Second quarter revenue grew 25% year-over-year to $509 million

Strong growth of larger customers, with about 2,990 $100k+ ARR customers, up from about 2,420 a year ago

Announced innovations for Generative AI, Observability, Security, Developer Experience, and Cost Management at DASH 2023

Named a Leader in the 2023 Gartner Magic Quadrant for Application Performance Monitoring and Observability

NEW YORK, Aug. 8, 2023 /PRNewswire/ -- Datadog, Inc. (NASDAQ:DDOG), the monitoring and security platform for cloud applications, today announced financial results for its second quarter ended June 30, 2023.

"We continued to execute well in the second quarter, with 25% year-over-year revenue growth, strong new logo bookings, continued customer growth, and increased multi-product adoption by our customers," said Olivier Pomel, co-founder and CEO of Datadog.

Pomel added, "Last week at our annual user conference, DASH, we announced dozens of new products and capabilities, showcasing our rapid innovation at scale. We launched new AI offerings including LLM Observability, the Bits AI assistant, and over a dozen new AI-related integrations. And we broadened our platform across Observability, Cloud Security, Developer Experience, and Cost Optimization use cases."

Second Quarter 2023 Financial Highlights:

• Revenue was $509.5 million, an increase of 25% year-over-year.
  
  
• GAAP operating loss was $(22.0) million; GAAP operating margin was (4)%.
  
  
• Non-GAAP operating income was $106.5 million; non-GAAP operating margin was 21%.
  
  
• GAAP net loss per diluted share was $(0.01); non-GAAP net income per diluted share was $0.36.
  
  
• Operating cash flow was $153.2 million, with free cash flow of $141.7 million.
  
  
• Cash, cash equivalents, and marketable securities were $2.2 billion as of June 30, 2023.

Second Quarter & Recent Business Highlights:

• As of June 30, 2023, we had about 2,990 customers with ARR of $100,000 or more, an increase of 24% from about 2,420 as of June 30, 2022.
  
  
• Announced a new Large Language Model (LLM) observability solution and over a dozen new integrations, to enable organizations building their LLM-based applications to monitor and troubleshoot Large Language Model stacks.
  
  
• Announced Bits AI, a new Generative AI-based assistant that learns from customers' observability data and helps engineers resolve application issues in real time.
  
  
• Announced Historical Investigations with Cloud SIEM, with new detection and exploration capabilities so security teams can conduct historical investigations and uncover threats hidden within their cloud and IT environments.
  
  
• Announced the general availability of Security Inbox for Cloud Security Management, a new capability for Security and DevOps engineers to prioritize and remediate the most important security issues impacting their production applications.
  
  
• Announced the general availability of Intelligent Test Runner, which helps save developer time and minimize failures in organizations' CI/CD pipelines by automatically selecting and running only the tests that are relevant to code changes.
  
  
• Launched Flex Logs for Log Management. Built on top of Datadog's Husky technology, Flex Logs enables organizations to keep high-volume logs for long periods of time.
  
  
• Named a leader in the 2023 Gartner Magic Quadrant for Application Performance Monitoring and Observability. This is the third year in a row Gartner has positioned Datadog as a Leader in its Magic Quadrant.
  
  
• Extended new capabilities for Cloud Cost Management including container cost allocation, cost monitors and support for Microsoft Azure.
  
  
• Announced the general availability of Workflow Automation. This new product enables teams to automate end-to-end remediation processes - with out-of-the-box actions and pre-built templates - across all systems, apps and services to help identify, investigate and resolve service disruptions and security threats faster.
  
  
• Released new capabilities and integrations for Microsoft Azure at Microsoft Build, including support for Azure OpenAI Service, Azure Arc, Cloudcraft for Azure and Cloud Cost Management for Azure.
  
  
• Announced an integration that monitors OpenAI API usage patterns, costs and performance for various OpenAI models, including GPT-4 and other completion models.

Third Quarter and Full Year 2023 Outlook:

Based on information as of today, August 8, 2023, Datadog is providing the following guidance:

• Third Quarter 2023 Outlook:
• Revenue between $521 million and $525 million.
• Non-GAAP operating income between $98 million and $102 million.
• Non-GAAP net income per share between $0.33 and $0.35, assuming approximately 354 million weighted average diluted shares outstanding.
• Full Year 2023 Outlook:
• Revenue between $2.05 billion and $2.06 billion.
• Non-GAAP operating income between $390 million and $400 million.
• Non-GAAP net income per share between $1.30 and $1.34, assuming approximately 351 million weighted average diluted shares outstanding.

Datadog has not reconciled its expectations as to non-GAAP operating income, or as to non-GAAP net income per share, to their most directly comparable GAAP measure as a result of uncertainty regarding, and the potential variability of, reconciling items such as stock-based compensation and employer payroll taxes on equity incentive plans. Accordingly, reconciliation is not available without unreasonable effort, although it is important to note that these factors could be material to Datadog's results computed in accordance with GAAP.

Conference Call Details:

• What: Datadog financial results for the second quarter of 2023 and outlook for the third quarter and the full year 2023
  
  
• When: August 8, 2023 at 8:00 A.M. Eastern Time (5:00 A.M. Pacific Time)
  
  
• Dial in: To access the call in the U.S., please register here. Callers are encouraged to dial into the call 10 to 15 minutes prior to the start to prevent any delay in joining.
  
  
• Webcast: https://investors.datadoghq.com (live and replay)
  
  
• Replay: A replay of the call will be archived on the investor relations website

About Datadog

Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, real-user monitoring, and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior, and track key business metrics.

Forward-Looking Statements

This press release and the earnings call referencing this press release contain "forward-looking" statements, as that term is defined under the federal securities laws, including but not limited to statements regarding Datadog's strategy, product and platform capabilities, the benefits and expected closing of acquisitions, growth in and ability to capitalize on long-term market opportunities including the pace and scope of cloud migration and digital transformation, gross margins and operating margins including with respect to sales and marketing, research and development expenses, investments and capital expenditures, tax expense, net interest and other income as well as the impact of increased office activity and marketing, and Datadog's future financial performance, including its outlook for the third quarter and fiscal year 2023 and related notes and assumptions. These forward-looking statements are based on Datadog's current assumptions, expectations and beliefs and are subject to substantial risks, uncertainties, assumptions and changes in circumstances that may cause Datadog's actual results, performance or achievements to differ materially from those expressed or implied in any forward-looking statement.

The risks and uncertainties referred to above include, but are not limited to (1) our recent rapid growth may not be indicative of our future growth; (2) our history of operating losses; (3) our limited operating history; (4) our business depends on our existing customers purchasing additional subscriptions and products from us and renewing their subscriptions; (5) our ability to attract new customers; (6) our ability to effectively develop and expand our sales and marketing capabilities; (7) risk of a security breach; (8) risk of interruptions or performance problems associated with our products and platform capabilities; (9) our ability to adapt and respond to rapidly changing technology or customer needs; (10) the competitive markets in which we participate; (11) risks associated with successfully managing our growth; and (12) general market, political, economic, and business conditions including concerns about reduced economic growth and associated decreases in information technology spending. These risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission (SEC), including in the section entitled "Risk Factors" in our Annual Report on Form 10-K for the year ended December 31, 2022, filed with the SEC on February 24, 2023. Additional information will be made available in our Quarterly Report on Form 10-Q for the quarter ended June 30, 2023 and other filings and reports that we may file from time to time with the SEC. Moreover, we operate in a very competitive and rapidly changing environment. New risks emerge from time to time. It is not possible for our management to predict all risks, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements we may make. In light of these risks, uncertainties and assumptions, we cannot guarantee future results, levels of activity, performance, achievements, or events and circumstances reflected in the forward-looking statements will occur. Forward-looking statements represent our beliefs and assumptions only as of the date of this press release. We disclaim any obligation to update forward-looking statements.

About Non-GAAP Financial Measures

Datadog discloses the following non-GAAP financial measures in this release and the earnings call referencing this press release: non-GAAP gross profit, non-GAAP gross margin, non-GAAP operating expenses (research and development, sales and marketing and general and administrative), non-GAAP operating income (loss), non-GAAP operating margin, non-GAAP net income (loss), non-GAAP net income (loss) per basic share, non-GAAP net income (loss) per diluted share, and free cash flow. Datadog uses each of these non-GAAP financial measures internally to understand and compare operating results across accounting periods, for internal budgeting and forecasting purposes, for short- and long-term operating plans, and to evaluate Datadog's financial performance. Datadog believes they are useful to investors, as a supplement to GAAP measures, in evaluating its operational performance, as further discussed below. Datadog's non-GAAP financial measures may not provide information that is directly comparable to that provided by other companies in its industry, as other companies in its industry may calculate non-GAAP financial results differently, particularly related to non-recurring and unusual items. In addition, there are limitations in using non-GAAP financial measures because the non-GAAP financial measures are not prepared in accordance with GAAP and may be different from non-GAAP financial measures used by other companies and exclude expenses that may have a material impact on Datadog's reported financial results.

Non-GAAP financial measures should not be considered in isolation from, or as a substitute for, financial information prepared in accordance with GAAP. A reconciliation of the historical non-GAAP financial measures to their most directly comparable GAAP measures has been provided in the financial statement tables included below in this press release.

Datadog defines non-GAAP gross profit, non-GAAP gross margin, non-GAAP operating expenses (research and development, sales and marketing and general and administrative), non-GAAP operating income (loss), non-GAAP operating margin and non-GAAP net income (loss) as the respective GAAP balances, adjusted for, as applicable: (1) stock-based compensation expense; (2) the amortization of acquired intangibles; (3) employer payroll taxes on employee stock transactions; and (4) amortization of issuance costs. Datadog defines free cash flow as net cash provided by operating activities, minus capital expenditures and minus capitalized software development costs, if any. Investors are encouraged to review the reconciliation of these historical non-GAAP financial measures to their most directly comparable GAAP financial measures.

Management believes these non-GAAP financial measures are useful to investors and others in assessing Datadog's operating performance due to the following factors:

Stock-based compensation. Datadog utilizes stock-based compensation to attract and retain employees. It is principally aimed at aligning their interests with those of its stockholders and at long-term retention, rather than to address operational performance for any particular period. As a result, stock-based compensation expenses vary for reasons that are generally unrelated to financial and operational performance in any particular period.

Amortization of acquired intangibles. Datadog views amortization of acquired intangible assets as items arising from pre-acquisition activities determined at the time of an acquisition. While these intangible assets are evaluated for impairment regularly, amortization of the cost of acquired intangibles is an expense that is not typically affected by operations during any particular period.

Employer payroll taxes on employee stock transactions. Datadog excludes employer payroll tax expense on equity incentive plans as these expenses are tied to the exercise or vesting of underlying equity awards and the price of Datadog's common stock at the time of vesting or exercise. As a result, these taxes may vary in any particular period independent of the financial and operating performance of Datadog's business.

Amortization of issuance costs. In June 2020, Datadog issued $747.5 million of convertible senior notes due 2025, which bear interest at an annual fixed rate of 0.125%. Debt issuance costs, which reduce the carrying value of the convertible debt instrument, are amortized as interest expense over the term. The expense for the amortization of debt issuance costs is a non-cash item, and we believe the exclusion of this interest expense will provide for a more useful comparison of our operational performance in different periods.

Additionally, Datadog's management believes that the non-GAAP financial measure free cash flow is meaningful to investors because it is a measure of liquidity that provides useful information in understanding and evaluating the strength of our liquidity and future ability to generate cash that can be used for strategic opportunities or investing in our business. Free cash flow represents net cash provided by operating activities, reduced by capital expenditures and capitalized software development costs, if any. The reduction of capital expenditures and amounts capitalized for software development facilitates comparisons of Datadog's liquidity on a period-to-period basis and excludes items that management does not consider to be indicative of our liquidity.

Operating Metrics

Datadog's number of customers with ARR of $100,000 or more is based on the ARR of each customer, as of the last month of the quarter.

We define the number of customers as the number of accounts with a unique account identifier for which we have an active subscription in the period indicated. Users of our free trials or tier are not included in our customer count. A single organization with multiple divisions, segments or subsidiaries is generally counted as a single customer. However, in some cases where they have separate billing terms, we may count separate divisions, segments or subsidiaries as multiple customers.

We define ARR as the annualized revenue run-rate of subscription agreements from all customers at a point in time. We calculate ARR by taking the monthly recurring revenue, or MRR, and multiplying it by 12. MRR for each month is calculated by aggregating, for all customers during that month, monthly revenue from committed contractual amounts, additional usage, usage from subscriptions for a committed contractual amount of usage that is delivered as used, and monthly subscriptions. ARR and MRR should be viewed independently of revenue, and do not represent our revenue under GAAP on a monthly or annualized basis, as they are operating metrics that can be impacted by contract start and end dates and renewal rates. ARR and MRR are not intended to be replacements or forecasts of revenue.

Contact Information
Yuka Broderick
Datadog Investor Relations
IR@datadoghq.com

Dan Haggerty
Datadog Public Relations
Press@datadoghq.com

Datadog is a registered trademark of Datadog, Inc.

All product and company names herein may be trademarks of their registered owners.

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SOURCE Datadog, Inc.