GE employs a razor-and-blades model on an industrial scale, accepting losses on initial engine sales to powerful airframers like Boeing. This secures a multi-decade, high-margin stream of mandated service and parts revenue from a fragmented base of airline customers, where aftermarket sales can be 3-5 times the original engine price.

Unlike competitors chasing peak margins from new tech clients, Baker Hughes prioritizes its decades-long customer relationships. By honoring supply commitments to legacy clients, it reinforces its reputation and secures the lucrative, long-term service agreements that are the true profit driver of its business.

The market still views Baker Hughes through its legacy oilfield services lens. However, its Industrial Energy Technology (IET) division, which supports long-term energy infrastructure build-outs, is becoming the dominant, higher-quality driver of the business, creating a valuation disconnect.

For owners planning a future exit, the MSP model is far superior to a reseller's project-to-project structure. The stable, predictable monthly recurring revenue (MRR) from multi-year contracts is highly attractive to investors, creating a sellable asset independent of the owner's sales prowess.

Unlike past oil-driven booms, Baker Hughes' current growth is fueled by a convergence of secular trends: AI data centers, utility grid upgrades, coal plant retirements, and industrial onshoring. This diversified demand base suggests a more sustainable, less cyclical growth trajectory.

Buyers pay a premium for predictable income, not just high revenue. Even non-SaaS businesses, like a home builder, can create valuable "durable revenue" by adding contract-based services like lawn care, significantly increasing enterprise value.

Businesses that sell equipment should operate with three revenue streams: the initial machine sale, consumables the machine uses, and service/maintenance. The real, long-term profit lies in consumables and service, which function as an annuity after the initial sale.

The bull case for Baker Hughes is not about convincing the market to pay a higher valuation multiple. Instead, it's a fundamental story based on the predictable growth of its IET backlog, margin expansion from services, and value creation from acquisitions, all of which will drive significant earnings growth.

While AI data centers drive demand for small-scale turbines, the business is not solely dependent on this trend. A strong backlog for mid-size (LNG) and large-scale (utility) turbines provides a resilient demand floor. If AI demand wanes, supply chain resources can pivot to these other eager customers.