Episode
Why Earnings Matter More Than the Noise
- Podcast
- Market Moment Podcast
- Published
- Jun 30, 2026
- Duration seconds
- 1383
- Processing state
not_requested- Audio
- https://mcdn.podbean.com/mf/web/7a2acz6e8yfjq6d8/Why_Earnings_Matter_More_Than_the_Noise9irw7.mp3
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Summary
With the stock market hovering around all-time highs at the halfway point of the year, it’s easy to let short-term market noise, geopolitical tensions, or Fed anxiety dictate your strategy. But what truly drives long-term stock returns? In this episode, Matt, Lee, and John take a data-driven step back to look at what the market actually cares about: corporate earnings. They break down the lockstep correlation between forward earnings growth and stock prices, the massive broadening out of the market (including the recent 21-22% surge in the Russell 2000), and why the historical divergence between small-cap and large-cap earnings is rapidly closing. The guys also tackle the massive CapEx spending trends of tech hyperscalers, the recent performance of gold and Bitcoin, and why a truly diversified portfolio built for the long haul is your best defense against market volatility. Topics Discussed: ➡️ Market Drivers vs. Noise: The long-term engine behind stock returns is corporate earnings growth, which historically moves lockstep with stock prices, whereas politics, Fed actions, and geopolitical events tend to drive short-term sentiment and volatility. ➡️ Market Broadening: The S&P 500's year-to-date gains have broadened out to the wider market, with the Magnificent 7 no longer acting as the primary drivers and smaller companies in the Russell 2000 outperforming. ➡️ Tech CapEx and Free Cash Flow: Major tech hyperscalers are heavily spending their free cash flow on massive capital expenditures (CapEx) for infrastructure and AI, leading the market to re-rate their near-term valuation multiples. ➡️ Geopolitical Resiliency: Despite ongoing conflicts like the war involving Iran and friction in the Strait of Hormuz, historical data shows the stock market typically adjusts to l…