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    Home » QARP Strategy Returned 24.4% in 2025: Finding Tomorrow’s Compounders Before Market Recognition
    Business

    QARP Strategy Returned 24.4% in 2025: Finding Tomorrow’s Compounders Before Market Recognition

    Samantha ColeBy Samantha ColeApril 22, 2026Updated:April 27, 2026No Comments5 Mins Read
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    A quality-first QARP/GARP blended strategy returned 24.4% in 2025, approximately 6 percentage points above the S&P 500. The outperformance came from identifying tomorrow’s compounders before the market repriced them.

    The strategy isn’t complex. It’s disciplined execution of proven frameworks.

    Table of Contents

    Toggle
    • The Screening Methodology
      • Why QARP/GARP Outperformed
    • Decade-Long Visibility
      • The Visibility Premium
    • The AI Compute Opportunity
      • The Valuation Arbitrage
    • Quality Growth at Reasonable Multiples
      • The Azure Comparison
    • Emerging Sector Winners
    • The Rerating Catalyst
    • Implementation Framework
    • The 2026 Setup

    The Screening Methodology

    Morningstar’s April 2026 screening methodology identified 10 undervalued dividend-growth stocks trading at meaningful discounts, predominantly in healthcare, consumer staples, and energy. These sectors lagged the AI-driven bull run.

    Finding tomorrow’s winners at today’s prices requires looking where others aren’t. Value investing strategies work best in overlooked sectors where quality businesses trade at discounts due to market rotation rather than fundamental deterioration.

    The sector concentration reveals opportunity:

    • Healthcare: demographic tailwinds, regulatory overhang creating discounts
    • Consumer staples: steady cash flows, boring narrative depressing multiples
    • Energy: transition uncertainty masking traditional cash generation

    These sectors lack AI hype. They generate actual earnings. The combination creates mispricing.

    Why QARP/GARP Outperformed

    Quality at a Reasonable Price and Growth at a Reasonable Price frameworks blend quality screening with valuation discipline. Neither pays unlimited multiples for growth. Neither buys junk just because it’s cheap.

    The 24.4% return versus 18% S&P 500 came from avoiding two traps:

    • High-quality expensive stocks that corrected
    • Low-quality cheap stocks that stayed cheap

    The frameworks eliminate both extremes, focusing on the quality-value intersection.

    Decade-Long Visibility

    Mondelez International is projected to grow its dividend at a high-single-digit annual rate through 2034. This decade-long earnings visibility window is precisely what forward-looking value frameworks screen for.

    Ten-year guidance is rare. Most companies provide quarterly or annual guidance. Mondelez offering 2034 projections demonstrates management confidence in business model durability.

    The high-single-digit growth rate means 7-9% annually. Over 10 years, this doubles the dividend through compounding. The visibility reduces uncertainty about achieving the growth.

    The Visibility Premium

    Earnings visibility deserves premium valuations. Uncertainty deserves discounts. Mondelez offering 2034 visibility should trade at premium to companies providing no forward guidance.

    Yet consumer staples broadly trade at discounts due to sector rotation. This creates the opportunity. Quality visibility available at discount prices.

    Forward-looking value frameworks specifically screen for this combination: long-term earnings visibility available at current-market discounts.

    The AI Compute Opportunity

    AMD targets 10% of the $1 trillion AI compute market by 2030, with AI solutions growing at 80% annually. This represents fundamentals-first entry available today at a fraction of NVIDIA’s valuation premium.

    Both AMD and NVIDIA compete in AI compute. Both benefit from AI infrastructure buildout. But NVIDIA trades at premium multiples while AMD offers similar exposure at lower valuation.

    The 80% annual growth targeting 10% of $1 trillion market means AMD aims for $100 billion in AI compute revenue by 2030. Current market cap and revenue allow calculating implied multiples.

    The Valuation Arbitrage

    NVIDIA commands premium for market leadership and mindshare. AMD offers alternative exposure without paying the leadership premium.

    The strategy isn’t betting AMD beats NVIDIA. It’s recognizing both participate in expanding market. AMD’s lower valuation provides margin of safety NVIDIA lacks.

    If AI compute market grows as projected, both companies benefit. AMD investors pay less for similar exposure, creating better risk-reward.

    Quality Growth at Reasonable Multiples

    Microsoft Azure’s 40% year-over-year growth paired with a low-risk classification demonstrates the forward-looking case. Quality compounders with earnings visibility remain available at reasonable prices compared to pure-hype AI peers.

    Azure growing 40% represents real revenue from enterprise customers with multi-year contracts. This isn’t speculative adoption. It’s contracted revenue with visibility.

    The low-risk classification reflects Microsoft’s balance sheet strength, diversified revenue streams, and proven execution. Quality doesn’t require high multiples if market temporarily focuses elsewhere.

    The Azure Comparison

    Pure-play AI companies trade at 40-50x forward earnings betting on future adoption. Microsoft trades at 25-30x despite Azure growing 40% and contributing substantial profitable revenue.

    The discount exists because Microsoft includes non-AI businesses. The market values diversification as liability rather than stability.

    Forward-looking value investors recognize the discount. They pay for proven Azure growth at Microsoft’s blended multiple rather than pure-play speculative multiples.

    Emerging Sector Winners

    The evidence-based optimal portfolio allocates approximately 18% to gold and the remainder to fundamentally screened equities, suggesting tomorrow’s winners are found in sectors the market has structurally underweighted.

    Gold at 18% reflects diversification and inflation protection. The remaining 82% focuses on fundamentally screened equities in underweighted sectors.

    Underweighted sectors create opportunity. When market concentrates in Magnificent 7, everything else becomes relatively cheap. Quality companies in underweighted sectors trade at discounts to historical averages.

    The Rerating Catalyst

    Forward-looking value frameworks identify companies before market recognition drives rerating. The 24.4% return in 2025 came from positions that got repriced as fundamentals validated growth.

    Rerating happens when:

    • Earnings growth continues while multiples expand
    • Market rotation brings capital into overlooked sectors
    • Catalyst events force reassessment of valuations
    • Quality becomes valued again after growth disappointments

    The frameworks position before rerating, capturing both fundamental performance and multiple expansion.

    Implementation Framework

    Combining forward-looking value with quality screening creates systematic approach:

    1. Screen for quality: ROE, cash flow, competitive moats, earnings consistency
    2. Identify forward growth: 10-year projections, secular tailwinds, market share gains
    3. Calculate fair value: multiple methods, conservative assumptions
    4. Compare to current price: target 20%+ discounts to fair value
    5. Verify catalyst: what drives eventual rerating

    The process identifies quality compounders before market recognition drives valuations to fair value or premium.

    The 2026 Setup

    Market concentration in AI and Magnificent 7 created discounts in quality businesses lacking AI narrative. Healthcare, staples, energy, and utilities all contain companies with decade-long earnings visibility trading at discounts.

    The setup favors forward-looking value frameworks that identify these opportunities before market rotation brings capital and multiple expansion.

    Tomorrow’s winners exist at today’s prices in sectors the market has structurally underweighted. Quality screening plus valuation discipline captures them before recognition drives rerating.

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    Samantha Cole
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    Samantha Cole is a business journalist and content strategist based in Boston, Massachusetts. With over 5 years of experience covering small business trends, market shifts, and entrepreneurial stories, Samantha brings clarity and relevance to the fast-moving world of business news. At InBusinessDaily, she focuses on delivering concise, actionable content to help professionals stay informed and one step ahead. Outside the newsroom, Samantha enjoys mentoring young writers, exploring local cafés, and tracking the latest innovations in the startup ecosystem.

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