as a separate customer. Increasing awareness of our platform and its broad range of capabilities, coupled with the fact that the world is always on and powered by increasingly complex technology, has expanded the diversity of our customer base to include organizations of all sizes across virtually all industries. Over time, enterprise customers have constituted a greater share of our revenue. The total number of paid customers and the number of customers with greater than $100.0 thousand in ARR were as follows as of the dates indicated:

[[GREPCENT_TABLE]]
[["","As of April 30,"],["","2026","","2025"],["Customers","15,380","","","15,247"],["Customers with greater than $100.0 thousand in ARR","860","","","848"]]
[[/GREPCENT_TABLE]]

Dollar-based Net Retention Rate

We use dollar-based net retention rate to evaluate the long-term value of our customer relationships, since this metric reflects our ability to retain and expand the ARR from our existing paid customers. Our dollar-based net retention rate compares our ARR from the same set of customers across comparable periods.

We calculate dollar-based net retention rate as of a period end by starting with the ARR from the cohort of all paid customers as of 12 months prior to such period end (“Prior Period ARR”). We then calculate the ARR from these same customers as of the current period end (“Current Period ARR”). Current Period ARR includes any expansion and is net of downgrades or churn over the last 12 months but excludes ARR from new customers in the current period. We then divide the total Current Period ARR by the total Prior Period ARR to arrive at the dollar-based net retention rate. The dollar-based net retention rate was as follows as of the dates indicated:

[[GREPCENT_TABLE]]
[["","Last 12 months ended April 30,"],["","2026","","2025"],["Dollar-based net retention rate","97","%","","104","%"]]
[[/GREPCENT_TABLE]]

26

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Results of Operations

Three months ended April 30, 2026 compared to three months ended April 30, 2025

The following table sets forth our results of operations for the periods indicated and as a percentage of revenue (in thousands, except percentages):

[Excerpt truncated for page length; source filing is linked above.]

## Latest 10-K MD&A (excerpt)

Latest 10-K Item 7 source: https://www.sec.gov/Archives/edgar/data/1568100/000156810026000012/pd-20260131.htm
Complete FY 2026 MD&A: /company/PD/mda/fy2026/

Extracted structurally from real Item 7 body heading to real Item 7A/8 boundary. Published MD&A gate trimmed front/tail over-capture.
Confidence: high
Filing date: 2026-03-12
Report date: 2026-01-31

Item 7. Management’s Discussion and Analysis of Financial Condition and Results of Operations

The following discussion and analysis of the financial condition and results of operations of PagerDuty, Inc. and its wholly-owned subsidiaries, and subsidiaries in which PagerDuty, Inc. holds a controlling interest (“PagerDuty,” “we,” “us” or “our”) should be read in conjunction with the consolidated financial statements and related notes thereto included elsewhere in this Annual Report on Form 10-K (this “Form 10-K”). This discussion contains forward-looking statements that involve risks and uncertainties. Our actual results could differ materially from those discussed below. Factors that could cause or contribute to such differences include, but are not limited to, adverse effects on our business and general economic conditions due to those identified below, and those discussed in the section titled “Risk Factors” included elsewhere in this Form 10-K. The last day of our fiscal year is January 31. Our fiscal quarters end on April 30, July 31, October 31, and January 31.

In this section, we discuss the results of our operations for the year ended January 31, 2026 compared to the year ended January 31, 2025. For a discussion of the year ended January 31, 2025 compared to the year ended January 31, 2024, please refer to Part II, Item 7, "Management's Discussion and Analysis of Financial Condition and Results of Operations" in our Annual Report on Form 10-K for the year ended January 31, 2025.

Overview

PagerDuty, Inc. transforms critical work for modern business by building operational resilience, reducing risk, improving customer experience, and driving operational efficiency across digital operations. As a global leader in digital operations management since 2009, PagerDuty helps enterprises manage the complex web of infrastructure, applications, and systems that power today's digital experiences. The PagerDuty Operations Cloud sits at the center of the enterprise technology stack as a system of intelligence and action, ingesting signals from over 700 integrations—including monitoring, observability, security, customer service, and development tools—to orchestrate the right response across people, machines, and software.

Built for the modern era of artificial intelligence (“AI”), PagerDuty empowers customers to maximize the value of their AI investments through agentic workflows, AI-powered automation, and intelligent orchestration that accelerates incident detection and resolution while enabling teams to focus on innovation rather than firefighting.

55

Table of Contents

In today's environment, every business is fundamentally a digital business. Whether in retail, financial services, healthcare, telecommunications, or supply chain logistics, modern commerce depends on increasingly complex networks of digital infrastructure, cloud services, applications, and distributed teams that operate in an always-on world. This complexity continues to accelerate as organizations adopt AI-driven systems and integrate artificial intelligence across their operations.

Customer expectations have never been higher. Incidents are measured not just in lost revenue but in damaged brand reputation and customer trust. Organizations face mounting pressure to deliver always-on digital experiences, resolve issues proactively before customers are impacted, and innovate rapidly without proportionally increasing operational costs or headcount. The ability to anticipate, orchestrate, and resolve time-sensitive, critical, and unplanned work before it escalates has become a strategic imperative and competitive differentiator.

Since our founding in 2009, PagerDuty has evolved from a single product focused on on-call management for developers into a comprehensive, multi-product operations cloud that spans the entire enterprise. Today, our platform breaks down organizational silos across development, IT operations, security, customer service, and business operations, reaching technical practitioners and executive stakeholders alike.

Over more than a decade, we have built one of the industry's most comprehensive integration ecosystems, with over 700 direct integrations spanning monitoring tools, cloud platforms, collaboration systems, ITSM solutions, and business applications. We also support the Model Context Protocol (“MCP”), enabling seamless integration with AI agents and large language model-powered tools to extend our platform's capabilities into emerging AI workflows. This deep integration fabric allows our customers to gather and correlate digital signals from across their entire technology stack – both modern cloud-native and legacy systems – without the friction of context switching or manual data aggregation.

These same integrations enable powerful workflow automation, connecting technical operations with popular collaboration tools and business applications to drive coordinated responses and accelerate resolution. Our open platform approach and extensive partner ecosystem have become a strategic moat, making PagerDuty increasingly embedded and essential within our customers' operations.

We generate revenue primarily from cloud-hosted software subscriptions, with additional revenue from term-license arrangements. Our land-and-expand business model drives viral adoption and natural expansion as teams experience value and extend PagerDuty to new users, use cases, and products. During the current fiscal year, we took initial steps to provide customers with more flexible pricing options, including usage-based pricing models that enable customers to seamlessly scale between human responders, agents, and automated solutions, better aligning customer investments to business outcomes rather than headcount and licenses, and supporting our transition from traditional single-year seat-based licensing to multiyear platform usage agreements.

While the PagerDuty platform serves organizations of all sizes, we have strategically focused our go-to-market investments, including our enterprise field sales organization, on serving enterprise customers where we see the greatest opportunity for platform adoption and expansion. Today, nearly half of the Fortune 500, half of the Forbes AI 50, and approximately two-thirds of the Fortune 100 rely on PagerDuty as mission-critical infrastructure. Our enterprise customers represent the majority of our revenue and demonstrate strong retention and expansion characteristics.

56

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As of January 31, 2026, we had 15,351 paying customers globally, ranging from the most disruptive startups to established Fortune 100 companies across every industry including software and technology, financial services, telecommunications, retail, travel and hospitality, and media and entertainment. Our customers use our products across a broad range of use cases such as engineering, IT operations, security, and customer service. Of these customers, 861 customers contribute annual recurring revenue (“ARR”) in excess of $100.0 thousand, and 79 customers contribute ARR in excess of $1.0 million. We define ARR as the annualized recurring revenue of all active contracts at the end of a reporting period. We define a customer as a separate legal entity, such as a company or an educational or government institution, that has an active subscription with us or one of our partners to access our platform. In situations where an organization has multiple subsidiaries or divisions, we treat the parent entity as the customer instead of treating each subsidiary or division as a separate customer. Our 10 largest customers represented approximately 2% of our revenue for the fiscal year ended January 31, 2026, and no single customer represented more than 10% of our revenue in the same period, highlighting the breadth of our customer base. We serve a vital role in our customers’ digital operations and grow with them as their needs expand. As such, we have developed a loyal customer base, with total ARR churn representing less than 10% of beginning ARR for the fiscal year ended January 31, 2026. Our ARR churn rate represents lost revenue from customers that were no longer contributing revenue at the end of the current period but did contribute revenue in the equivalent prior year period. We generally bill monthly subscriptions on a monthly basis and subscriptions with terms of greater than one year annually in advance.

We expand within our existing customer base by adding more users, creating additional use cases, and upselling higher priced packages and additional products. Once our platform is deployed, we typically see increased expansion within our customer base. Our dollar-based net retention rate was 98% for the fiscal year ended January 31, 2026.

We have an efficient operating model, which comes from a combination of our cloud-native architecture, optimal utilization of our third-party hosting providers, and prudent approach to headcount expansion. This has allowed us to achieve profitability and a gross margin of 84.9% for the fiscal year ended January 31, 2026. This has allowed us the flexibility to invest more in our platform and go-to-market function while maintaining strong operating leverage on our path to profitability.

Macroeconomic Environment

Our business and financial performance has and may continue to be subject to the effects of worldwide macroeconomic conditions, including, but not limited to, global inflation and heightened interest rates, existing and new laws and regulations, and economic uncertainty and volatility globally and in the jurisdictions in which we do business.

We will continue to monitor the direct and indirect impacts of these or similar circumstances on our business and financial results. For additional information on the potential impact of macroeconomic conditions on our business, see Part I, Item 1A, Risk Factors.

Key Factors Affecting Our Performance

Attracting New Customers

Sustaining our growth requires continued adoption of our platform by new customers. We will continue to invest in building brand awareness as we further penetrate our addressable markets. Our financial performance will depend in large part on the overall demand for our platform, particularly demand from enterprise customers, and our ability to meet the evolving needs of our customers. As of January 31, 2026, we had 15,351 paying customers spanning organizations of a broad range of sizes and industries, compared to 15,114 as of January 31, 2025.

Expanding Within our Customer Base

The majority of our revenue is generated from our existing customer base. Often, our customers expand the deployment of our platform across large teams and more broadly within the enterprise as they realize the benefits of our platform. We believe that our land-and-expand business model allows us to efficiently increase revenue from our existing customer base. Further, we will continue to invest in enhancing awareness of our brand, creating additional use cases, and developing more products, features, and functionality, which we believe are important factors to achieve widespread adoption of our platform.

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Sustaining Product Innovation and Technology Leadership

Our success is dependent on our ability to sustain product innovation and technology leadership in order to maintain our competitive advantage. We believe that we have built a highly differentiated platform that will position us to further extend the adoption of our products. While sales of subscriptions to our incident management product account for a significant majority of our revenue, we intend to continue to invest in building additional products, features, and functionality that expand our capabilities and facilitate the extension of our platform to new use cases. Our future success is dependent on our ability to successfully develop, market, and sell these additional products to both new and existing customer

[Excerpt truncated for page length; the complete text is on the linked full-MD&A page.]

Read the full FY 2026 MD&A: /company/PD/mda/fy2026/
All MD&A years: /company/PD/mda/


## MD&A history

Prior-year 10-K MD&A spans are extracted from SEC filings with the same bounded parser used for the latest filing. Each year's full verbatim text is on its own sub-page.

- [FY 2025 MD&A](/company/PD/mda/fy2025/): filed 2025-03-17; accession 0001568100-25-000023 (https://www.sec.gov/Archives/edgar/data/1568100/000156810025000023/pd-20250131.htm)
- [FY 2024 MD&A](/company/PD/mda/fy2024/): filed 2024-03-15; accession 0001568100-24-000013 (https://www.sec.gov/Archives/edgar/data/1568100/000156810024000013/pd-20240131.htm)
- [FY 2023 MD&A](/company/PD/mda/fy2023/): filed 2023-03-16; accession 0001568100-23-000013 (https://www.sec.gov/Archives/edgar/data/1568100/000156810023000013/pd-20230131.htm)
- [FY 2022 MD&A](/company/PD/mda/fy2022/): filed 2022-03-17; accession 0001568100-22-000014 (https://www.sec.gov/Archives/edgar/data/1568100/000156810022000014/pd-20220131.htm)




## Macro cross-references

Indicators mapped to this company's SIC classification (industry 7372 Services-Prepackaged Software) by grepcent's deterministic macro-sector crosswalk. A navigational mapping, not a statistical or causal claim.

- [PAYEMS](/indicator/PAYEMS/): All Employees, Total Nonfarm
- [CES0500000003](/indicator/CES0500000003/): Average Hourly Earnings of All Employees, Total Private
- [DGS10](/indicator/DGS10/): Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity

Macro-to-micro threads including this sector: [US labor market](/thread/us-labor-market/), [Growth & output](/thread/growth-output/), [Government finances](/thread/government-finances/), [Sector employment](/thread/sector-employment/).

All macro indicators: /indicators/


## For LLMs & downloads

Markdown twin: /company/PD.md · JSON record: /company/PD.json · verified financials: /company/PD/financials.json / /company/PD/financials.csv · machine TOC for the whole site: /llms.txt