As we move through Q2’26, companies are navigating a more complex operating backdrop, with rising cost pressures, evolving macro signals, and increased investor focus on the durability of execution.
In this edition, we cover pertinent executive topics and provide data-driven insights into the current macro and corporate positioning as we wend our way through Q2’26. Headwinds are building alongside costs, and while companies may face near-term pressure, those demonstrating resilience and disciplined execution remain best positioned to sustain investor confidence.
Our Q1’26 Inside The Buy-Side® Earnings Primer®, published April 9, registered a significant decline as investor confidence calibrated amid the Iran War and its potential impact on the global economy, which weighed heavily on sentiment.
As Q1’26 progressed, the Iran War shifted from headline risk to an operating issue, with companies addressing disruption, rising input costs, and broader macro uncertainty. At the same time, consumer health became a more prominent concern, particularly as companies highlighted acute pressure on low-income consumers.
Earnings commentary broadly pointed to disciplined execution, supported by aggregate top- and bottom-line growth. Still, management teams were clear that performance is being delivered against a more complex and less predictable backdrop.
Companies continued to discuss AI as a strategic priority, but investors are now more focused on capital allocation discipline, hurdle rates, and measurable returns. For now, sequential shifts in capital allocation point to greater emphasis on shareholder returns and debt paydown. Despite capex declining sequentially, it remains meaningfully higher year-over-year.
As we exit the quarter, investors are focused on the trajectory of inflation and how consumers will respond, potential structural changes to businesses and supply chains from the Iran War, the size and timing of tariff refunds, whether companies will adopt a more defensive capital allocation posture in response to rising costs, and if AI returns can ultimately justify its cost.