The last equity cycle was shaped heavily by discount rates. The next one may be judged by something more operationally demanding: whether companies can convert incremental revenue into disproportionately higher earnings. In other words, the market may be moving from a “multiple expansion” regime to an “operating leverage” regime.
For much of the post-pandemic market cycle, the dominant debate in equities was macro. Investors argued about inflation, the terminal policy rate, real yields, liquidity, and whether long-duration growth assets could withstand a higher discount-rate world. That made sense. When rates moved abruptly higher, equity duration mattered. When investors began to price eventual rate relief, valuations could recover even before earnings fully did. In that environment, the market conversation was often less about what a company earned today and more about what investors were willing to pay for a stream of future earnings tomorrow.
That regime is changing.
The Federal Reserve (Fed)’s June 2026 statement kept the federal funds target range at 3.50%–3.75%, while the latest FOMC projections pointed to a median federal funds rate of 3.8% in Q4 2026, 3.6% in Q4 2027, and 3.4% in Q4 2028. The 10-year Treasury yield was 4.44% on June 30, 2026, according to FRED. In other words, rates are no longer collapsing in a way that can easily underwrite a broad, mechanical re-rating of equities. They may move, and expectations will continue to shift, but the market is unlikely to enjoy the same simple tailwind that falling discount rates provided in earlier cycles.
At the same time, earnings momentum is becoming the more important variable. FactSet’s July 2026 Earnings Insight showed estimated year-over-year (YoY) S&P 500 earnings growth of 23.3% for Q2 2026 and revenue growth of 12.2%; analysts were also projecting full-year 2026 earnings growth of 24.1%. The forward 12-month price/earnings (P/E) ratio was around 20.1, above both its five-year and 10-year averages. The message is clear: the market is already paying a full price for earnings. The next leg, therefore, must be earned rather than simply re-rated.
That is the core of this article: the next equity cycle may be less about investors assigning higher multiples to the same earnings base and more about companies expanding the earnings base itself. The companies that lead may be those with the strongest operating leverage: scalable revenue models, disciplined fixed-cost absorption, pricing power, productivity gains, and the ability to turn modest top-line growth into meaningful margin expansion.
The Old Playbook: Lower Rates, Higher Multiples
In discounted cash flow terms, the value of an asset is the present value of future cash flows. When the discount rate falls, the present value of those future cash flows rises. This effect is especially powerful for long-duration assets, where a larger share of expected cash flow lies far in the future. The same idea sits behind the Gordon growth model: valuation multiples rise when the required return falls or expected growth rises, all else equal.
This is why the rate cycle became the equity cycle. Lower yields supported higher P/E multiples; higher yields compressed them. Growth equities, software, unprofitable technology, venture-backed business models, and other long-duration assets were particularly sensitive because so much of their value depended on cash flows expected many years ahead.
Academic finance has long emphasized that movements in valuation ratios often reflect changes in discount rates rather than purely changes in expected cash flows. Cochrane’s survey of discount-rate research argues that variation in discount rates is central to asset pricing, while Campbell and Shiller’s work on dividend-price and earnings-price ratios helped formalize the relationship between valuations, expected returns, and future cash flows.
However, this mechanism has limits. Multiple expansion can pull forward returns. It can reprice assets quickly. It can create powerful rallies. Yet it cannot indefinitely substitute for earnings growth. Once valuations are already elevated, the bar changes. Investors start asking, “Can this company actually deliver the earnings implied by the story?”
That is where we are now.
The S&P 500’s forward P/E remaining above longer-term averages tells us that the market is not starting from a cheap valuation base. At the same time, corporate earnings and profit margins are already strong. FactSet reported that the S&P 500’s Q1 2026 blended net profit margin was 13.4%, which would be the highest margin since FactSet began tracking that measure in 2009, with analysts at that time expecting margins to rise further through the rest of 2026. A market that is already expensive and already profitable is not necessarily fragile, but it is more selective. It means the driver must shift from valuation to execution.
The New Playbook: Operating Leverage as The Earnings Multiplier
Operating leverage measures how sensitive operating income is to changes in revenue. A company with high fixed costs and relatively low variable costs can see profit rise faster than sales once revenue exceeds the break-even point. The reason is straightforward: after fixed costs are covered, each incremental dollar of revenue carries a higher contribution margin.
This is the earnings multiplier.
Consider two companies growing revenue at 8%. Company A has low operating leverage because its costs rise almost one-for-one with sales. Company B has high operating leverage because a large part of its cost base is fixed, already invested, or scalable. Company A may grow operating income by roughly 8%. Company B may grow operating income by 15%, 20%, or more, depending on its cost structure and gross margin. The top-line growth rate is the same; the earnings outcome is not.
This distinction matters because investors often talk about growth as if all growth is equal. It is not. Revenue growth without operating leverage can be expensive growth. Revenue growth with operating leverage can be compounding growth.
Operating leverage appears in software concept, semiconductors, industrial automation, exchanges, payments networks, asset managers, data infrastructure, branded consumer platforms, specialty manufacturers, logistics networks, and even certain energy and materials businesses when volumes recover after a fixed-cost base has already been built. The common thread is not sector classification. It is incremental economics.
Academic work supports the idea that operating leverage is a meaningful risk and return variable. Mandelker and Rhee (1984) linked operating and financial leverage to systematic equity risk, while Novy-Marx (2011) found that operating leverage helps explain differences in expected returns across firms and industries. The implication is important: operating leverage is a bridge between corporate cost structure, earnings cyclicality, equity risk, and valuation.
In the next cycle, investors may increasingly separate companies into three groups.
- Multiple-dependent compounders. These are companies that need investors to keep paying higher valuations because earnings growth alone may not justify the share price. They can still perform well, but their returns are more exposed to rate volatility and sentiment.
- Revenue growers without earnings conversion. These companies may show attractive top-line growth but weak margin expansion because labor, input, marketing, logistics, financing, or customer acquisition costs absorb the upside.
- Operating leverage winners. These companies can translate revenue growth into faster earnings before interest and taxes (EBIT), earnings per share (EPS), and free cash flow (FCF) growth. In a market where multiples are already full, this third group is likely to command the greatest strategic premium.
Why This Shift Is Happening Now
Four forces are pushing the market in this direction:
- Rates are high enough to matter but not high enough to create a fresh valuation reset. The Fed is no longer in an emergency easing regime. The market may debate cuts or hikes, but the easy part of the multiple recovery has likely happened.
- Earnings expectations are high. FactSet’s Q2 2026 data showed analysts expecting another quarter of more than 20% YoY S&P 500 earnings growth, after Q1 2026 earnings growth had also been very strong. In Q1, 84% of reporting S&P 500 companies had beaten EPS estimates, above five-year and 10-year averages, and aggregate earnings were 18.2% above estimates.
- Margins are already elevated. When margins are low, cyclical recovery alone can drive expansion. When margins are high, companies must work harder to improve them. Incremental margin improvement must come from mix, automation, pricing, scale, procurement, product architecture, or disciplined expense growth.
- The AI and automation investment cycle is changing the shape of corporate cost structures, which suggests that operating models are being redesigned.
This is where the operating leverage debate becomes more nuanced. AI can create operating leverage by automating workflows, improving software development, reducing service costs, increasing sales productivity, optimizing supply chains, and improving decision speed. However, AI can also destroy near-term operating leverage if it requires heavy capex, higher depreciation, expensive talent, cloud costs, cybersecurity spending, energy consumption, and experimentation without revenue conversion.
Earnings Are Strong, But the Hurdle Is Higher
The U.S. macro backdrop remains supportive but complex, and it is a constructive environment for earnings. Operating leverage is easiest when revenue rises and costs are stable. It is harder when labor, energy, inputs, freight, compliance, and financing costs are still rising. In that environment, companies need genuine productivity gains, not just price increases.
This is one reason the next cycle may reward operational discipline more than financial engineering. McKinsey’s 2026 Global Private Markets Report made a similar point for private markets, arguing that the conditions that once amplified returns—declining rates, expanding multiples, and abundant leverage—have passed. While that comment was directed at private equity, the logic travels well to public markets: when financing and valuation tailwinds fade, value creation must come from operational improvement.
Public equity investors are reaching a similar conclusion. BlackRock’s 2026 equity market outlook described earnings trends as strong across sectors and geographies, but also highlighted high investor expectations and likely volatility. That combination is exactly the environment in which operating leverage becomes the differentiator. When expectations are high, revenue growth alone may not be enough.
Why The Next Basis Point Is Harder
The current margin backdrop is impressive, while high margins create their own challenge. When margins are already elevated, incremental improvement requires either exceptional revenue mix, productivity, or pricing power. This is why the phrase “margin expansion” needs to become more precise. There are several types of margin expansion, and the market should assign different quality scores to each:
- Price-led margin expansion can be powerful but may be vulnerable if customers push back or competitors respond.
- Mix-led margin expansion is often higher quality because the company is shifting toward more profitable products, services, geographies, or customer segments.
- Volume-led margin expansion reflects fixed-cost absorption and is the classic operating leverage mechanism.
- Productivity-led margin expansion may be the most valuable in this cycle because it can offset wage and input inflation without relying entirely on price.
- Accounting-led margin expansion is the lowest quality if it depends on add-backs, capitalization choices, or temporary expense timing.
The next cycle may reward investors who can tell these apart.
FactSet’s Q2 2026 data showed a notable gap between expected earnings growth of 23.3% and expected revenue growth of 12.2%. That gap is the operating leverage conversation in aggregate form. It implies that earnings are expected to grow much faster than sales. The market’s key question is whether that gap reflects durable operating leverage or temporary factors.
Sector Implications
Operating leverage is sector-specific, but it is not sector-determined. Several areas deserve particular attention.
Technology and Semiconductors
These sectors often have high fixed-cost investment and strong incremental margins when demand rises. FactSet expected the Information Technology sector to report 63.3% YoY earnings growth in Q2 2026, with semiconductors and semiconductor equipment expected to grow earnings by 131%. It also noted that excluding semiconductors would reduce the sector’s earnings growth rate materially. That shows both the power and concentration of the current operating leverage cycle.
The opportunity is obvious: AI infrastructure demand can create enormous revenue growth across chips, networking, memory, power, cooling, and software layers. The risk is equally clear: fixed-cost intensity cuts both ways. Semiconductor cycles can turn quickly if demand is overestimated, inventory builds, or pricing weakens. Operating leverage is a multiplier, not a guarantee.
Industrials and Automation
Industrials can benefit when capex cycles broaden, supply chains regionalize, and automation demand rises. Here, operating leverage often comes from factory utilization, backlog conversion, pricing discipline, and installed-base services. The highest-quality industrial compounders often combine equipment revenue with aftermarket revenue, software, controls, or services that carry better margins and lower cyclicality.
Energy and Materials
These sectors can show powerful operating leverage when commodity prices and volumes rise against a fixed asset base. FactSet expected the Energy sector to lead Q2 2026 earnings growth at 122.1%, helped by higher average oil prices versus the prior year; however, this is cyclical operating leverage, not necessarily structural operating leverage. It can reverse when commodity prices fall.
Communication Services and Platforms
Digital platforms can have excellent operating leverage because user growth, engagement, ad loads, subscriptions, or pricing changes can scale across existing infrastructure. However, content costs, regulatory costs, AI compute, moderation, and competition can absorb the upside.
Consumer Discretionary and Consumer Staples
These sectors reveal the difference between pricing power and volume leverage. A consumer company that grows revenue only through price may eventually pressure volumes. A company that grows through brand strength, premiumization, distribution, and supply-chain productivity has a more durable margin story.
Financials
For banks, operating leverage often depends on net interest income, fee growth, credit costs, technology efficiency, and expense discipline. For asset managers, exchanges, and data providers, operating leverage can be substantial when market levels, flows, subscriptions, or volumes rise faster than headcount and platform costs.
The deeper point is that sector labels are insufficient. Investors need to underwrite cost structure, revenue durability, incremental margins, and capital intensity at the business-model level.
The AI Paradox: Capex Burden Now, Operating Leverage Later
AI may be the defining operating leverage variable of this cycle, but the market is still working out whether AI is primarily a revenue accelerator, a productivity tool, a capex burden, or a competitive necessity.
- The optimistic case is straightforward. AI allows companies to automate repetitive work, compress software development cycles, improve customer service, personalize sales, optimize inventory, detect fraud, reduce downtime, accelerate research, and improve knowledge work. If those benefits scale across the enterprise, companies can grow revenue without growing headcount at the same pace. That is operating leverage.
- The skeptical case is also credible. AI requires heavy upfront investment. It can raise cloud usage, data infrastructure costs, cybersecurity needs, model governance costs, legal risk, compliance burden, and depreciation. It may also intensify competition by lowering barriers to entry. In that case, the gains may accrue to customers through lower prices rather than to companies through higher margins.
The difference between the two outcomes will be execution.
What Investors May Underwrite Differently
If the next cycle is driven by operating leverage, the analytical framework changes.
In a multiple-expansion regime, the key questions are often: where are rates going, what is the terminal multiple, what is the duration of the asset, and how much can sentiment improve?
In an operating-leverage regime, the better questions are:
- What is the company’s fixed-versus-variable cost structure?
- What is the incremental gross margin?
- Can revenue grow without equivalent growth in operating expense?
- How much of margin expansion is price, mix, volume, or productivity?
- Does capex create scalable capacity or merely maintain competitiveness?
- Is FCF growing with earnings?
- How sensitive are earnings to a revenue slowdown?
- Can management protect margins without damaging long-term growth?
This framework also changes how one reads earnings calls. The most important signals may not be the headline EPS beat. They may be commentary on hiring plans, automation, utilization, backlog conversion, discounting, customer retention, input costs, pricing, renewal rates, deployment efficiency, and capex intensity.
In a high-expectation market, misses matter. However, the more important point is that beats must be high quality. A company that beats because of one-time tax, FX, or below-the-line items may not deserve the same premium as a company that beats because incremental margins improved.
The Risks: Operating Leverage Works Both Ways
Operating leverage magnifies earnings growth when revenue rises, but it also magnifies earnings declines when revenue falls. A high fixed-cost base is powerful when demand is strong and dangerous when demand weakens.
This is why operating leverage must be paired with balance-sheet analysis. Operating leverage plus financial leverage can create significant earnings volatility. Mandelker and Rhee (1984)’s work is relevant here because systematic risk is affected by both operating and financial leverage. In practical terms, a company with high fixed operating costs and high debt may see equity value become highly sensitive to relatively small changes in revenue.
The risk is especially important in sectors where demand has been pulled forward. AI infrastructure, semiconductors, construction inputs, industrial automation, and certain energy segments can all experience capacity cycles. If companies build fixed-cost capacity for demand that later normalizes, operating leverage reverses.
There is also a margin-risk issue. If S&P 500 margins are already near record highs, then expectations may embed continued efficiency gains. Any disappointment in revenue growth, pricing, or productivity can compress margins. This would make earnings estimates vulnerable even without a recession.
Finally, there is a macro risk. S&P Global’s April 2026 global PMI commentary noted that global growth had improved from March but remained weak relative to the prior year, with supply delays, rising prices, and uncertainty weighing on business confidence. If global demand slows while costs remain sticky, operating leverage becomes a headwind.
Why This Matters for Corporate Leaders
If the market is shifting from multiple expansion to operating leverage, management teams need to tell a different story. The new story must be: “Our growth is converting into earnings and cash flow at an improving rate.” That requires a sharper investor-relations narrative.
Companies should explain the shape of their cost base. They should identify which investments are fixed, which are scalable, and which are variable. They should disclose productivity metrics where appropriate. They should bridge revenue growth to gross margin, operating expense, EBIT, and FCF. They should distinguish between structural and temporary margin drivers. The best management teams will likely frame operating leverage as a strategic capability, not a quarterly accident.
Fundopedia’s Operating Leverage Scorecard
We think a useful way to evaluate companies in this environment is through a scorecard. The goal is to create a disciplined structure.
- Revenue quality: Is growth recurring, contracted, diversified, and volume-supported, or is it dependent on one-time price increases and cyclical demand?
- Gross margin trajectory: Are gross margins expanding through mix and productivity, or are they pressured by input costs and discounting?
- Operating expense discipline: Are sales, R&D, and G&A growing slower than revenue without impairing future growth?
- Incremental margin: What percentage of incremental revenue is converting into incremental operating income?
- Cash conversion: Is EPS growth translating into FCF growth?
- Capital intensity: Does growth require heavy incremental capex, or can the company scale through existing assets?
- Balance-sheet resilience: Can the company withstand revenue volatility without financial stress?
- AI/productivity proof points: Are automation and technology initiatives visible in measurable operating KPIs?
- Management credibility: Has the company historically delivered on margin targets and cost discipline?
- Cyclicality: Is operating leverage structural or merely cyclical?
We believe this scorecard is particularly useful because it can prevent investors from confusing high growth with high-quality growth.
Conclusion
The market narrative is evolving. Rates still matter, and they always will. A sudden move in yields can still reprice equities, but rates may no longer be enough to drive the next full cycle of returns. Valuations are already full, margins are high, and earnings expectations are ambitious. This creates a new burden of proof.
The next cycle may be led by companies that can do three things at once: grow revenue, expand margins, and convert earnings into cash. That is operating leverage in its highest-quality form.
This is also why market leadership may broaden but not indiscriminately. It may broaden toward companies with demonstrable earnings power. It may reward industrials, financials, energy, technology, communication services, or consumer companies when they show genuine incremental economics. But it may punish companies that rely on narrative, adjusted numbers, or valuation support without operating proof. The winners will be those that can show that scale is better economics. In the next cycle, delivery may matter more.
If you have any questions, please feel free to contact your Fundopedia advisor or consultant.
References
BlackRock. (2026). Equity market outlook. BlackRock.
Board of Governors of the Federal Reserve System. (2026, June 17). Federal Reserve issues FOMC statement.
Bureau of Economic Analysis. (2026). Corporate profits. U.S. Department of Commerce.
Bureau of Economic Analysis. (2026, June 25). GDP third estimate, industries, corporate profits, state GDP, and state personal income, 1st quarter 2026. U.S. Department of Commerce.
Bureau of Labor Statistics. (2026, June 15). Productivity up 0.3 percent in first quarter 2026. U.S. Department of Labor.
Campbell, J. Y., & Shiller, R. J. (1988). The dividend-price ratio and expectations of future dividends and discount factors. Review of Financial Studies.
Cochrane, J. H. (2011). Discount rates. National Bureau of Economic Research.
Federal Reserve Bank of St. Louis. (2026). FOMC Summary of Economic Projections, June 2026. FRED Blog.
Federal Reserve Bank of St. Louis. (2026). Market yield on U.S. Treasury securities at 10-year constant maturity. FRED.
Mandelker, G., & Rhee, S. G. (1984). The impact of the degrees of operating and financial leverage on systematic risk of common stock. Journal of Financial and Quantitative Analysis, 19(1), 45–57.
McKinsey & Company. (2026). Global private markets report 2026.
Novy-Marx, R. (2011). Operating leverage. Review of Finance, 15(1), 103–134.
Williamson, C. (2026, May 6). Global PMI rises in April as war-related supply and price worries boost manufacturing. S&P Global Market Intelligence.