VOL. XCIV, NO. 247

★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★

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Monday, December 29, 2025

Deere & Company

DE · New York Stock Exchange

Market cap (USD)$126.2B
SectorIndustrials
CountryUS
Data as of
Moat score
63/ 100

Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.

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Overview

Deere & Company is a global manufacturer of agricultural and construction equipment with a captive finance arm, organized into four reported segments: Production & Precision Agriculture, Small Agriculture & Turf, Construction & Forestry, and Financial Services. Its moat is anchored in the John Deere brand and a scaled dealer/service network that supports uptime through parts availability and aftersales programs. Deere is also building workflow-level switching costs via connected machines, telematics, and the John Deere Operations Center, which integrates equipment data with customer decision tools and dealer support. Financial Services supports equipment demand through point-of-sale financing and benefits from investment-grade funding access, but faces intense competition and credit-cycle risk.

Primary segment

Production & Precision Agriculture

Market structure

Oligopoly

Market share

HHI:

Coverage

4 segments · 7 tags

Updated 2025-12-29

Segments

Production & Precision Agriculture

Large-scale agricultural equipment and integrated precision agriculture technology

Revenue

38.4%

Structure

Oligopoly

Pricing

moderate

Share

Peers

AGCOCNH6326.T

Small Agriculture & Turf

Small/medium agricultural equipment, hay & forage, and turf care equipment

Revenue

22.8%

Structure

Competitive

Pricing

weak

Share

Peers

AGCOCNH6326.TTTC

Construction & Forestry

Construction equipment, roadbuilding equipment, and forestry equipment (including smart/precision jobsite solutions)

Revenue

25.4%

Structure

Oligopoly

Pricing

moderate

Share

Peers

CATCNH6301.T6305.T+2

Financial Services

Captive equipment financing for agricultural, turf, construction and forestry equipment (retail/wholesale financing, leases, revolving accounts, extended warranties)

Revenue

12.7%

Structure

Competitive

Pricing

none

Share

Peers

Moat Claims

Production & Precision Agriculture

Large-scale agricultural equipment and integrated precision agriculture technology

Revenue share computed from FY2025 segment external net sales ($17.311B), external finance & interest income ($0.043B), and external other income ($0.211B) versus consolidated net sales and revenues ($45.684B) in Deere's FY2025 Form 10-K segment note.

Oligopoly

Data Workflow Lockin

Demand

Strength: 4/5 · Durability: medium · Confidence: 4/5 · 2 evidence

Connected-machine telematics and the John Deere Operations Center tie equipment, agronomic/job data, and dealer support workflows together, increasing switching friction for customers standardizing on Deere fleets and digital tools.

Erosion risks

  • Data portability requirements and open-ecosystem regulation
  • OEM/third-party interoperability reduces platform differentiation
  • Cybersecurity incidents harming trust in connected services

Leading indicators

  • Connected machine penetration and paid digital feature adoption
  • Deere Operations Center active users and integration breadth
  • Precision upgrade/retrofit attach rates via dealers

Counterarguments

  • Farm management software and telematics can be vendor-agnostic, enabling multi-OEM fleets
  • Competing OEMs are investing heavily in similar connectivity and automation capabilities

Service Field Network

Supply

Strength: 4/5 · Durability: durable · Confidence: 4/5 · 1 evidence

A large independent dealer network plus proprietary parts availability and aftersales support (maintenance/repair contracts, warranty extensions, connected support) helps maximize uptime and reinforces preference for Deere equipment.

Erosion risks

  • Dealer consolidation or channel conflict reducing service quality
  • Right-to-repair initiatives reducing proprietary service advantage
  • Parts supply disruptions or quality issues

Leading indicators

  • Dealer density and service response time metrics
  • Parts fill rates and backorder/lead-time trends
  • Aftermarket/service revenue resilience through cycles

Counterarguments

  • Independent dealers can represent or add competing lines, diluting exclusivity
  • Third-party parts and independent service networks can reduce dependence on OEM channels

Brand Trust

Demand

Strength: 4/5 · Durability: durable · Confidence: 4/5 · 1 evidence

John Deere brand recognition is explicitly cited as a competitive factor; in premium agricultural equipment, brand and perceived reliability support purchase preference and pricing.

Erosion risks

  • Reliability/quality failures or safety incidents
  • Perceived technology/automation lag versus peers
  • Geopolitical backlash affecting brand preference in certain regions

Leading indicators

  • Price realization and mix (large tractors/combines) versus peers
  • Customer satisfaction and warranty/recall trends
  • Share of wallet among large-farm customers and fleet standardization

Counterarguments

  • Farm economics are cyclical; in downturns, buyers may prioritize price over brand
  • Competitors can match performance/technology features and compete aggressively on total cost of ownership

Small Agriculture & Turf

Small/medium agricultural equipment, hay & forage, and turf care equipment

Revenue share computed from FY2025 segment external net sales ($10.224B), external finance & interest income ($0.045B), and external other income ($0.133B) versus consolidated net sales and revenues ($45.684B) in Deere's FY2025 Form 10-K segment note.

Competitive

Service Field Network

Supply

Strength: 3/5 · Durability: durable · Confidence: 3/5 · 1 evidence

Sales and support through a broad dealer network (and, in turf, distribution through major mass retailers) improves availability, service access, and reduces adoption friction for customers.

Erosion risks

  • Mass retailers/private-label products increasing price competition
  • Dealer economics pressured in downturns (service capacity and inventory)
  • Commoditization in entry-level and mid-tier equipment

Leading indicators

  • Dealer throughput and inventory levels in small ag/turf
  • Promo intensity and discounting in residential turf
  • Parts/service attachment in the installed base

Counterarguments

  • Many products compete in fragmented markets where price and availability dominate
  • Channel access is not exclusive; rivals also have strong dealer and retail distribution

Brand Trust

Demand

Strength: 3/5 · Durability: medium · Confidence: 3/5 · 1 evidence

Deere brand recognition supports customer preference in many regions, but turf and compact equipment face strong brand competition and price sensitivity.

Erosion risks

  • Consumers trading down in housing/consumer downturns
  • Competitor innovation and feature parity narrowing perceived differentiation

Leading indicators

  • Market share trend in commercial mowing and compact tractors
  • Retail sell-through and dealer order rates
  • Net promoter score and product review trends

Counterarguments

  • In turf, Toro and other specialists can be preferred in key professional niches
  • Feature parity and commoditization can limit the brand premium in lower price tiers

Construction & Forestry

Construction equipment, roadbuilding equipment, and forestry equipment (including smart/precision jobsite solutions)

Revenue share computed from FY2025 segment external net sales ($11.382B), external finance & interest income ($0.012B), and external other income ($0.192B) versus consolidated net sales and revenues ($45.684B) in Deere's FY2025 Form 10-K segment note.

Oligopoly

Service Field Network

Supply

Strength: 4/5 · Durability: durable · Confidence: 4/5 · 1 evidence

Dealer and company-owned sales/service channels plus training and parts support improve uptime for fleet customers; this service footprint is hard to replicate quickly at scale.

Erosion risks

  • Rental channel concentration shifting bargaining power to large fleet buyers
  • Dealer consolidation and service capacity constraints
  • Supply chain disruptions affecting parts availability

Leading indicators

  • Rental fleet penetration and large-account win rates
  • Parts fill rates and service response times
  • Warranty claim trends and uptime metrics in connected support

Counterarguments

  • Large contractors can multi-source fleets and negotiate service terms across OEMs
  • Competitors with strong dealer networks (e.g., Caterpillar) can match service coverage

Data Workflow Lockin

Demand

Strength: 3/5 · Durability: medium · Confidence: 3/5 · 1 evidence

Smart construction solutions (machine control, automation, telematics) and access to the John Deere Operations Center can embed Deere into jobsite workflows and maintenance planning, raising switching friction for connected fleets.

Erosion risks

  • Interoperable jobsite platforms reduce proprietary workflow lock-in
  • Third-party machine control ecosystems (e.g., Trimble/Topcon) remaining OEM-agnostic
  • Rapid competitor feature parity in automation and connectivity

Leading indicators

  • Attach rate of machine control/automation packages
  • Connected fleet adoption and active usage of jobsite data tools
  • Software/service recurring revenue growth within CF

Counterarguments

  • Contractors often standardize on third-party machine control that works across OEMs
  • Workflow tools may be multi-homed; switching costs can be manageable for large fleets

Brand Trust

Demand

Strength: 3/5 · Durability: medium · Confidence: 3/5 · 1 evidence

Brand recognition can support bid lists and customer preference, but construction markets are highly competitive with strong incumbents and procurement driven by total cost and uptime.

Erosion risks

  • Price competition and discounts in cyclical downturns
  • Competitor quality/uptime parity and stronger residual values

Leading indicators

  • Price realization and backlog/order trends in CF
  • Dealer/rental partner satisfaction and coverage expansion
  • Residual value trends for used equipment

Counterarguments

  • Caterpillar and Komatsu have entrenched positions and strong dealer ecosystems
  • For many fleet buyers, brand is secondary to uptime, dealer proximity, and total cost

Financial Services

Captive equipment financing for agricultural, turf, construction and forestry equipment (retail/wholesale financing, leases, revolving accounts, extended warranties)

Revenue share computed from FY2025 FS external finance & interest income ($5.351B) and external other income ($0.470B) versus consolidated net sales and revenues ($45.684B) in Deere's FY2025 Form 10-K segment note.

Competitive

Suite Bundling

Demand

Strength: 3/5 · Durability: medium · Confidence: 4/5 · 1 evidence

Point-of-sale captive financing (dealer wholesale and customer retail notes/leases) can increase close rates and attach to equipment sales; promotional financing can be coordinated with equipment operations.

Erosion risks

  • Competitors and banks matching promotional terms
  • Higher interest rates reducing financing demand
  • Credit losses rising in downturns and used-equipment values falling

Leading indicators

  • Financing penetration rate on Deere equipment sales
  • Dealer wholesale note balances and turn rates
  • Credit losses, delinquency, and used-equipment collateral values

Counterarguments

  • Customers can finance through banks and leasing companies, limiting stickiness
  • Promotional financing can compress spreads and may be competed away

Cost Of Capital Advantage

Financial

Strength: 3/5 · Durability: medium · Confidence: 4/5 · 1 evidence

Investment-grade funding access (including commercial paper and bank lines) and strong credit ratings can lower the captive's funding costs versus smaller finance providers, supporting competitive retail/wholesale terms through cycles.

Erosion risks

  • Credit rating downgrade increasing funding costs
  • Funding market stress reducing access to short-term markets
  • Regulatory changes affecting securitization or consumer credit

Leading indicators

  • Debt rating/outlook changes and funding spreads
  • Commercial paper outstanding and unused credit line levels
  • Net interest margin / financing spreads in FS results

Counterarguments

  • Large banks and diversified finance companies can have equal or lower funding costs
  • Captive funding advantage matters less if competitors subsidize rates to win equipment share

Evidence

sec_filing
Deere & Company Form 10-K (FY ended Nov 2, 2025) - Business (technology/telematics/John Deere Operations Center)

Describes telematics connecting owners, managers, and dealers via the John Deere Operations Center with real-time equipment data.

sec_filing
Deere & Company Form 10-K (FY ended Nov 2, 2025) - Parts and Services (precision tech integrated; connected support)

States precision technology is integrated into equipment and supported through the Operations Center with service alerts and predictive repairs/maintenance.

sec_filing
Deere & Company Form 10-K (FY ended Nov 2, 2025) - Operating Segments / Distribution; Parts and Services

Explains equipment is marketed primarily through independent retail dealer networks and highlights the importance of timely parts/services and customer assistance programs.

sec_filing
Deere & Company Form 10-K (FY ended Nov 2, 2025) - Competition (competitive factors; brand recognition)

Lists principal competitive factors and notes that John Deere brand recognition is a competitive factor in North America and many other regions.

sec_filing
Deere & Company Form 10-K (FY ended Nov 2, 2025) - SAT distribution (dealers; mass retailers)

States SAT equipment is sold primarily through independent retail dealer networks and that the segment builds turf products for sale by mass retailers (including The Home Depot and Lowe's).

Showing 5 of 11 sources.

Risks & Indicators

Erosion risks

  • Data portability requirements and open-ecosystem regulation
  • OEM/third-party interoperability reduces platform differentiation
  • Cybersecurity incidents harming trust in connected services
  • Dealer consolidation or channel conflict reducing service quality
  • Right-to-repair initiatives reducing proprietary service advantage
  • Parts supply disruptions or quality issues

Leading indicators

  • Connected machine penetration and paid digital feature adoption
  • Deere Operations Center active users and integration breadth
  • Precision upgrade/retrofit attach rates via dealers
  • Dealer density and service response time metrics
  • Parts fill rates and backorder/lead-time trends
  • Aftermarket/service revenue resilience through cycles
Created 2025-12-29
Updated 2025-12-29

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