Evercore ISI has identified a cohort of the market's 'least loved' large-cap stocks as the ones to pick ahead of the Q2 earnings season, arguing that profit growth will overcome concerns about artificial intelligence valuations and lift the S&P 500. The investment firm's analysis, published on July 13, 2026, highlights companies like Intel Corp. and Microsoft Corp. that are positioned for positive surprises. Intel stock was trading at $109.84, down 0.36% on the day, within a range of $107.45 to $110.85 as of 11:00 UTC today.
Context — why this matters now
Earnings season presents a critical test for a market that has become increasingly bifurcated between AI high-fliers and value-oriented cyclicals. The S&P 500's performance in 2026 has been heavily influenced by a narrow group of technology stocks perceived as primary AI beneficiaries. This has created a significant dispersion in valuation and sentiment, leaving many high-quality companies trading at a discount despite strong underlying fundamentals.
The current macroeconomic backdrop features moderating inflation and a Federal Reserve that has signaled a data-dependent pause, providing a stable environment for corporate earnings to drive price action. The catalyst for Evercore's thesis is the imminent Q2 2026 earnings reports, which begin in earnest next week. The firm anticipates that companies beating lowered expectations will see substantial upward revisions, particularly those outside the spotlight of the AI narrative.
This dynamic echoes the post-earnings announcement drift phenomenon observed in prior quarters, where stocks with positive surprises continue to outperform in the weeks following their reports. A similar scenario played out in Q1 2025, when undervalued industrial and consumer discretionary stocks significantly outperformed the broader index after reporting better-than-expected results.
Data — what the numbers show
Evercore's strategy focuses on large-cap stocks within the S&P 500 that exhibit a combination of low investor sentiment, attractive valuation, and high consensus estimates for earnings per share growth. Intel exemplifies this profile, with its share price of $109.84 reflecting a year-to-date performance that has lagged the broader semiconductor index. The stock's intraday range between $107.45 and $110.85 indicates a level of consolidation ahead of its upcoming earnings release.
Microsoft, another name highlighted, carries a market capitalization exceeding $3.2 trillion but has seen its relative performance stall as investor attention shifts to pure-play AI competitors. The analysis points to a projected earnings growth rate for these selected companies that is more than 300 basis points higher than the average for the S&P 500. The selected 'least loved' stocks show an average analyst rating that is significantly more neutral than the strong buy ratings prevalent in the AI sector.
A comparison of valuation metrics reveals the disparity.
| Metric | 'Least Loved' Cohort | S&P 500 Average |
|---|
| Forward P/E Ratio | 15.2x | 20.5x |
| EPS Growth (Next 12 Months) | 14.5% | 11.2% |
This data suggests a potential for multiple expansion if the companies deliver on their earnings forecasts. The strategy is a contrarian bet against the crowded positioning in a handful of mega-cap technology names.
Analysis — what it means for markets / sectors / tickers
The immediate second-order effect of this strategy playing out would be a broadening of the market rally. Sectors like semiconductors, traditional hardware, and segments of software that have been overlooked in the AI rush could experience significant inflows. This would reduce the concentration risk that has concerned portfolio managers throughout the first half of 2026. A successful earnings beat from a company like Intel could catalyze a re-rating for the entire value-tech segment.
A key risk to this outlook is that macroeconomic weakness, such as a slowdown in consumer spending or a resurgence in inflation, could overshadow strong company-specific results. If guidance for the second half of 2026 is cautious, even a earnings beat may fail to lift stock prices. The counter-argument is that the market has already priced in a mild recession, leaving room for upside surprise.
Positioning data indicates that hedge funds and active managers have been increasing their exposure to these contrarian picks in recent weeks, anticipating a mean-reversion trade. Flow analysis shows net buying in exchange-traded funds focused on value and low-volatility factors, suggesting institutional investors are preparing for a rotation.
Outlook — what to watch next
The primary catalyst is the commencement of Q2 earnings season, with major banks like JPMorgan Chase and Citigroup reporting on July 17. Technology earnings will follow shortly after, with Intel's report scheduled for the week of July 27. The market's reaction to these initial reports will set the tone for whether the 'least loved' thesis gains traction.
Technical levels for the Invesco S&P 500 Equal Weight ETF (RSP) will be a critical gauge of market breadth. A sustained break above its 50-day moving average would confirm participation beyond the mega-caps. For Intel, the $112 level represents near-term resistance; a decisive break above it on high volume post-earnings would be a strong bullish signal.
The August 1 release of the ISM Manufacturing PMI will provide crucial data on the health of the corporate earnings base. A reading above 50, indicating expansion, would bolster the case for broad-based profit growth. Conversely, a contractionary reading could reinforce the defensive trade and limit the upside for cyclical names.
Frequently Asked Questions
What does 'least loved' mean in stock market terms?
A 'least loved' stock is one that is out of favor with the majority of investors, often reflected in neutral or negative analyst ratings, low media coverage, and underweight positions in institutional portfolios. These stocks typically trade at discounted valuations compared to their historical averages and the broader market. This contrarian status means that even modest positive news, like an earnings beat, can trigger a disproportionate price increase due to light positioning.
How does this strategy differ from simply buying undervalued stocks?
While both approaches seek discounted assets, the 'least loved' framework specifically incorporates sentiment and positioning metrics alongside traditional valuation. An undervalued stock might still be widely owned, meaning a positive catalyst has limited impact. The 'least loved' filter identifies stocks where negative sentiment is extreme, creating a setup for a sharp reversal when fundamentals improve. This strategy is more dynamic and focused on the catalyst of changing investor perception.
