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CrowdStrike, Carahsoft struck deal to sell software IRS didn’t buy

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Last fall, George Kurtz, the chief executive officer of CrowdStrike Holdings Inc., gave investors a quarterly financial update that sent shares soaring. Among the details Kurtz highlighted was a major deal to sell cybersecurity tools for use by the U.S. government.

“Identity threat protection wins in the quarter included an eight-figure total deal value win in the federal government,” Kurtz said on the earnings call after markets closed on Nov. 28, 2023.

Kurtz was referring to a $32 million order from Carahsoft Technology Corp., which serves as a middleman between technology companies and government agencies, that arrived on the last day of CrowdStrike’s fiscal third quarter. It was for identity threat protection software intended for the Internal Revenue Service, according to documents from both companies.

But the IRS never bought the software, according to records reviewed by Bloomberg News and people with knowledge of the situation.

Still, Carahsoft has been making on-time payments on the $32 million to CrowdStrike, according to the cybersecurity firm. When asked for comment by Bloomberg News, both companies explained that they had a “non-cancellable order” between them. They declined to say why that deal was struck without a purchase in place from the IRS. 

Some legal and accounting experts, who reviewed the arrangement at Bloomberg’s request, said it raises red flags that merit scrutiny from regulators. The deal also raised concerns within CrowdStrike — according to people familiar with the matter and the company itself — and many specifics of the transaction remain unclear.

Crowdstrike's offices in California
CrowdStrike’s offices in Sunnyvale, California.

Benjamin Fanjoy/Bloomberg

Depending on how CrowdStrike accounted for the deal in financial statements — the company didn’t explain those details — it was big enough that it could have made the difference between the company beating or missing Wall Street projections for the period. The day after CrowdStrike reported results for the record quarter, its shares rose 10%.

Jeremy Fielding, a spokesperson representing CrowdStrike, dismissed employees’ concerns as baseless and the order’s timing as insignificant. The Austin, Texas-based cybersecurity firm closes deals “throughout the quarter, starting the first day and often through the last day,” he said. 

“The Carahsoft deal went through a separate and extensive review,” he said, adding that it “was given a clean bill of health.” Fielding characterized the experts’ comments as “inaccurately speculating about a transaction that CrowdStrike confirmed fully met” an accounting standard on revenue from contracts. 

CrowdStrike “closed and recognized” the deal once Carahsoft placed the order, and its booking of the revenue is consistent with standard accounting principles, according to Thomas Clare and Elizabeth Locke, lawyers representing the cybersecurity company.

A representative of Carahsoft, Mary Lange, said in an email, “Carahsoft is a private company and we do not disclose financial information or customer details. That said, we placed a valid, non-cancellable order with CrowdStrike and stand by that transaction.” The company declined to answer any other questions.

The IRS didn’t answer detailed questions. The tax agency said in a statement that it doesn’t hold any contracts with CrowdStrike directly and, in keeping with federal procurement rules, acquires its software and services through third-party vendors.

No IRS contract or payments matching the deal appear in the public government spending database USASPENDING.gov. The database excludes some information — for instance, material that could compromise national security. But the tax agency’s purchases of CrowdStrike’s products through vendors total less than $10 million, according to a person familiar with the matter.

This story is based on records of the transaction and interviews with five people familiar with the matter, who requested that their names not be published because they aren’t authorized to discuss it.

“It raises an eyebrow,” said Lawrence Cunningham, director of the University of Delaware’s John L. Weinberg Center for Corporate Governance.

“It appears on its face to be uncompensated risk, and rational businesses don’t usually accept uncompensated risk,” Cunningham said, referring to Carahsoft’s payments to CrowdStrike.

Carahsoft declined to answer questions about whether it was taking a loss on the deal or if it found a way to recoup the money.

In recent months, separate issues at CrowdStrike and Carahsoft have drawn negative attention and government scrutiny.

CrowdStrike, with annual revenues of more than $3 billion, sells security software to thousands of businesses and government agencies globally. But in July, a flawed update from the firm knocked out millions of Windows computers around the world, disrupting air travel, medical care, banks and other businesses. Executives have apologized repeatedly, including before members of Congress; the company’s share price plummeted after the outage and hasn’t fully recovered.

Carahsoft is a dominant player among resellers and distributors that help technology companies navigate the complexities of selling to government agencies. In September, agents from the FBI and the Department of Defense searched the company’s Reston, Virginia, headquarters. Lange, the Carahsoft spokesperson, previously said the company was cooperating with the FBI probe and that it involved “an investigation into a company with which Carahsoft has done business in the past.” 

The Justice Department is also conducting a civil probe of Carahsoft and software giant SAP SE for potential price fixing on government contracts. The German firm is cooperating with the civil probe, a spokesperson said. SAP chief financial officer Dominik Asam told Bloomberg News that SAP had “gotten written assurance from Carahsoft” that the FBI search was “entirely unrelated” to SAP and a U.S. subsidiary.

There’s no known link between CrowdStrike and either the civil investigation or search of Carahsoft’s office. Fielding, the CrowdStrike representative, said neither investigation is connected to the cybersecurity company.

A potential deal for the IRS dates to early 2023, when CrowdStrike sales representatives began talking with agency officials about buying an identity verification tool to help prevent fraud in a new program that lets people file their taxes directly with the government, according to three people familiar with the matter.

Work continued on a potential deal in the following months, but by mid-October it had become clear to at least some CrowdStrike staff that the IRS wouldn’t order the software before the company’s quarter closed at the end of the month, the people said.

Nevertheless, on Halloween, Carahsoft ordered $32.25 million worth of subscription access to CrowdStrike’s “Government National Identity Threat Protection” service for as many as 40 million users, according to records and two of the people. The order split the purchase into four $8 million payments, with the final payment due at the end of this October. The order indicates that Carahsoft should be billed for the CrowdStrike software and that it should be shipped to the IRS’s Washington headquarters.

That day, CrowdStrike sent an automated email to dozens of staff, saying, “Opportunity has been Closed Won for Internal Revenue Service (IRS).”

The closing of the deal and Kurtz referring to it on the earnings call alarmed some staff who raised internal concerns that CrowdStrike was “pre-booking” a transaction that they viewed as incomplete because it was unclear whether the IRS would ever make the large purchase, according to three of the people. U.S. regulators have in some cases sued and fined companies over alleged pre-booking, also known as channel stuffing, claiming they misled investors by improperly recognizing revenue to inflate their financial figures.

Fielding said it was “demonstrably false” that there was any pre-booking.

That quarter, $32 million was enough to make the difference between CrowdStrike beating analysts’ expectations on two key financial metrics — annual recurring revenue and net new annual recurring revenue — or falling short of them. CrowdStrike highlighted both metrics in the earnings announcement for the quarter, but the company declined to answer questions about whether the deal was recorded under them.

Annual recurring revenue is widely used by software companies to track income from subscriptions. CrowdStrike has consistently emphasized it with investors, writing in a 2019 regulatory filing that it “is a key metric to measure our business.”

Theresa Gabaldon, a professor at the George Washington University Law School, said that for CrowdStrike to appropriately book the deal as revenue it would need to have not only received payment but also delivered the product. Neither CrowdStrike nor Carahsoft answered questions about what became of the subscription software.

“I characterize it as raising red flags,” Gabaldon, who teaches securities regulation, law and accounting, said of the deal.

Whatever happened, Carahsoft was among the companies that CrowdStrike feted at a June “partner symposium.” There, Kurtz and other CrowdStrike staff mingled with guests at a luxury resort on the southern California coast. A video shows attendees enjoying drinks and live string music on a bluff overlooking the Pacific Ocean and getting sushi-making lessons from a celebrity chef.

At the event, CrowdStrike named Carahsoft “Distributor of the Year.”

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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