Home / Themes / MegaTech '26: Anthropic Ecosystem

MegaTech '26: Anthropic Ecosystem (open on stockthemes)

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Theme thesis · 3/5 sections · Tickers 7 with notes · 3 pending

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Bull / Bear Details has the investment thesis and bull/bear points. Overview is monitoring guidance (hiring, forums, second-order trends, search keywords, Google Trends, datasets).

Bull / Bear Details

Software vendors embedding Claude into proprietary data, established workflows and industry-specific applications can convert improving AI capabilities into pai

Thesis

Software vendors embedding Claude into proprietary data, established workflows and industry-specific applications can convert improving AI capabilities into paid automation, stronger customer retention and additional distribution while preserving ownership of the customer relationship.

Bull case

  • Improving Claude reasoning and coding capabilities expand the tasks vendors can automate, increasing product utility and opportunities for premium pricing or usage-based revenue.

  • Proprietary content, enterprise permissions and workflow integrations differentiate specialized applications from general-purpose assistants and support customer retention.

  • Joint product development and distribution through Claude can accelerate adoption, shorten development cycles and introduce vendors to additional customers.

Bear case

  • Anthropic could expand directly into application workflows, weakening vendors' control of the customer interface and competing with existing software subscriptions.

  • Inference costs and implementation expenses could absorb incremental AI revenue, especially when vendors bundle capabilities without sufficient pricing power.

  • Multi-model architectures and low switching costs weaken exclusive exposure to Claude, while unreliable outputs or governance failures could delay commercial adoption.

Overview

Hiring Trend Watchpoints

High-performing operators in this theme exhibit distinct workforce evolutions: (1) Role Mix Shifts: Surging demand for protocol-level engineers, Model Context Protocol (MCP) server developers, and enterprise solutions architects capable of binding Claude to complex corporate data models, RBAC permissions, and multi-tenant systems. (2) Developer Automation and Engineering Discipline: Internal engineering headcounts are stabilizing or tilting sharply toward senior review and architecture roles, as internal adoption of Claude Code and agentic coding workflows compresses routine feature cycles. (3) GTM Adjustments: Expansion of technical post-sales engineers and consumption-focused customer success teams tasked with driving Flex Credit refills and token usage, replacing traditional volume seat sales reps. Confirmation signals: Sustained net hiring for forward-deployed AI architects, agent evaluation specialists, and governance/compliance officers matching accelerated agentic revenue. Deterioration signals: Blanket hiring freezes across enterprise integration teams, abrupt rehiring in tier-1 manual customer support (indicating agent workflow failures or unacceptable escalation rates), or senior AI engineering departures to foundation model providers.

Forum Watchlist

  • reddit — r/Anthropichigh

    Developer feedback on Claude reasoning updates, API latency, Model Context Protocol integration, and enterprise tooling reliability.

  • reddit — r/salesforcehigh

    Architect and admin sentiment regarding Claudeforce beta, Agentforce production deployments, headless API adoption, and Flex Credit consumption.

  • reddit — r/snowflakemedium

    Adoption velocity of Claude within Cortex AI, Snowflake Intelligence query latency, and enterprise data governance feedback.

  • forum — Model Context Protocol GitHub / Discordhigh

    Developer traction on MCP specifications, server implementations, security vulnerabilities, and cross-platform transport standards.

  • forum — Hacker Newsmedium

    Engineering sentiment on Claude Code efficiency, vendor lock-in risks, token caching economics, and multi-agent coordination frameworks.

Industry Publications

  • The New Stack (thenewstack.io) — Provides authoritative, code-level analysis of Model Context Protocol (MCP), agentic runtime architectures, and enterprise AI developer ecosystems.
  • VentureBeat AI (venturebeat.com) — In-depth tracking of enterprise generative AI adoption, foundation model partnerships, and Anthropic commercialization strategies.
  • InfoWorld (infoworld.com) — Technical evaluation of enterprise software platforms, cloud data integration, and production deployment of agentic systems.
  • CIO (cio.com) — Delivers strategic enterprise buyer perspectives on IT spending, software vendor ROI, and security/governance hurdles for AI agents.
  • SiliconANGLE (siliconangle.com) — Covers enterprise software conferences, data cloud developments, and vendor ecosystem integrations across Snowflake, Salesforce, and ServiceNow.

Second Order Trends

Several key second-order shifts are redefining the Anthropic ecosystem: (1) The Rise of Headless and Agent-First CRM/ERP: Products like Claudeforce ('Salesforce in Claude') reflect a strategic decoupling where the AI conversation acts as the primary user interface while the traditional software suite functions headlessly as the governed system of record, transitioning monetization from user seat licenses to headless API calls and Agentic Work Units (AWUs). (2) MCP Becoming Industry-Standard Middleware: The donation and rapid maturation of the Model Context Protocol (MCP) into a Linux Foundation open standard has mitigated single-vendor lock-in, yet enterprise deployment issues (e.g., cross-tenant tool authorization, secrets isolation) have opened a high-margin niche for security and governance middleware. (3) Hybrid Multi-Model Architectures for Margin Insulation: Software vendors are pairing Claude Sonnet/Opus for complex reasoning, planning, and coding with proprietary or open-source small language models (SLMs) for repetitive classification, insulating gross margins against token consumption spikes. (4) Change Management Outstripping Model Capabilities: Across legal, financial, and enterprise IT verticals, model reasoning is advancing faster than enterprise compliance departments can audit workflows, creating an execution wedge where vendors with 'fiduciary-grade' controls capture premium pricing over generic wrapper solutions.

Search Keywords Brand Product

  • Claude
  • Claudeforce
  • Agentforce
  • Snowflake Intelligence
  • Cortex AI
  • Cortex Code
  • Atlassian Rovo
  • Teamwork Graph
  • HubSpot Breeze
  • CoCounsel
  • Adobe Firefly
  • BASE44
  • Now Assist
  • Slackbot
  • Claude Code
  • Anthropic Claude ecosystem
  • enterprise AI agents
  • Model Context Protocol
  • agentic workflows
  • enterprise LLM integration
  • agentic systems of action
  • generative AI SaaS

Search Keywords Policy Regulatory

  • EU AI Act
  • Colorado AI Act
  • enterprise AI governance
  • frontier model safety standards
  • data sovereignty compliance

Search Keywords Event Phrases

  • Dreamforce
  • Snowflake Summit
  • Team 26 Amsterdam
  • Adobe MAX
  • Knowledge 2026
  • Anthropic Claude release

Google Trend Product Category Intent

• Claude for enterprise • Model Context Protocol tutorial • Agentforce Claude pricing • Snowflake Claude integration • Jira Rovo AI agent • Claude Code CLI

Google Trend Consumer Intent

• Claude AI subscription • how to use Claude in Salesforce • AI agent for customer service • Duolingo Max Claude • best enterprise AI models

Google Trend Macro Policy Terms

• AI safety regulations • EU AI Act enterprise rules • enterprise AI data privacy

Economic Data Watch

1. FRED — National Income and Product Accounts (NIPA)

Matchedfred · access=api · map_only

Metric/field Private Fixed Investment: Nonresidential: Intellectual Property Products: Software (B985RC1Q027SBEA)

Cadence monthly

Why it matters This metric directly reflects business investment in software, a core component of the market for companies embedding AI into their platforms. Stronger investment indicates higher demand for the solutions offered by the theme's constituents.

Signal to watch Sustained or accelerating growth indicates a strong enterprise spending environment for software and AI solutions.

Confidence: high

2. Trading Economics — China Mobile App Data

Not in registryaccess=scrape

Metric/field China Industrial Production

Cadence monthly

Why it matters As several constituents have significant operations or user bases in China (e.g., Duolingo's second-largest market), industrial production growth can signal overall economic health and business activity, impacting enterprise software and consumer spending in the region.

Signal to watch Consistent or accelerating growth in industrial production suggests a robust economic environment in China, potentially boosting demand for AI-powered enterprise solutions and consumer applications.

Confidence: high

3. FRED — University of Michigan: Consumer Sentiment Index

Matchedfred · access=api · map_only

Metric/field UMICH/CSC_M_SA

Cadence monthly

Why it matters Reflects consumer confidence in the US, which can influence discretionary spending on education subscriptions like Duolingo and consumer-facing AI-powered services from other theme constituents.

Signal to watch Increasing index indicates stronger consumer confidence, potentially leading to higher subscription uptake and engagement with consumer-focused AI products.

Confidence: high

4. FRED — Gross Domestic Product

Matchedfred · access=api · map_only

Metric/field GDPC1

Cadence monthly

Why it matters Overall economic health directly influences corporate spending on legal, regulatory, professional services, and software, impacting demand for the theme's offerings.

Signal to watch Sustained or accelerating GDP growth indicates a stronger enterprise spending environment, which is bullish for software vendors embedding AI.

Confidence: high

5. BLS — Job Openings and Labor Turnover Survey (JOLTS)

Not in registryaccess=api

Metric/field Job Openings: Information

Cadence monthly

Why it matters High job openings in the information sector (which includes software and IT services) suggest strong demand for skilled labor and, by extension, for automation and AI tools that can augment or replace certain tasks, benefiting the theme's constituents.

Signal to watch Increasing job openings in the information sector signal a robust demand for technology solutions and a potential driver for AI adoption to address labor needs.

Confidence: low

Free Alt Data Watch

1. Google Trends — Search Interest

Not in registry

Metric/field Search interest for 'Claude AI' (Worldwide, Past 90 days, Web Search)

Cadence daily

Why it matters Directly indicates public and professional interest in Anthropic's Claude AI, which is central to the theme's thesis of software vendors embedding Claude.

Signal to watch Rising search interest suggests increasing awareness and potential adoption of Claude-powered applications.

Confidence: medium

2. GitHub — Repository Activity

Not in registry

Metric/field Stars and Forks for 'Anthropic' related open-source projects

Cadence daily

Why it matters Developer activity and interest in Anthropic's open-source contributions or related projects can signal the health and growth of its ecosystem and potential for broader integration.

Signal to watch Increasing stars, forks, and contributions indicate growing developer engagement and a strengthening ecosystem around Anthropic's technologies.

Confidence: medium

3. SEC EDGAR — 8-K Filings

Not in registry

Metric/field Full-text search for 'Anthropic partnership' or 'Claude integration' for CRM, SNOW, INTU, NOW, TEAM, HUBS, ADBE, WIX, DUOL, TRI

Cadence event_driven

Why it matters 8-K filings often announce material events, including significant partnerships or product integrations, which would directly validate the theme's thesis.

Signal to watch Filings announcing new or expanded Anthropic/Claude partnerships or significant product integrations are bullish.

Confidence: high

4. Company Careers Pages (e.g., Salesforce, ServiceNow) — Job Postings

Matched (medium)engine_advertising_brand_tracking · access=file · map_only

Metric/field Number of open job postings for 'Anthropic AI Engineer' or 'Claude Developer' at constituent companies

Cadence weekly

Why it matters Hiring trends for specific AI expertise indicate internal investment and strategic focus on integrating Anthropic's models into their platforms.

Signal to watch Increasing job postings for Anthropic/Claude-related roles suggest deeper commitment and investment in the ecosystem.

Confidence: medium

5. Reddit — Subreddit Activity

Not in registry

Metric/field Post volume and sentiment in r/singularity, r/artificial, r/machinelearning mentioning 'Claude' or 'Anthropic'

Cadence daily

Why it matters Discussions on relevant subreddits can provide early indicators of developer and enthusiast sentiment, adoption challenges, or emerging use cases for Claude and Anthropic's technology.

Signal to watch Increased positive sentiment and discussion volume around practical applications or successful integrations are bullish. Negative sentiment or discussions about limitations are bearish.

Confidence: medium

Paid Alt Data Watch

1. SpendHound — B2B SaaS and AI Procurement Intelligence

Matched (medium)spendhound_b2b_saas_ai_vendor_spend · access=file · map_only

Metric/field Enterprise spending on 'Anthropic Claude API' or 'Anthropic services' by theme constituents

Cadence monthly

Why it matters Directly measures the actual spend by these companies on Anthropic's AI services, indicating the depth of their integration and consumption.

Signal to watch Increasing spend on Anthropic services by theme constituents is a strong bullish signal for the theme.

Confidence: high

2. Sensor Tower — App Usage and Downloads

Matched (medium)sensor_tower_mobile_app_downloads_usage · access=file · map_only

Metric/field Daily Active Users (DAU) and Monthly Active Users (MAU) for Duolingo, Wix, and Adobe apps (where AI features are prominent)

Cadence daily

Why it matters For consumer-facing constituents like Duolingo, Wix, and Adobe, app usage metrics directly reflect customer engagement and adoption of AI-powered features.

Signal to watch Sustained or accelerating DAU/MAU growth, especially linked to AI feature usage, indicates successful product-led growth and monetization.

Confidence: high

3. Revelio Labs — Jobs / Workforce

Matched (medium)revelio_labs_employee_workforce_profiles · access=file · map_only

Metric/field Employee count growth for 'AI/ML' roles specifically mentioning 'Natural Language Processing' or 'Large Language Models' at theme constituents

Cadence monthly

Why it matters Provides granular insight into the talent acquisition strategies of these companies, indicating their investment in developing and integrating advanced AI capabilities.

Signal to watch Accelerating hiring in relevant AI/ML roles suggests increased internal development and strategic focus on AI integration.

Confidence: high

4. Gartner Research — Market Share Reports for AI Software

Matchedgartner_vendor_market_share_data · access=file · map_only

Metric/field Market share changes for 'AI-powered CRM', 'AI-powered IT Service Management', 'AI-powered Creative Software' segments

Cadence irregular

Why it matters Gartner reports provide an independent assessment of market positioning and adoption trends for AI-powered software, directly relevant to the theme's constituents.

Signal to watch Constituents gaining market share in AI-powered segments are bullish.

Confidence: high

5. CloudPrice — Cloud / Compute Pricing

Matchedcloudprice_cloud_compute_pricing_technology · access=file · map_only

Metric/field Cost trends for 'GPU instances' and 'AI inference services' from major cloud providers (AWS, GCP, Azure)

Cadence daily

Why it matters Inference costs are a significant factor for AI-driven products, especially for companies like Duolingo. Monitoring these costs provides insight into potential margin pressures or efficiencies.

Signal to watch Decreasing or stable AI compute costs are bullish, indicating better profitability for AI-powered services. Rising costs are bearish.

Confidence: high

Prediction Market Watch

1. When will Anthropic release a personal AI agent? (Product feature rollout)

Kalshi · Confidence: high

Not in registryaccess=api

Market https://kalshi.com/markets/kxanthpersonalagent

Why it matters The release of a personal AI agent by Anthropic could significantly impact the competitive landscape and the value proposition of companies integrating Anthropic's models. It could either enhance the capabilities these companies offer, leading to increased adoption and monetization (bullish), or it could introduce direct competition, potentially weakening their control of the customer interface (bearish).

Series key pm_anthropic_personal_ai_agent_release

2. Which company has the best Text Arena Math AI model end of November?

Polymarket · Confidence: high

Not in registryaccess=api

Market https://polymarket.com/event/which-company-has-the-best-text-arena-math-ai-model-end-of-november

Why it matters Strong performance by Anthropic's AI models in key capabilities like math (which implies general reasoning improvements) would validate the 'improving Claude reasoning and coding capabilities' bull case for the theme. This could increase confidence in the value proposition of companies embedding Anthropic's AI, potentially leading to increased adoption and premium pricing for their AI-powered solutions.

Series key pm_anthropic_best_math_ai_nov

3. Which company has the best AI Agent end of October?

Polymarket · Confidence: high

Not in registryaccess=api

Market https://polymarket.com/event/which-company-has-the-best-ai-agent-end-of-october

Why it matters Anthropic's leadership in AI agent capabilities is a core driver for the 'MegaTech '26: Anthropic Ecosystem' theme. Superior performance in AI agents would directly support the bull case for software vendors embedding Claude, as it expands the tasks they can automate and increases product utility, potentially leading to premium pricing and usage-based revenue.

Series key pm_anthropic_best_ai_agent_oct

Theme Plain English
This theme captures enterprise software vendors and data platforms integrating Anthropic's Claude models and Model Context Protocol into mission-critical business workflows. By anchoring Claude's reasoning, coding, and steerability to proprietary customer records, system permissions, and domain data, these companies turn frontier AI into billable agentic automation. Rather than being disintermediated by general foundation models, ecosystem constituents monetize higher-tier subscriptions, headless API calls, and consumption credits while keeping ownership of enterprise customer relationships.
Upcoming Catalysts21 rows
Catalyst IDEstimated TimingEstimated Date StartEstimated Date EndCatalystWhy It MattersTicker Or Theme SpecificTranscript DateSource TypeCatalyst Source
CRM_0574a23dsecond half of FY '272026-08-012027-01-31Salesforce achieving organic revenue reacceleration as guided for the second half of fiscal year 2027.This is a critical management guidance metric. Achieving reacceleration would validate their strategy and execution, positively impacting revenue growth and investor sentiment.Ticker2026-05-27earnings_transcriptCRM (ticker)
INTU_82bd1b23as we look ahead2026-10-012027-04-30Intuit's evolution of its TurboTax DIY business model to deliver the right lineups and price points for the most price-sensitive filers (earning less than $50,000) and monetize beyond tax.This strategic shift aims to reaccelerate growth in the DIY segment, which faced pressure due to price sensitivity, and leverage the broader Consumer platform for monetization, impacting overall consumer segment revenue and market share. Success would be bullish, while failure to gain traction could be bearish.Ticker2026-05-20earnings_transcriptINTU (ticker)
INTU_b5af7b9dWe will also introduce a consumption-based model for our AI and human intelligence services2026-08-012026-12-31Introduction of a consumption-based model for Intuit's AI and human intelligence services.This new monetization model aims to enable customers to scale usage and unlock greater benefits, potentially driving new revenue streams and ARPU expansion, particularly among more complex customers. Successful adoption and revenue generation from this model would be bullish.Ticker2026-05-20earnings_transcriptINTU (ticker)
INTU_6385a20dAs we evolve our lineup with expanded functionality, we expect to take pricing actions at the higher end of our portfolio2026-08-012026-12-31Implementation of pricing actions at the higher end of Intuit's portfolio for businesses and accountants, reflecting increased value from expanded functionality.These pricing actions are expected to drive ARPU expansion and margin growth by monetizing the increased value delivered through the new platform capabilities. Successful implementation and customer acceptance would be bullish, while significant customer resistance could be bearish.Ticker2026-05-20earnings_transcriptINTU (ticker)
NOW_cac839cevery shortly, soon will be GA, in the weeks to come2026-10-152027-01-15General availability (GA) launch of new AI-native products, starting with a conversational service desk experience and AI-coded automation, targeting the Fortune 500,000.This represents a significant business model evolution and TAM expansion, with new AI-native offerings expected to drive substantial new revenue and competitive differentiation by replacing legacy solutions and bypassing startups.Ticker2026-07-22earnings_transcriptNOW (ticker)
NOW_330b8d99by the end of 20262026-10-012026-12-31Achievement of ServiceNow's updated 2026 AI Annual Contract Value (ACV) target of $1.5 billion, tracking ahead of the initial target.Exceeding this raised target would signal strong adoption and successful monetization of ServiceNow's AI offerings, reinforcing the bullish investment case for its AI-native platform.Ticker2026-07-22earnings_transcriptNOW (ticker)
NOW_b3861347by the end of 20262026-10-012026-12-31Achievement of over $1.5 billion in ServiceNow AI Annual Contract Value (ACV).Exceeding this target would demonstrate strong monetization and rapid adoption of ServiceNow's AI offerings, reinforcing the bullish case for AI-driven growth and platform stickiness.Ticker2026-07-22earnings_transcriptNOW (ticker)
NOW_e6ce8e31complete this cycle of 2026 and start 20272026-10-012027-01-01Completion of headcount rationalization post-acquisitions (Moveworks, Veza, Armis) to pre-acquisition levels.Achieving this would demonstrate strong operational discipline and integration efficiency, supporting margin expansion and the company's 'Rule of 60' target, reinforcing the bullish financial outlook.Ticker2026-07-22earnings_transcriptNOW (ticker)
TRI_80e1db95ahead of our Q3 report2026-10-012026-10-31Issuance of a schedule with restated historical results for Global Print as discontinued operations.This provides financial clarity for analysts to model the company's performance post-divestiture, supporting investor understanding of the strategic shift.Ticker2026-08-05earnings_transcriptTRI (ticker)
TRI_8afb5f7ethis fall2026-09-012026-11-30Launch of the agentic next-generation version of CoCounsel for tax and audit.This expands AI capabilities into another core segment, potentially driving growth and addressing go-to-market challenges previously mentioned in the Tax, Audit & Accounting segment.Ticker2026-08-05earnings_transcriptTRI (ticker)
GTLB_585b2c94beginning in Q32026-09-012026-11-30GitLab achieving stronger ramped sales capacity through increased headcount and overhauled territory design.This initiative is expected to have the "biggest immediate impact on FY '27" growth by improving coverage of existing customers and accelerating new logo acquisition, which is critical for reaccelerating revenue growth.Ticker2026-03-03earnings_transcriptGTLB (ticker)
GTLB_e06c9d4bcannot predict the likelihood or timing of when that may occur.2026-06-042028-03-03Deconsolidation of JiHu, GitLab's joint venture in China.Deconsolidation would remove JiHu's expenses (forecasted at $15 million for FY '27) from GitLab's financials, potentially improving operating margins and simplifying the company's structure.Ticker2026-03-03earnings_transcriptGTLB (ticker)
GTLB_213cf84emost of the benefit to land in the second half of the year2026-07-012026-12-31The benefits from FY '26 quota-carrying headcount investments and continued capacity growth are expected to materialize, leading to increased gross bookings.Increased sales capacity is crucial for driving first-order growth and expanding market share, directly impacting future bookings and revenue acceleration.Ticker2026-06-02earnings_transcriptGTLB (ticker)
GTLB_801f0e39over the following 3 quarters2026-08-012027-04-30GitLab expects to reinvest the vast majority of savings from its Act 2 restructuring into team members, architectural bets (R&D resources), and internal AI tooling.These investments are critical for accelerating the Act 2 strategy, delivering on architectural bets, and driving long-term durable growth and operating leverage, but also carry execution risk.Ticker2026-06-02earnings_transcriptGTLB (ticker)
GTLB_0b669629later this year2026-07-012026-12-31Zillow Group is expected to fully deploy GitLab Duo Agent platform across hundreds of developers, with the active user base projected to grow nearly 20x upon full deployment.This large-scale deployment by a top 10 U.S. bank serves as a significant proof point for DAP's effectiveness and scalability, potentially influencing other enterprise customers and driving future adoption and revenue.Ticker2026-06-02earnings_transcriptGTLB (ticker)
GTLB_131c48d9expect profitability to trough in Q3 due to timing of investments post restructuring2026-08-012026-10-31GitLab expects its non-GAAP operating income to reach its lowest point in Q3 FY27 due to the timing of investments following the Act 2 restructuring.This indicates a temporary dip in profitability as the company reallocates resources, which could impact short-term investor sentiment but is framed as necessary for long-term growth.Ticker2026-06-02earnings_transcriptGTLB (ticker)
GTLB_d337a21dthough we cannot predict the likelihood or timing of when that may occur.2026-06-042027-12-31GitLab's goal to deconsolidate JiHu, its joint venture in China.Deconsolidation could simplify GitLab's operational structure and financial reporting, potentially impacting its international strategy and investor perception of its global footprint. The uncertainty around timing makes it a potential overhang.Ticker2026-06-02earnings_transcriptGTLB (ticker)
INTA_2e7c1649as Celeste moves toward broader availability and into general availability2026-08-012026-10-31General availability launch of Celeste, Intapp's AI-native agentic platform designed specifically for professional firms.This milestone is expected to significantly expand Intapp's addressable market, enable new consumption-based pricing models, and strengthen its competitive position in the rapidly growing firm AI market, driving cloud growth and potentially capturing a larger share of overall personnel budgets.Ticker2026-05-05earnings_transcriptINTA (ticker)
SNOW_e0cf2535through March 20272027-03-012027-03-01Expiration of $4.5 billion share repurchase authorizationWith $1.3 billion remaining, the pace of buybacks impacts share count and reflects management's view on the stock's valuation and capital allocation priorities.Ticker2025-12-03SNOW (ticker)
CRM_f0e419cfin short order2027-05-272028-05-27Slack achieving $10 billion in annual revenue.This represents a major growth milestone for Slack, confirming its successful integration and expansion within Salesforce's portfolio, and would positively impact overall revenue and valuation.Ticker2026-05-27earnings_transcriptCRM (ticker)
CRM_1b0887faIn 2 years2028-05-272028-05-31Slack reaching a point where the number of AI agents using the platform surpasses the number of human users.This milestone would demonstrate a significant shift towards agentic enterprise operations, validating Slack's strategic importance and potentially leading to substantial growth in usage and monetization.Ticker2026-05-27earnings_transcriptCRM (ticker)

Constituents

  • CRMT2
    — Salesforce, Inc.
  • — Intuit Inc.
  • NOWT2
    — ServiceNow, Inc.
  • — Snowflake Inc.
  • TRIT2
    — Thomson Reuters Corporation
  • — GitLab Inc.
  • — Intapp, Inc.
  • APPFT3
    · no notes yet
  • ASANT3
    · no notes yet
  • ZMT3
    · no notes yet