Finding Great GARP Stocks with David Giroux

Episode Summary

Executive Summary: T. Rowe Price CIO David Giroux explains a durable GARP-based approach built around bottom-up five-year IRR analysis, strong management, and avoiding overhyped or structurally challenged businesses. He argues markets are increasingly short-term and less efficient, which creates opportunities in underfollowed, quality compounders. He sees value in software, healthcare, and utilities, is cautious on financials and certain expensive tech names, and believes AI will boost productivity but raise structural unemployment over time.

Main Topics: GARP investing and inefficient market niches (Priority: 5/5): Giroux defines growth-at-a-reasonable-price as mid-single-digit revenue growth, modest margins, disciplined capital allocation, and low cyclicality. He argues these companies are underowned because no style box or investor group naturally owns them, creating persistent mispricings. Bottom-up five-year return framework (Priority: 5/5): The team builds company-level IRRs and rolls them up to a market-level outlook, using conservative assumptions and long-term earnings power estimates to guide portfolio positioning. Short-termism and market dislocations (Priority: 4/5): He says investors are increasingly focused on weekly or monthly performance, which worsens volatility and creates opportunities for patient managers who can buy when others are forced sellers. Tariffs, macro, and process discipline (Priority: 4/5): Giroux distinguishes between traditional macro forecasting and targeted high-conviction analysis of special situations like tariffs, COVID, or tax policy where deep research can create an edge. Where opportunities are attractive today (Priority: 5/5): He likes vertical software, healthcare, and utilities due to reasonable valuations, durable growth, and improving fundamentals; he sees high returns from earnings growth plus multiple expansion. Where he is cautious (Priority: 4/5): He is less constructive on financials, and calls out extreme valuations in names like Tesla and Palantir, while acknowledging some mega-cap tech still looks reasonable. AI, productivity, and labor market effects (Priority: 4/5): AI is seen as economically disruptive, helping some companies improve margins and productivity while potentially increasing structural unemployment and pressuring inflation and bond yields over time.

Key Arguments: GARP stocks have historically outperformed the market by roughly 400 basis points annually with below-average volatility because they sit between value and growth style mandates and are therefore underowned. Long-term compounding comes from both earnings growth and valuation expansion; Giroux looks for businesses that can deliver a high single-digit or better total return algorithm. A five-year bottom-up IRR framework is more reliable than relying on top-down macro calls or market-level valuation slogans, because index composition changes over time. Passive and benchmark-chasing behavior can increase correlations and create stock-level inefficiencies, but it does not necessarily imply the market is broadly overvalued. The best opportunities often appear when markets sell off, because history shows forward returns improve after declines and VIX spikes. Tariffs were assessed as likely temporary/unconstitutional, so they should not meaningfully alter long-term portfolio construction; in some affected names, weakness created buying opportunities. Vertical software, healthcare, and utilities are attractive because earnings growth is durable, valuations are reasonable, and in utilities, demand is boosted by renewables, grid investment, and data center load growth. Financials appear relatively expensive after a strong run, so he prefers to avoid buying cyclicals when fundamentals are good and valuations are rich. Management quality and capital allocation are essential; the biggest winners in his career tended to have CEOs who intelligently reinvested, bought back stock, and reshaped businesses. AI should improve productivity in research and in portfolio companies, but it may also structurally raise unemployment and change the macro backdrop over the next 5-10 years.

Data Points: GARP stock outperformance: ~400 basis points per year - He says these stocks have outperformed the market over his career on average. GARP weight in S&P 500: ~13% - Estimate of how much of the S&P 500 fits his GARP definition. Portfolio GARP exposure: ~30% - His portfolios are roughly 30% GARP under his definition. Starting 2025 equity stance: 500 bps underweight - Portfolio started the year underweight equities. Trough equity stance: 200 bps overweight - After the selloff, they moved to overweight equities. Market decline from peak to trough: ~20% - He referenced the market falling almost 20% before recovering. Forward market return estimate at peak: <5% over 5 years - Initial bottom-up S&P 500 analysis at the start of the year. Forward market return estimate after selloff: 9.5% IRR - Their market-level five-year IRR estimate improved sharply during the drawdown. Current forward market return estimate: ~6% over 5 years - Latest estimate as described in the interview. Portfolio/company IRR vs market: ~400 bps higher than market - He says individual names in the portfolio usually have IRRs above the market by this margin. Market earnings power estimate for 2030: $404 - Their bottom-up market earnings estimate used in valuation work. Market terminal multiple assumption: 18x - Applied to the aggregate earnings estimate in their market model. Implied market price target: ~7,000-7,300 - Estimated 2029/2030 market level based on earnings and multiple assumptions. Utilities earnings growth history: 0% from 1986-1998 - He used this to contrast with today’s more favorable utility backdrop. Staples earnings growth: 4.4% CAGR - Used to illustrate unattractive growth relative to valuation. Average computer programmer salary: $110,000/year - Cited in AI discussion using Census data. GitHub Copilot subscription: $19/month - Used as an example of AI-powered labor substitution. Market decline threshold and forward return: 10% decline adds ~200 bps to expected 12-month return - History-based framework for buying weakness. Risk of loss after a 20% decline: Down by half - He says loss risk drops materially after deeper selloffs. Volatility spike effect: Up to 2x normal returns - When VIX is elevated and the team is buying while others sell.

Pivotal Quotes: "The market has become very, very short-term focused... They're trying to outperform over every week, every day, every month." — David Giroux: On why market inefficiencies persist and why his team exploits long-term horizons. "Amazon traded a discount to Walmart today, which again, makes no sense whatsoever." — David Giroux: Illustrating mispricings he sees in the market, especially in quality growth names. "Tesla could fall 95% tomorrow and I wouldn't buy a share of Tesla." — David Giroux: His view that some highly valued companies remain fundamentally unattractive despite market excitement.

Implications: Listeners should expect a disciplined, long-horizon, bottom-up playbook that avoids macro bravado and hunts for durable compounding businesses. For the industry, short-termism and index behavior may keep creating opportunities for active managers with patience and valuation discipline.