1 April 2026

Capital Markets

Capital Markets

The Software
Selloff

The Software
Selloff

The Software
Selloff

The Software
Selloff

The market erased $285 billion from software valuations in 48 hours. It treated the entire sector as if it were composed of project management tools. It was not a correction. It was a conflation.

The market erased $285 billion from software valuations in 48 hours. It treated the entire sector as if it were composed of project management tools. It was not a correction. It was a conflation.

-24%

iShares Software ETF year-to-date return, 2026

23%

Gross retention of AI-native products under $50/month

The February repricing had a specific catalyst and a specific thesis. In 48 hours, roughly $285 billion was erased from software market capitalisations. Intuit shed 16% in a single session. Adobe and Salesforce each lost over 11%. The iShares Expanded Tech-Software ETF is down over 24% year to date.

The February repricing had a specific catalyst and a specific thesis. In 48 hours, roughly $285 billion was erased from software market capitalisations. Intuit shed 16% in a single session. Adobe and Salesforce each lost over 11%. The iShares Expanded Tech-Software ETF is down over 24% year to date.

The market treated the entire software sector as if it were composed of project management tools. It was not a correction. It was a conflation.

-24%

-24%

iShares Software ETF YTD return, 2026

iShares Software ETF YTD return, 2026

4.2x

4.2x

Sector EV/Sales multiple, compressed from 5.6x

Sector EV/Sales multiple, compressed from 5.6x

23%

23%

Gross retention of AI-native products under $50/month

Gross retention of AI-native products under $50/month

90%

90%

Gross retention of B2B SaaS incumbents

Gross retention of B2B SaaS incumbents

The Fear

The Fear

Jefferies analyst Brent Thill downgraded Workday and DocuSign on the same day, not on macroeconomic grounds but on a precise structural argument: AI agents can now perform the tasks that previously required human knowledge workers. If companies deploy fewer people, they purchase fewer software seats. If they purchase fewer seats, the per-seat revenue models underpinning a decade of SaaS valuations are architecturally fragile.

EV/Sales multiples across the sector compressed from 5.6x at end-2025 to 4.2x by mid-March. The S&P North American Software Index traded below 20x forward earnings for the first time on record, against a long-term average of 34x. Mentions of agentic AI on earnings calls doubled quarter on quarter as management teams addressed what had become an unavoidable investor question.

The boardroom accelerant was Klarna. When the CEO announced the company would halve its workforce, cancel 1,200 SaaS subscriptions, and replace the enterprise software stack with internally built AI, every CFO in the developed world received a forwarded copy within the week.

The boardroom accelerant was Klarna. When the CEO announced the company would halve its workforce, cancel 1,200 SaaS subscriptions, and replace the enterprise software stack with internally built AI, every CFO in the developed world received a forwarded copy within the week.

The story became shorthand for a thesis the market had been building toward for months: that the software infrastructure assembled over two decades of cloud adoption was about to be dismantled at the same pace it was built. Seat-based pricing as a standalone model has already fallen from 21% to 15% of the market in a single year, while hybrid usage-based models have grown from 27% to 41%. For companies whose growth narrative was built on headcount-linked seat expansion, the structural pressure is real. The market is not irrational to price it in.

Where the selloff becomes indiscriminate is in what it chose not to distinguish.

Are the Fears Founded?

Are the Fears Founded?

Gross retention across B2B SaaS remains approximately 90% and median net revenue retention sits at 106%, according to Bain and Wudpecker's 2025 benchmarks. Installed bases have held even as sentiment collapsed. More striking is the data on the supposed replacements.

ChartMogul analysed 3,500 software companies and found that AI-native products priced under $50 per month carry gross retention of just 23% and net revenue retention of 32%. The category the market fears has dramatically worse unit economics than the category it fears for. Low-priced AI products are easy to buy and easier to cancel.

Retention Rate Comparison by Segment

GRR = Gross Revenue Retention  ·  NRR = Net Revenue Retention  ·  Sources: SaaS Capital 2025, Bain & Co. 2026, Wudpecker 2025, ChartMogul 2025 (n=3,500)

Regulated Enterprise SaaS
Gross Retention
98%
Net Revenue Retention (NRR)
118%
Mid-Market Point Solutions
Gross Retention
86%
Net Revenue Retention (NRR)
96%
AI-Native "Wrappers"
Gross Retention (Month 6)
45%
Net Revenue Retention (NRR)
32%

The Klarna story also has a second chapter that received considerably less coverage. By mid-2025 the CEO had publicly acknowledged the strategy had overreached, quality had deteriorated across customer-facing operations, and the company had begun rehiring, explicitly stating that "investing in the quality of human support is the way of the future." The most cited evidence for AI replacing enterprise software turned out to be a case study in its limits.

AI capex deteriorating to the point of weak ROI and unsustainable growth, while simultaneously AI adoption will be so pervasive that long-standing software workflows become obsolete. Both outcomes cannot occur at once.

AI capex deteriorating to the point of weak ROI and unsustainable growth, while simultaneously AI adoption will be so pervasive that long-standing software workflows become obsolete. Both outcomes cannot occur at once.

Vivek Arya  ·  Senior Analyst, Bank of America Global Research

Vivek Arya  ·  Senior Analyst, Bank of America Global Research

The categories that are genuinely at risk are identifiable. Low switching costs, task-level workflows, limited data moats, and pricing at a level where AI alternatives are economically competitive: project management tooling, basic CRM, scheduling, and document generation sit squarely in this bucket. The Jefferies thesis applies to them. The question is whether it applies to everything else the market has sold off, and the evidence says it does not.

Our View

Our View

The selloff has priced the entire software sector as if it were composed of project management tools. It has not distinguished between the categories genuinely at risk and those where the underlying investment thesis is arguably getting stronger.

The market has already differentiated. The selloff has not.

The market has already differentiated. The selloff has not.

Software Equity Group's 2026 Annual SaaS Report, which tracks over 100 publicly traded SaaS companies, shows a category-by-category split that the aggregate selloff has obscured.

EV/Revenue Multiple by SaaS Category

SEG SaaS Index, 100+ public SaaS companies  ·  Source: SEG 2026 Annual SaaS Report

Analytics & Data Management
8.8x
8.8x
+11% YoY
DevOps & Engineering
8.0x
8.0x
Premium
ERP & Finance
7.5x
7.5x
Premium
Cybersecurity
7.0x
7.0x
Premium
Healthcare IT / Vertical SaaS
6.0x
6.0x
Mid-tier
Sales & Marketing Automation
3.5x
3.5x
Compressed

Analytics and Data Management was the only category to expand its multiple in 2025, up 11% year on year. DevOps, ERP, and Security all held premium multiples. Sales and marketing automation trades at a dramatically compressed multiple. The market, looking at individual categories, has already made this distinction. The selloff treated the entire sector as if it were the compressed bucket.

Systems of record have structural switching costs that no agent can override.

Systems of record have structural switching costs that no agent can override.

The distinction worth holding is between software that records, governs and enforces versus software that facilitates workflow. ERP, core financial systems, compliance infrastructure, cybersecurity, legal and healthcare data management are what AI agents operate on top of, not what they replace. No agent replaces an audit trail.

EV/Revenue Multiple by SaaS Category

SEG SaaS Index, 100+ public SaaS companies  ·  Source: SEG 2026 Annual SaaS Report

5–10yr

Average ERP
replacement cycle

9–18mo

Typical migration
duration

$450K

Average total implementation
cost (Panorama, n=500+)

These are not decisions that respond to a new AI product being released. They are multi-year programmes with significant organisational risk attached to failure. SaaS Capital's 2025 retention data makes the correlation explicit: higher annual contract value correlates directly with higher gross retention. Enterprise SaaS carries NRR of 115 to 125%. The cohort that is structurally defensible has been repriced alongside the cohort that is structurally exposed.

AI increases the budget for the most defensible SaaS category.

AI increases the budget for the most defensible SaaS category.

Cybersecurity is the category where the AI disruption narrative inverts entirely. Gartner projects global information security spending of $240 billion in 2026, up 12.5% from $213 billion in 2025, which itself was up from $193 billion in 2024. AI-enabled attack activity increased 72% in 2025, according to Splunk's 2026 IT Spending report.

Global Information Security Spending

USD billions  ·  Security software subsegment highlighted  ·  Source: Gartner, July 2025

The technology the market is blaming for disrupting SaaS is simultaneously expanding the addressable budget of the software category most resistant to disruption. Security software is the fastest-growing subsegment, projected to rise from $95 billion in 2024 to $121 billion by 2026.

The largest software operator in private equity contradicts the narrative with its own data.

The largest software operator in private equity contradicts the narrative with its own data.

Thoma Bravo is the world's largest software-focused investment firm, with over $181 billion in assets under management and a portfolio of over 75 companies generating $30 billion in annual revenue. Developer headcount across that portfolio is flat year on year. Productivity is measurably higher: more product shipped, faster iteration, lower marginal cost per feature. For these companies, AI is an input cost reduction and a feature acceleration mechanism, not a replacement for the product.

Orlando Bravo publicly described the sector decline as presenting rare acquisition opportunities. His firm has operated through the dot-com collapse, the 2008 financial crisis, and the 2022 rate-driven multiple compression. Bravo's bullish current posture is not a defence of legacy positions. It is a new call, made with full knowledge of the difficulty of recent vintages.

Orlando Bravo publicly described the sector decline as presenting rare acquisition opportunities. His firm has operated through the dot-com collapse, the 2008 financial crisis, and the 2022 rate-driven multiple compression. Bravo's bullish current posture is not a defence of legacy positions. It is a new call, made with full knowledge of the difficulty of recent vintages.

Vertical SaaS is outperforming, not underperforming.

Vertical SaaS is outperforming, not underperforming.

The top quartile of the SEG SaaS Index delivered approximately 6% year on year gains in 2025, against a broader index that declined. Vertical SaaS companies are growing 2 to 3 times faster than traditional horizontal SaaS, according to SaaStr's analysis of the category. The healthcare IT, legal, and financial services software companies that have been repriced alongside Workday are operating in a categorically different risk environment.

The properties that made SaaS attractive as a category were sticky recurring revenue, capital-light operating models, and unit economics that scaled without proportional cost growth. None of those properties have changed for the companies that earned them through genuine product depth, data accumulation, and workflow integration. What has changed is that the market has re-examined the entire category through the lens of its most exposed subcategory and applied a uniform discount.

The Selloff in Numbers

$285B

Erased from software market capitalisations in 48 hours

-16%

Intuit single-session decline, February 2026

20x

S&P North American Software Index forward earnings, first time below this level on record

Categories at Genuine Risk

  • Project management tooling with low switching costs and task-level workflows

  • Basic CRM with no vertical depth or data moat

  • Scheduling and document generation tools priced where AI alternatives compete directly

  • Sub-$3M ARR operators unable to absorb AI development costs

Categories Where Thesis Strengthens

  • ERP and financial compliance systems that enforce regulatory workflow

  • Cybersecurity platforms where AI attack activity expands the addressable budget

  • Healthcare IT governed by HIPAA, CMS, and ONC requirements

  • Legal and professional services SaaS with 25+ years of privileged data access

  • Vertical SaaS with audit trail and certification depth no model can replicate

The Klarna Correction

  • Klarna CEO announced workforce halved and 1,200 SaaS subscriptions cancelled

  • By mid-2025: quality deteriorated, company began rehiring

  • CEO stated "investing in the quality of human support is the way of the future"

  • The most cited evidence for AI replacing enterprise software became a case study in its limits

The Micro-Cap Verdict

Six Conditions That Define a Coverage Desert Company

What Separates This From Everything Else

The most credible rebuttal to the AI displacement narrative does not come from macro analysis, it comes from the companies themselves. A systematic review of recent 10-K filings, earnings calls, and management commentary across each major subgroup reveals a consistent pattern: the most defensible operators frame AI as an accelerant, not a threat to be contained.

The most credible rebuttal to the AI displacement narrative does not come from macro analysis, it comes from the companies themselves. A systematic review of recent 10-K filings, earnings calls, and management commentary across each major subgroup reveals a consistent pattern: the most defensible operators frame AI as an accelerant, not a threat to be contained.

01  ·  Analytics & Data Management

01  ·  Analytics & Data Management

The only SaaS subcategory to expand its EV/Revenue multiple in 2025, up 11% year-on-year per the SEG SaaS Index, analytics and data management companies have largely reframed the AI threat as an AI tailwind. Institutional data is governed by regulation, auditable by law, and processed in volumes that require systematic infrastructure. An LLM does not replace a reconciliation engine. It works on top of one.

Clearwater Analytics

NYSE: CWAN

Investment Management SaaS  ·  ~$5.2B Market Cap

AI Accelerant

"Our generative AI deployment is not a cost centre, it is how we are reaching 2027 gross margin targets two full years ahead of schedule."

"Our generative AI deployment is not a cost centre, it is how we are reaching 2027 gross margin targets two full years ahead of schedule."

CEO Sandeep Sahai, Q3 2025 Earnings Call  ·  CWAN 10-K FY2025 (Filed February 2026)

CEO Sandeep Sahai, Q3 2025 Earnings Call  ·  CWAN 10-K FY2025 (Filed February 2026)

Clearwater manages over $10 trillion in institutional assets across its single-instance, cloud-native platform. In 2025, it deployed 800+ AI agents across its investment operations suite, reporting 90% reductions in manual reconciliation time, 80% faster regulatory reporting, and 50% faster financial close cycles for clients. Q3 2025 revenue grew 77% year-on-year, with gross margins of 78.5%. The company's 2025 acquisitions of Enfusion ($1.4B) and Beacon Platform ($488M) extended its front-to-back platform, deepening integration across the investment management workflow and raising the cost and complexity of competitive displacement.

77%

Revenue Growth Q3 2025

800+

AI Agents Deployed

78.5%

Gross Margin (Core)

$10T+

Assets Under Management

02  ·  Healthcare IT & Vertical SaaS

02  ·  Healthcare IT & Vertical SaaS

Vertical SaaS companies serving regulated industries represent perhaps the most structurally misunderstood category in the current selloff. Their moats are not primarily technological. They are regulatory. The workflows they support are subject to HIPAA, FDA Part 11, ONC rules, FINRA requirements, and bar association mandates. No foundation model generates a GxP-validated audit trail. No AI agent passes a healthcare payer integration audit on its own.

Phreesia

NYSE: PHR

Healthcare Access & Patient Engagement  ·  ~$1.5B Market Cap

AI as Margin Lever

"We have more recently identified significant opportunities to reduce our reliance on manual processes across Phreesia through the adoption of artificial intelligence. Initially, we expect to see efficiencies in our utilization of outsourced resources."

"We have more recently identified significant opportunities to reduce our reliance on manual processes across Phreesia through the adoption of artificial intelligence. Initially, we expect to see efficiencies in our utilization of outsourced resources."

Phreesia Q4 FY2026 Earnings Release, March 30, 2026

Phreesia Q4 FY2026 Earnings Release, March 30, 2026

Phreesia's platform was embedded in approximately 180 million ambulatory patient visits in FY2026, roughly one in six visits in the United States. Its 10-K describes a $24 billion total addressable market. The company achieved its first net income positive quarter in Q2 FY2026. Management's characterisation of AI is explicit: it is an efficiency mechanism that reduces dependence on manual labour and outsourced resources, not a competitor to the platform itself. The regulatory constraints governing every element of Phreesia's workflow ensure that any AI applied within healthcare access must be deployed on top of certified infrastructure.

180M

Annual Patient Visits

$127M

Q4 FY2026 Revenue (+16% YoY)

$24B

Total Addressable Market

Intapp

NASDAQ: INTA

Professional Services Vertical SaaS  ·  ~$3.2B Market Cap

AI as Upsell Layer

"We are pleased to start the fiscal year announcing further growth in our generative AI offerings. New capabilities for Intapp Time use GenAI to help firms maximize revenue and automate compliant timekeeping."

"We are pleased to start the fiscal year announcing further growth in our generative AI offerings. New capabilities for Intapp Time use GenAI to help firms maximize revenue and automate compliant timekeeping."

CEO John Hall, Q1 FY2026 Earnings, November 2025

CEO John Hall, Q1 FY2026 Earnings, November 2025

Intapp serves 95 of the Am Law 100 law firms, 16 of the top 20 accounting firms, and over 1,700 private capital and investment banking firms. Its FY2025 10-K frames competitive advantage as stemming from 25 years of operating experience and "privileged, difficult-to-replicate access to the world's leading firms." Cloud ARR reached $383M as of June 2025, up 29% year-on-year, with a trailing twelve-month cloud NRR of 120%. Intapp's own 2025 Technology Perceptions Survey found 72% of professionals now use AI at work (up from 48% in 2024), but half use tools not authorised by their firm, creating a compliance risk that only governed, integrated platforms like Intapp can resolve.

120%

Cloud Net Revenue Retention

29%

Cloud ARR Growth YoY

2,700+

Clients

03  ·  ERP & Finance

03  ·  ERP & Finance

The ERP and financial compliance software category presents the clearest case for structural insulation. These systems do not merely process transactions, they enforce the rules under which transactions are permitted to occur. An AI agent operating within an enterprise environment operates on top of these systems of record. It does not replace them.

Alkami Technology

NASDAQ: ALKT

Digital Banking Platform  ·  ~$3.4B Market Cap

Regulatory Moat Intact

"The pace of AI disruption will be relentless, and for a specialized vertical software provider in a highly regulated industry like Alkami, it will create new opportunities."

"The pace of AI disruption will be relentless, and for a specialized vertical software provider in a highly regulated industry like Alkami, it will create new opportunities."

CEO Alex Shootman, Q4 2025 Earnings Call, February 26, 2026

CEO Alex Shootman, Q4 2025 Earnings Call, February 26, 2026

Alkami's 10-K articulates a regulatory moat with unusual specificity. Its platform embeds "thousands of regulatory requirements, including KYC, AML, OFAC, Reg E, D, and Z, audit logging, examiner workflows, data retention, and explainability requirements" directly into the digital banking product. Clients sign 5 to 7 year contracts, and the implementation process alone spans 9 to 12 months. The company reported that its AI-powered Segment data analytics product was attached to all but two new logo deals in 2025, and that its AI-driven fraud detection module was attached to 67% of new logos. Alkami ended 2025 with $480M ARR, up 35%, and an additional $71M in implementation backlog.

35%

ARR Growth FY2025

5-7yr

Typical Contract Length

67%

New Logos with AI Fraud Module

$480M

Annual Recurring Revenue

Vertex, Inc.

NASDAQ: VERX

Indirect Tax Compliance  ·  ~$3.8B Market Cap

Complexity is the Product

"The adoption of tax automation solutions is growing substantially as businesses face increasing compliance complexity associated with eCommerce and SaaS growth, cross-border trade and a patchwork of new tax regulations."

"The adoption of tax automation solutions is growing substantially as businesses face increasing compliance complexity associated with eCommerce and SaaS growth, cross-border trade and a patchwork of new tax regulations."

Vertex/Kintsugi Strategic Investment Announcement, April 30, 2025; Vertex 10-K FY2025

Vertex/Kintsugi Strategic Investment Announcement, April 30, 2025; Vertex 10-K FY2025

Vertex's business case rests on a counterintuitive proposition: the more complex the global tax landscape becomes, the more indispensable its platform becomes. Its FY2025 10-K notes 4,867 direct customers, e-invoicing coverage across 38 countries, and expanding AI-driven products. The company invested $10 to $12 million in AI technologies in 2025 and committed a further $15 million strategic investment in Kintsugi, an AI-native tax compliance startup, securing commercial arrangement and IP sharing rights that extend Vertex's market coverage without cannibalising its core enterprise base.

4,867

Direct Customers

38

Countries with e-Invoicing

$10-12M

AI Investment FY2025

04  ·  Cybersecurity

04  ·  Cybersecurity

Cybersecurity is the one SaaS category where the AI disruption narrative most visibly collapses under scrutiny. AI-enabled attack activity expanded 72% in 2025. The same tools being used to challenge SaaS incumbents are simultaneously expanding the attack surface that cybersecurity vendors are paid to defend. The result is an accelerating demand environment for security software, yet the public market has treated vulnerability management companies as if they face AI-driven obsolescence.

Tenable Holdings

NASDAQ: TENB

Exposure Management & Vulnerability Platform  ·  ~$2.8B Market Cap

AI Creates New Product Category

"Enterprises are turning to Tenable to move from reacting to risk to staying ahead of it. They are trusting our platform to deliver the visibility and context required to see and take action on threats before they strike."

"Enterprises are turning to Tenable to move from reacting to risk to staying ahead of it. They are trusting our platform to deliver the visibility and context required to see and take action on threats before they strike."

Co-CEO Mark Thurmond, Q3 2025 Earnings, October 29, 2025

Co-CEO Mark Thurmond, Q3 2025 Earnings, October 29, 2025

Tenable's response to AI disruption risk is to build AI disruption risk into its product. The company launched Tenable AI Exposure in late 2025, a comprehensive solution to "see, manage and control the risks introduced by generative AI," creating an entirely new revenue line predicated on the AI transition rather than threatened by it. Q3 2025 revenue grew 11% year-on-year to $252.4 million, with non-GAAP operating margin expanding 350 basis points year-over-year. The stock nonetheless trades approximately 49% below its 52-week high as of late March 2026, a dislocation that illustrates the market pricing in a generic AI risk discount rather than evaluating the company's actual exposure trajectory.

11%

Revenue Growth Q3 2025

+350bps

Non-GAAP Op. Margin Expansion

-49%

vs 52-Week High (Mar 2026)

The Conflation in Action

Qualys (QLYS), Rapid7 (RPD), and Tenable (TENB) declined 4.9%, 7.7%, and 8% respectively in a single session in March 2026 following Databricks' unveiling of a new AI data management product, a company that competes in a categorically different market segment. Investors applied a blanket AI risk discount to companies whose operating environment is made more demanding, not more dispensable, by AI proliferation.

05  ·  Sales & Marketing Automation

05  ·  Sales & Marketing Automation

This is the category where the AI displacement risk is most legitimate, and where the multiple compression to 3.5x EV/Revenue is most analytically defensible. Marketing automation point solutions with low ACV and limited integration depth are genuinely exposed to AI-native alternatives. However, the category is not monolithic. Platform-scale operators with deep customer data assets are using the same AI transition to expand wallet share, not retreat from it.

Braze

NASDAQ: BRZE

Customer Engagement Platform  ·  ~$3.6B Market Cap

AI Converted to Revenue

"Two-thirds of our customer base had already integrated AI features into their daily workflows, proving that the company's AI investments were generating immediate utility rather than vaporware hype."

"Two-thirds of our customer base had already integrated AI features into their daily workflows, proving that the company's AI investments were generating immediate utility rather than vaporware hype."

Braze Management, Q4 FY2026 Earnings Call, March 2026

Braze Management, Q4 FY2026 Earnings Call, March 2026

Braze's platform processed interactions with 7.2 billion monthly active users as of January 2025. The company's AI Decisioning Studio is structured as an incremental revenue layer, management explicitly guided for the Decisioning Studio to contribute approximately 2 percentage points to year-on-year revenue growth for the full fiscal year. The Board's concurrent authorisation of a $100M share repurchase programme signals management's conviction that the market is mispricing the company's AI monetisation trajectory. The critical distinction between Braze and the most exposed marketing SaaS operators is data depth: Braze ingests first-party behavioural data at the moment of user interaction, creating a proprietary training dataset that cannot be replicated by a general-purpose AI agent.

7.2B

Monthly Active Users on Platform

~2%

Incremental Rev from AI Studio

$100M

Share Repurchase Authorised

67%

Customers Using AI Daily

AI Displacement Risk Framework

Subgroup Scorecard: Regulatory Entrenchment, AI Dynamic, and Compression Risk

Tier

Analyst Coverage

Valuation Multiple

Opportunity

Analytics & Data Mgmt

High, regulated institutional data, audit-trail requirements

Accelerant, AI drives margin expansion (CWAN: +350bps)

Low

Cybersecurity

High, CISA, DORA, HIPAA, FedRAMP mandate platform use

Demand Driver, AI attacks expand the addressable budget

Medium

ERP & Finance

Very High, systems of record, SOX, tax law, KYC/AML

Complexity Amplifier, more regulation = more platform value

Low

Healthcare IT / Vertical

Very High, HIPAA, FDA Part 11, ONC, CMS reimbursement

Margin Lever, AI reduces internal costs, adds product tiers

Low

DevOps & Engineering

Medium, compliance/governance overlays are defensible; pure productivity tools are not

Mixed, AI copilots compress dev time but expand software volume

Medium

Sales & Marketing Auto.

Low, workflow-level, no regulatory anchor for most operators

Bifurcated, platform-scale data moats defensible; point solutions exposed

High

Time Horizon & Valuation Framework: 6, 12 & 24 Months

Six Conditions That Define a Coverage Desert Company

What Separates This From Everything Else

The thesis is not that the selloff was overdone. It is that it was indiscriminate, applied uniformly to a sector with highly non-uniform exposure. The catalysts for re-rating are distinct at each interval: near-term, evidence that AI is additive to unit economics; medium-term, category differentiation reflected in individual stock performance; long-term, premium multiples for companies that successfully embedded AI into their pricing architecture.

The thesis is not that the selloff was overdone. It is that it was indiscriminate, applied uniformly to a sector with highly non-uniform exposure. The catalysts for re-rating are distinct at each interval: near-term, evidence that AI is additive to unit economics; medium-term, category differentiation reflected in individual stock performance; long-term, premium multiples for companies that successfully embedded AI into their pricing architecture.

6 months, Q3 2026

Compression Persists; Select Outperformers Emerge

Broad SaaS multiple compression likely continues absent a clear macro catalyst. IGV index remains under pressure from rate environment and AI narrative overhang.

Watch: Analytics & Data Mgmt (CWAN, QLYS), companies demonstrating AI-driven gross margin expansion begin to re-rate relative to the index.

Catalyst risk: Any large-cap SaaS company reporting AI-related seat compression in earnings calls accelerates the selloff for the entire sector regardless of individual company exposure.

M&A signal: Domo (DOMO) exploring strategic alternatives as a bellwether, private equity bid activity could reset floor multiples for the micro-cap segment.

Cybersecurity companies (TENB, QLYS, RPD) remain structurally mispriced at 40–49% below 52-week highs while Gartner projects 12.5% spending growth to $240B in 2026.

12 months, Q2 2027

Category Differentiation Priced; AI Monetisation Validated

Regulatory complexity continues escalating globally, DORA, EU AI Act enforcement, U.S. state privacy laws, expanding the addressable market for compliance SaaS operators.

Key inflection: Companies with demonstrated AI-to-revenue conversion (Braze's 2% incremental contribution, Intapp's GenAI time-keeping upsell, Alkami's AI module attach rates) begin commanding multiple premiums to peers.

Healthcare IT likely outperforms as Phreesia Voice AI and similar capabilities shift from free-trial to billable tiers, driving NRR expansion above current 106% median.

ERP & Compliance SaaS (VERX, ALKT, PAYC) trade on demonstrated retention data, 91%+ gross retention figures re-establish category credibility with value-oriented institutions.

Sales & Marketing: bifurcation complete, platform-scale operators (BRZE, CXM) recover toward 5–6x; point solutions face sustained pressure or strategic exit.

24 months, Q2 2028

AI-Native Pricing Architecture Determines Long-Term Winners

Companies that shifted pricing to outcome- or consumption-based AI tiers, supplementing or replacing seat-count models, trade at 6–9x revenue multiples vs. 3–4x for seat-model holdouts.

Private equity acceleration: Thoma Bravo, Vista, and Francisco Partners have the capital and mandate to acquire mispriced defensible SaaS operators. Take-privates reset public market floor multiples across the sector.

NRR recovery: The defensible cohort's NRR is projected to recover toward 115–120% as AI features drive upsell. The median of 106% in 2025 reflects a trough, not a new equilibrium, for the highest-quality operators.

Residual risk concentrates in: pure workflow automation with no regulatory anchor, horizontal CRM with no vertical depth, and sub-$10M ARR operators unable to absorb AI development costs.

Vertical SaaS multiples (Healthcare IT, Legal Tech, Financial Services) likely re-establish 7–10x EV/Revenue as the category's structural growth rate of 2–3x the horizontal SaaS average becomes consensus.

The companies most likely to re-rate are not those that have avoided AI. They are those that have made AI inseparable from what they already sell, embedding it into products that cannot be legally replaced, operationally bypassed, or contractually exited without multi-year disruption to the customer's core operations.

The companies most likely to re-rate are not those that have avoided AI. They are those that have made AI inseparable from what they already sell, embedding it into products that cannot be legally replaced, operationally bypassed, or contractually exited without multi-year disruption to the customer's core operations.

Altuva Group · April 2026

Altuva Group · April 2026

The
Opportunity

The market, for the moment, disagrees. That disagreement is the opportunity.

The strongest enterprise software companies are not fighting AI from a defensive position. They are deploying it internally to improve margins, externally to expand product capability, and commercially to introduce new pricing tiers that monetise AI features. For those companies, the original thesis is not under pressure. It is being reinforced.


That conflation creates the kind of pricing dislocation worth paying attention to. The market has repriced the defensible alongside the exposed. For those willing to make that distinction, the disagreement between what the market is pricing and what the evidence shows is the opportunity.

Sources & Footnotes

  1. BlackRock iShares IGV fund page. NAV as of March 26, 2026: YTD total return -24.53%.

  2. FinancialContent / MarketMinute, "The SaaSpocalypse Deepens: Jefferies Downgrades Workday and DocuSign," February 23, 2026. Jefferies analyst Brent Thill, Buy to Hold, citing AI seat compression.

  3. FinancialContent / MarketMinute, "The Great SaaS Reset: B2B Software Equities Plunge 25%," March 26, 2026.

  4. Taskade, "SaaSpocalypse Explained," March 2026.

  5. Growth Unhinged, "2025 State of B2B Monetization Report," as cited in Pilot.com, "The New Economics of AI Pricing," July 2025.

  6. Bain & Company, "Why SaaS Stocks Have Dropped," February 2026 (gross retention ~90%); Wudpecker, "Retention Benchmarks for B2B SaaS in 2025" (median NRR 106%).

  7. ChartMogul, "The SaaS Retention Report: The AI Churn Wave," 2025. Analysis of approximately 3,500 software companies.

  8. CEO Sebastian Siemiatkowski, Bloomberg interview, May 2025. Reported by Entrepreneur (May 9, 2025) and Fortune (May 9, 2025).

  9. Bank of America Global Research note, analyst Vivek Arya, February 4, 2026. Reported by Fortune, "The tech stock free fall doesn't make any sense, BofA says," February 4, 2026.

  10. SEG 2026 Annual SaaS Report. Analysis of 100+ publicly traded SaaS companies in the SEG SaaS Index. Analytics & Data Management expanded 11% YoY. Top quartile: +6% YoY vs broader index decline.

  11. NetSuite, "Top 8 Signs It's Time to Switch ERP Systems," 2025.

  12. Cloud Consultings, "ERP Migration Guide," 2025 ($150K–$750K range, 9–18 months). Panorama Consulting 2025 ERP Report (avg cost $450,000, n=500+).

  13. SaaS Capital, "What is a Good Retention Rate for a Private SaaS Company in 2025," September 2025.

  14. Gartner, "Gartner Forecasts Worldwide End-User Spending on Information Security to Total $213 Billion in 2025," July 2025. 2026 figure = Gartner projection.

  15. Splunk, "2026 IT Spending and Budget Forecasts," January 2026.

  16. Thoma Bravo website ($181B AUM as of December 31, 2025); Private Equity Insights, "Thoma Bravo raises $34.4bn," June 2025. Developer productivity data: Orlando Bravo, CNBC interview with Leslie Picker, March 17, 2026.

  17. Ctech, "The SaaS reckoning reaches private equity," February 2026.

  18. Wikipedia, "Thoma Bravo," citing Fortune analysis of PEI data. Funds 14 and 15: 4% and -2% IRR respectively.

  19. SaaStr, "The Vertical SaaS Gold Rush: Why Non-Tech B2B Is Growing 250%+ Faster," July 2025.

  20. Clearwater Analytics (CWAN) Q3 2025 Earnings Call, November 2025; CWAN 10-K FY2025, filed February 18, 2026; TIKR.com analysis, "Down 15% In Last 12 Months, Is Clearwater Analytics Stock A Good Buy In 2026?", February 19, 2026. Enfusion acquisition: $1.4B, April 21, 2025; Beacon Platform: $488M, April 30, 2025.

  21. Phreesia, Inc. Q4 FY2026 Earnings Press Release, BusinessWire, March 30, 2026. Revenue of $127.1M, +16% YoY. AI-driven internal efficiency commentary sourced directly from management statement in press release.

  22. Phreesia FY2026 Annual Report (10-K), filed with SEC. $24B TAM estimate: subscription ($6.3B), payments ($9.1B), Network Solutions remainder. 180M patient visits = ~one in six ambulatory visits in the U.S. AccessOne acquisition: healthcare payment financing capabilities. Market cap as of July 31, 2025 filing: $1.54B. Stocktitan.net summary, March 31, 2026.

  23. Intapp, Inc. (INTA) FY2025 Annual Report (10-K), filed August 12, 2025; Q1 FY2026 Earnings Release, November 4, 2025. Cloud ARR $383.1M as of June 30, 2025 (+29% YoY); cloud NRR 120%. FY2025 SaaS revenue $90.2M (+27% YoY). CEO John Hall quotation from Q1 FY2026 earnings press release.

  24. Intapp 2025 Technology Perceptions Survey, May 20, 2025. n=800+ fee earners across accounting, consulting, finance, and legal industries (U.S. and U.K.). 72% of professionals report using AI at work vs. 48% in 2024; 50% using AI tools not authorised by their firm.

  25. Alkami Technology, Inc. (ALKT) Q4 2025 Earnings Call transcript, February 26, 2026; ALKT 10-K FY2025, filed February 2026. CEO Alex Shootman quotations from earnings call transcript reported by Investing.com, February 26, 2026. ARR $480M (+35% YoY); backlog $71M. Alkami 5–7 year contract structure and regulatory requirements language sourced from 10-K, "Our clients' digital banking, deposit, and loan origination platforms embed thousands of regulatory requirements."

  26. Vertex, Inc. (VERX) 10-K FY2025, filed February 24, 2026 (Stocktitan.net summary). 4,867 customers; 38-country e-invoicing coverage; AI investment $10–12M in 2025. Kintsugi strategic investment: Vertex press release and GlobeNewswire, April 30, 2025. $15M investment, 10% ownership, IP sharing and commercial arrangement. Ainvest.com Vertex analysis, June 26, 2025.

  27. Paycom Software (PAYC) 10-K FY2025, filed February 19, 2026 (Stocktitan.net summary). Revenue retention 91%; ~39,200 clients. IWant AI engine described in FinancialContent / PredictStreet analysis, "The Paradox of Automation," December 22, 2025. NRR 111% figure: normalized calculation by NextGenInvestors, September 2024, comparing Paycom's Annual Revenue Retention Rate to NRR methodology.

  28. Tenable Holdings (TENB) Q3 2025 Earnings Release, October 29, 2025; Q2 2025 Earnings Release, July 30, 2025. Co-CEO Mark Thurmond and Steve Vintz quotations from official press releases filed as 8-K with SEC. Tenable AI Exposure product launch: Q3 2025 earnings release. Stock decline vs. 52-week high: StockStory/FinancialContent, March 24, 2026 (-48.8% from $36.78 high).

  29. Rapid7 (RPD) Q2 2025 Earnings Release (8-K), August 7, 2025. CEO Corey Thomas quotation from press release. Q4 2025 Seeking Alpha AI-generated earnings recap, February 10, 2026. Full-year 2025 ARR $840M; revenue $860M. 2026 guidance: $835–843M revenue.

  30. StockStory / FinancialContent, "Qualys, Rapid7, and Tenable Shares Plummet, What You Need To Know," March 24, 2026. Single-session declines: Qualys -4.9%, Rapid7 -7.7%, Tenable -8.0% following Databricks announcement. Qualys 52-week high: $153.80 (November 2025); trading at $92.18 as of late March 2026, -40.1%.

  31. Braze, Inc. (BRZE) FY2025 10-K, filed March 2025; Q3 FY2025 Earnings Call transcript, Investing.com, December 9, 2025 (AI Decisioning Studio 2% revenue contribution); ChronicleJournal / MarketMinute, "Braze Defies SaaSpocalypse," March 26, 2026 (Q4 FY2026 results, AI adoption rates, $100M buyback authorisation).

  32. Sprinklr, Inc. (CXM) Q4 FY2026 Earnings / CMSWire analysis, "Sprinklr Revenue Hits $857M as AI-Native CXM Bet Gains Traction," March 2026. Management commentary on consumer expectations, Aramex deployment statistics (90% automation, 1M+ agent hours saved). Sprinklr 10-K FY2026, filed with SEC.

  33. SaaS Capital, "SaaS Capital AI Update for 2025 Q1," March 26, 2025. Barbell dynamic sourced from this report. "Introducing the SaaS Capital AI Assessment Framework," 2025. Point solution risk and production-grade implementation complexity framework (the "final 20%" observation) sourced from Q1 2025 Update. Annual contract value correlation with AI risk: SaaS Capital AI Risk Framework, February 14, 2024.

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