7 Analyst-Backed Stocks Poised for Explosive Earnings Growth in 2026

As-of date: Feb 24, 2026 (Asia/Singapore). This article is for information only, not financial advice.

When people hear “earnings growth,” they often imagine one type of company: a hot tech name with a perfect story. But the market doesn’t work like that. The most consistent earnings growers often come from very different places—jet engines, networking hardware, chip equipment, construction services, enterprise software, and even high-end tourism.

That’s why a screen like “analyst favorites for earnings growth” is interesting: it forces you to look beyond a single narrative and instead focus on a simpler question—who is likely to grow profits meaningfully, and what could break that thesis?

In the screen you referenced, the seven highlighted names were:

• GE Aerospace (GE) – jet engines + services (commercial and defense)
• Arista Networks (ANET) – data center / cloud networking
• Sterling Infrastructure (STRL) – e-infrastructure + construction services
• IBM (IBM) – software + consulting + hybrid cloud / AI
• Lam Research (LRCX) – semiconductor wafer-fab equipment (etch/deposition)
• Las Vegas Sands (LVS) – integrated resorts (Macau + Singapore)
• SAP (SAP) – enterprise ERP platform (S/4HANA + cloud transition)

In this post, I’ll do two things:

1. Explain how to read an “earnings growth favorites” list without turning it into hype.
2. Break down each stock with a simple framework: why earnings could grow, what could go wrong, and the key catalysts to watch.

A practical way to use “earnings growth” lists (without gambling)

Here’s the trap: people treat a list like this as a “buy now” signal. It isn’t. Think of it as a research shortlist.

A useful checklist:

1. Identify the earnings engine. What specifically drives profit growth—price, volume, services, mix, cost leverage, or buybacks?
2. Identify what must stay true. Example: “air travel stays strong,” “AI data center spending continues,” or “chip capex doesn’t collapse.”
3. Identify the time horizon. Some are cycle-sensitive (semiconductors), some are long-duration (ERP migrations), and some are macro-sensitive (tourism).
4. Decide your risk budget. You don’t need all seven. You need the ones that fit your temperament and portfolio.

Now let’s go through the seven names one by one.

1) GE Aerospace (GE): the services flywheel

What the business is: GE Aerospace is a major provider of jet and turboprop engines and related systems for commercial and defense aviation. It also generates significant recurring revenue from maintenance, repairs, and overhaul (MRO). In plain English: the engines are important, but the long-term service contracts are often the profit machine.

Why earnings can grow

• Aftermarket services are sticky. Engines need maintenance regardless of headlines. As fleets age and flight hours rise, service revenue can expand.
• Commercial aviation cycles tend to be long. If global travel demand stays resilient, airlines keep planes flying—and engines keep earning.
• Defense adds diversification. Defense contracts can help smooth the cycle (though timing can be lumpy).

What could go wrong

• Supply chain and delivery constraints. If engines or parts are delayed, growth gets pushed out and costs rise.
• Air traffic downturn. A recession or shock can reduce flight hours and defer maintenance events.
• Program-specific issues. Aviation is unforgiving—technical or regulatory surprises can hit margins fast.

Catalysts to watch: quarterly commentary on flight hours, services backlog, pricing power in spare parts, and defense order momentum.

How to think about it: Often best viewed as a high-quality industrial with a recurring revenue tail. If you like earnings growth but prefer something less “story-stock,” this can be a cleaner fit than many high-beta names.

2) Arista Networks (ANET): riding the AI data center buildout

What the business is: Arista sells high-performance networking equipment and software used in data centers, cloud networks, and increasingly AI infrastructure. If data centers are the factories of the AI era, Arista helps build the “roads” inside those factories.

Why earnings can grow

• AI traffic is exploding. AI workloads increase “east-west” traffic inside data centers, driving demand for switching/routing capacity.
• Performance matters. Reliability + latency can translate into share gains when products are strong.
• Operating leverage. Hardware + software models can scale well when demand is strong.

What could go wrong

• Customer concentration. Hyperscalers can be a large chunk of revenue; a spending pause can wobble growth.
• Competitive pressure. Pricing wars can compress margins quickly.
• Capex digestion cycles. Even in secular uptrends, cloud capex can pause after big build phases.

Catalysts to watch: AI switching demand (400G/800G), order trends from hyperscalers, and margin stability.

How to think about it: A classic “picks-and-shovels” AI infrastructure name—less headline-driven than GPU makers, but still tied to the capex cycle.

3) Sterling Infrastructure (STRL): “boring” work, surprisingly strong earnings

What the business is: Sterling is an infrastructure services provider across E-infrastructure, building solutions, and transportation solutions. E-infrastructure is the eye-catching part—site development and specialty services supporting mission-critical projects (often tied to data centers and industrial buildouts).

Why earnings can grow

• Data centers need physical buildout. Land prep, utilities, electrical work, and specialized construction can drive backlog.
• Execution creates leverage. Good project management can expand margins with scale.
• Multi-year visibility. Backlog can provide a clearer runway than many investors expect.

What could go wrong

• Project timing and weather. Delays can shift earnings across quarters.
• Cost inflation. Labor/materials can pressure margins if contracts don’t pass through costs.
• Demand shocks. If industrial or data center buildouts slow, the pipeline can cool fast.

Catalysts to watch: backlog growth, margin commentary, and the mix of revenue tied to E-infrastructure vs. other segments.

How to think about it: A “quiet winner” style of growth stock—less glamorous, potentially powerful if the infrastructure cycle stays strong.

4) IBM (IBM): the “steady compounder” angle via software + hybrid cloud

What the business is: IBM operates across software, consulting, infrastructure, and financing, with a strategy centered on hybrid cloud and AI. It’s not the fastest grower here, but it can be a consistent earnings story if execution stays solid.

Why earnings can grow

• Software mix improves quality. Software tends to be higher margin and more recurring than services/hardware.
• Hybrid cloud is practical. Enterprises operate mixed environments; modernization without ripping everything out can keep deal flow steady.
• Operational discipline. Even moderate revenue growth can translate into decent EPS growth with cost control and better mix.

What could go wrong

• Consulting cyclicality. Budget cuts can slow services.
• Competitive intensity. IBM competes with giants across cloud, software, and services.
• Narrative lag. Markets sometimes discount turnarounds until results become undeniable.

Catalysts to watch: software growth, free cash flow commentary, and real enterprise traction in AI (adoption, not hype).

How to think about it: A lower-volatility earnings growth idea relative to the cyclical names, assuming software keeps doing the heavy lifting.

5) Lam Research (LRCX): semicap leverage when the cycle turns

What the business is: Lam supplies wafer-fab equipment used in front-end semiconductor manufacturing—especially etch and deposition. These tools are essential for advanced chips.

Why earnings can grow

• Secular demand exists. AI, high-performance computing, and advanced memory can support multi-year equipment demand.
• Complexity boosts tool intensity. More advanced nodes usually require more steps and precision.
• Installed base tail. Services and spares can help (though cycle still matters).

What could go wrong

• Capex whiplash. Chipmakers can cut spending quickly, and equipment revenue can drop fast.
• Geopolitical/export controls. Policy shifts can change where tools can be sold.
• Customer concentration. Memory/foundry cycles differ, but concentration adds volatility.

Catalysts to watch: foundry/memory capex guidance, order commentary, and signs of cycle bottoming (inventory normalization, pricing stability).

How to think about it: Typically a high-beta earnings growth play—great when the cycle turns up, painful if bought near a peak.

6) Las Vegas Sands (LVS): premium tourism + recovery leverage

What the business is: LVS owns and operates integrated resorts in Asia, including Marina Bay Sands in Singapore and properties in Macau (via Sands China). These are full ecosystems—casino, rooms, retail, MICE, entertainment.

Why earnings can grow

• Operating leverage is real. When occupancy and volumes rise, incremental profit can outpace revenue growth.
• Two key markets. Strength in both Singapore and Macau can drive momentum.
• Premium positioning. Top assets can hold up better than the mass market in softer conditions.

What could go wrong

• Policy/regulatory risk. Gaming is always sensitive to regulation, especially in Macau.
• Macro/travel shocks. Tourism is exposed to recessions and external disruptions.
• China consumer confidence. Macau performance is tied to broader sentiment and spending power.

Catalysts to watch: visitation and gaming trends in Macau, Singapore property performance, and management tone on margin sustainability.

How to think about it: A cyclical earnings growth name backed by premium assets—ownership is essentially underwriting travel demand and stable regulation.

7) SAP (SAP): the long migration that can compound earnings

What the business is: SAP is a core enterprise software provider, best known for ERP systems that run finance, supply chains, procurement, and operations. The key “story” is the multi-year transition toward cloud and modern ERP platforms (often linked to S/4HANA).

Why earnings can grow

• Mission-critical software. Companies may delay upgrades, but they rarely abandon ERP.
• Cloud transition improves quality. Subscriptions can increase recurring revenue and visibility when executed well.
• Installed base monetization. Cross-sell of modules/services can compound over time.

What could go wrong

• Migration friction. ERP projects are complex and expensive; customers can slow during weak economies.
• Competitive alternatives. Some firms choose best-of-breed stacks rather than a single platform.
• Security/operational risk. Large platforms carry trust and security burdens; issues can hurt adoption.

Catalysts to watch: cloud backlog and growth commentary, migration momentum, and margin progression as cloud scales.

How to think about it: A durable compounder candidate if you believe the cloud transition continues steadily and margins expand with scale.

How to build a “non-gambling” watchlist from these seven

If you’re building a serious portfolio (not chasing adrenaline), group these names by what you’re actually underwriting:

• AI infrastructure capex: ANET, STRL (and indirectly LRCX)
• Industrial + aerospace durability: GE
• Enterprise IT modernization: IBM, SAP
• Tourism / premium consumer spend: LVS
• Semiconductor cycle upside: LRCX

Then pick the category exposure that fits your risk tolerance:

• If you prefer lower volatility, you might lean toward IBM, SAP, and GE.
• If you can handle cycle risk for higher upside, you might lean into ANET, LRCX, and STRL.
• If you have a strong view on Asia travel, LVS is the specialized macro expression.

The bottom line

This “earnings growth favorites” list is valuable because it’s diversified by nature. It’s not seven versions of the same trade. Each name is tied to a different earnings engine:

• GE: service flywheel + aviation durability
• ANET: AI data center networking buildout
• STRL: mission-critical infrastructure construction
• IBM: software-led consistency with hybrid cloud/AI
• LRCX: semicap leverage when the cycle improves
• LVS: operating leverage to premium tourism
• SAP: long runway from ERP cloud migration

If you do one thing after reading this: don’t rush to buy. Add the names you understand to a watchlist, track the catalysts, and only take positions that match your timeframe and risk limits. Over the long run, discipline beats excitement.

Disclosure: I may or may not hold positions in securities discussed. This is not a recommendation to buy or sell any security.