Heavy Equipment and Machinery OEMs: Caterpillar, Deere, and PACCAR

Introduction

Heavy equipment and machinery OEMs represent the most cyclical and most capital-intensive businesses within capital goods. Caterpillar, John Deere, PACCAR, Komatsu, and CNH Industrial manufacture the excavators, bulldozers, combine harvesters, mining trucks, and commercial vehicles that move earth, harvest crops, extract resources, and haul freight. Their revenues are tied directly to the capex cycles in construction, mining, agriculture, and transportation, making them the most analytically challenging companies to value in the sector.

Yet these companies are also among the most fascinating for industrials bankers to cover. Their global dealer networks create competitive moats that take decades to build. Equipment replacement cycles provide a demand floor that persists even in downturns. And an ongoing technology transformation (autonomous equipment, precision agriculture, connectivity platforms) is layering secular growth on top of the cyclical base, fundamentally changing the investment thesis for companies that have historically been viewed as pure cyclical plays.

The most valuable asset for a heavy equipment OEM is not its manufacturing capacity or its product technology. It is its dealer network. Caterpillar operates through approximately 160 independent dealers with over 2,700 branch locations worldwide. John Deere's approximately 2,000 dealer locations span the Americas, Europe, Asia, and Africa. PACCAR distributes through its Kenworth, Peterbilt, and DAF dealer networks.

Independent Dealer Network (Heavy Equipment)

A distribution system where independent businesses (dealers) hold exclusive geographic territories for selling and servicing an OEM's equipment. Dealers carry equipment inventory, provide financing and leasing options, maintain parts inventories for immediate service, offer warranty and maintenance services, and serve as the primary customer relationship interface. Building a global dealer network takes decades, and the investment required (dealer facilities, parts infrastructure, trained technicians) creates one of the strongest competitive barriers in all of industrials. No new entrant can replicate Caterpillar's or Deere's dealer networks.

The dealer network serves three critical business functions. First, it distributes new equipment to end customers, managing inventory, pricing, and customer financing. Second, it provides aftermarket parts and service, which generates recurring revenue for both the dealer and the OEM. Caterpillar's parts and services revenue through its dealer network provides a more stable revenue stream than new equipment sales. Third, it acts as a market intelligence network, giving the OEM real-time visibility into end-market demand, competitive dynamics, and customer needs across every geography.

Beyond new expansion demand (which is purely cyclical), heavy equipment benefits from a persistent replacement cycle that creates base demand independent of economic conditions. Construction equipment has a useful life of 10-15 years, agricultural equipment lasts 8-12 years, and commercial trucks operate for 5-8 years before requiring replacement.

This replacement cycle means that even in a deep recession, some level of equipment demand persists because the existing fleet is aging and eventually becomes uneconomical to repair. The replacement cycle does not eliminate cyclicality (customers can extend equipment life by 2-3 years during downturns by increasing maintenance spending), but it creates a demand floor that prevents revenue from collapsing to zero.

For bankers, the replacement cycle is most relevant when normalizing earnings. The mid-cycle demand level for heavy equipment includes both normalized expansion demand (tied to economic growth) and normalized replacement demand (tied to the installed base size and age). A common analytical error is to normalize only the expansion component while ignoring that the replacement cycle also fluctuates (customers defer replacements in downturns and catch up in recoveries).

The most significant change in heavy equipment over the past decade is the integration of technology that adds recurring revenue streams to what was historically a pure equipment sale business.

John Deere and precision agriculture. Deere has invested billions in precision agriculture technology, including GPS-guided steering, automated planting and spraying systems, and its See and Spray technology that uses computer vision and machine learning to identify individual weeds and spray them directly, reducing herbicide use by up to 77%. Most importantly for the business model, new 2025 and newer 8R and 9R series tractors are built "Autonomy Ready" from the factory, requiring only perception system hardware to enable full autonomous operation. These technology layers create recurring subscription and software revenue on top of the equipment sale, fundamentally improving the revenue quality mix.

Caterpillar and construction technology. Caterpillar has developed its Cat Command autonomous operation system, Cat Grade integrated grading technology, and connectivity platforms that monitor equipment health and utilization remotely. While Caterpillar's technology strategy is less advanced than Deere's in agriculture, the company is building a platform that will eventually enable autonomous operation of construction equipment, with mining haul trucks already operating autonomously at several mine sites.

PACCAR and commercial vehicles. PACCAR (Kenworth, Peterbilt, DAF) has invested in connected truck platforms, advanced driver assistance systems, and alternative powertrains (battery electric and hydrogen fuel cell trucks). PACCAR's business model benefits from a shorter replacement cycle (5-8 years for Class 8 trucks versus 10-15 years for construction equipment), which creates more frequent purchase decisions and a faster technology adoption rate.

Heavy equipment OEMs present several unique analytical challenges and opportunities for industrials bankers.

Cyclical normalization is most critical here. Because heavy equipment revenue can swing 30-40% peak to trough, the mid-cycle EBITDA normalization adjustment is larger for heavy equipment OEMs than for any other capital goods sub-segment. Getting the normalized earnings figure right is the single most important analytical task when valuing these companies.

M&A is concentrated in the supply chain, not among OEMs. The heavy equipment OEMs themselves rarely participate in M&A with each other (the market is already consolidated among a few global players). Instead, M&A activity occurs in their supply chains: OEMs acquiring technology companies (Deere's precision agriculture acquisitions), component suppliers being acquired by strategic buyers or PE sponsors, and aftermarket service businesses consolidating. Bankers covering this sub-segment generate most deal flow from the supply chain rather than from OEM-level transactions.