Got $5,000? 3 Tech Stocks to Buy and Hold for the Long Term

Zscaler, a Zero Trust cybersecurity provider, more than doubled revenue to $2.2 billion and free cash flow to $585 million between FY2022–24 and reported Q1 FY2025 revenue up 26.4% to $628 million with bookings +30% and expanding high-value customers, while management points to a $96 billion addressable market and is integrating AI across its platform. Veeva Systems, a vertical SaaS for life sciences, grew revenue from $1.85 billion to $2.36 billion (FY2022–24), lifted net income and FCF materially, delivered ~17% revenue growth and $1 billion FCF in the first nine months of FY2025, and is deploying generative-AI features in Vault CRM against a stated $20 billion life-sciences TAM. Roblox is scaling engagement and monetization—DAUs +27% to 88.9 million, hours engaged +29% to 20.7 billion, Q3 revenue +29% to $919 million, bookings +34% and quarterly FCF rising to $218 million—as it pursues brand partnerships and marketer certification; together these companies represent security, vertical SaaS and platform-monetization plays benefiting from cloud and AI tailwinds, with differing maturity and risk profiles for investors.

Analysis

Zscaler reported revenue that more than doubled from $1.1 billion in fiscal 2022 to $2.2 billion in fiscal 2024 while free cash flow increased from $231.3 million to $585 million over the same period; Q1 fiscal 2025 revenue rose 26.4% year‑over‑year to $628 million, bookings grew 30%, quarterly FCF was $291.9 million (30% higher sequentially), and high‑value customer cohorts expanded (clients with ARR ≥$100k rose 17% to 3,165; ≥$1M customers rose 25% to 585). Management cites a $96 billion addressable market and is integrating AI across its Zero Trust Exchange, processing more than 500 billion transactions and 500 trillion signals daily, suggesting secular cybersecurity demand and AI enablement are primary growth drivers.

Veeva Systems demonstrated steady enterprise SaaS durability with revenue rising from $1.85 billion in fiscal 2022 to $2.36 billion in fiscal 2024, net income increasing to $525.7 million, and FCF growing to $885.1 million; through the first nine months of fiscal 2025 revenue was up ~17% to $2.0 billion, net income rose 37.1% to $518.5 million, and FCF reached $1.0 billion. Veeva has introduced generative‑AI features for Vault CRM and highlights a $20 billion life‑sciences TAM inside a $2 trillion industry with a 6% CAGR, underlining a clear vertical SaaS monetization runway.

Roblox is scaling engagement and monetization with revenue rising from $1.9 billion (2021) to $2.8 billion (2023), Q3 revenue up 29% to $919 million, bookings up 34% to $1.1 billion, quarterly FCF up to $218 million from $59.5 million, DAUs +27% to 88.9 million and hours engaged +29% to 20.7 billion; partnerships with WPP and brands aim to accelerate advertiser and marketer adoption. Overall sentiment in the coverage is moderately positive with limited immediate market impact, but execution risk and differing maturity profiles (cybersecurity enterprise sales, vertical SaaS renewal dynamics, platform monetization) remain the principal variables to watch.

Key Decisions for Investors

• Consider adding Zscaler on dips or sizing a conviction position if bookings and high‑value customer cohorts continue to accelerate, while monitoring quarterly FCF and bookings-to-revenue conversion as the primary execution gauges
• Favor Veeva as a high‑quality vertical SaaS compounder for core exposure given consistent revenue, net income and FCF expansion and a clear $20 billion TAM; monitor adoption metrics for Vault CRM Bot and life‑sciences spend trends
• Take a selective, smaller position in Roblox to play engagement and monetization upside given DAU and hours growth and rising bookings, but limit exposure until advertiser/brand monetization demonstrates sustained revenue per user improvements
• Across all three names, use position sizing and hedges to address idiosyncratic execution risk and track common indicators—bookings growth, FCF trajectory, high‑value customer ramp and AI feature adoption—as triggers for increasing or reducing exposure