★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★
VOL. XCIV, NO. 247
Kongsberg Gruppen ASA
KOG · Euronext Oslo Bors
Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.
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Overview
Kongsberg Gruppen ASA is now a more focused Norwegian defence and technology group after Kongsberg Maritime was demerged and listed separately on April 23, 2026. The continuing company is managed through Defence Systems, Missiles & Aerostructures, and Discovery, with Kongsberg Digital inside Other. Moats are strongest in allied government procurement relationships, qualification/design-in cycles, missile and air-defence backlog, and specialised subsea-to-space know-how. Q1 2026 backlog reached NOK 152 billion, with later June orders adding missile and NASAMS demand. The main risks are execution capacity, export controls, political procurement cycles, and valuation sensitivity after rapid defence-led growth.
Primary segment
Defence Systems
Market structure
Oligopoly
Market share
80% (reported)
HHI: —
Coverage
4 segments · 7 tags
Updated 2026-07-01
Segments
Defence Systems
Air defence, counter-UAS, remote weapon stations, naval combat systems and command-and-control systems
Revenue
44.8%
Structure
Oligopoly
Pricing
moderate
Share
80% (reported)
Peers
Missiles & Aerostructures
Naval Strike Missile, Joint Strike Missile, missile systems, space systems and F-35 aerostructures/MRO
Revenue
29.9%
Structure
Oligopoly
Pricing
moderate
Share
—
Peers
Discovery
Ocean-space and defence technology: subsea sensors, hydroacoustics, positioning, uncrewed platforms, small satellites and space services
Revenue
23%
Structure
Competitive
Pricing
moderate
Share
—
Peers
Kongsberg Digital and other activities
Industrial software for digital twins, energy simulation, well operations and asset-performance workflows
Revenue
2.3%
Structure
Competitive
Pricing
weak
Share
—
Peers
Moat Claims
Defence Systems
Air defence, counter-UAS, remote weapon stations, naval combat systems and command-and-control systems
Revenue share is Q1 2026 division revenue of MNOK 4,138 divided by KONGSBERG APM revenue of MNOK 9,234. Operating-profit share is normalised against the three disclosed division EBIT figures before unallocated/other losses.
Government Contracting Relationships
Legal
Government Contracting Relationships
Strength
Durability
Confidence
Evidence
Defence Systems is embedded in allied procurement channels for air defence, counter-drone and weapon-station systems.
Government Contracting Relationships moat: definition, examples, and stocks
Erosion risks
- Procurement cycles and defence budgets shift with politics
- Export licences or localisation requirements restrict delivery
- Prime contractors bundle alternative systems
Leading indicators
- New allied customer awards
- Book-to-bill and backlog growth in Defence Systems
- Export approval cadence and delivery milestones
Counterarguments
- Governments can re-tender or favor domestic suppliers
- Large US and European primes have broader portfolios and political reach
Long Term Contracts
Demand
Long Term Contracts
Strength
Durability
Confidence
Evidence
A large multi-year order backlog supports capacity utilisation and revenue visibility.
Long Term Contracts moat: definition, examples, and stocks
Erosion risks
- Backlog conversion delays or customer-driven schedule changes
- Cost inflation on long-duration fixed-price programs
- Supply chain constraints for critical electronics and effectors
Leading indicators
- Backlog coverage by delivery year
- Program milestone execution
- Gross/EBIT margin stability on large programs
Counterarguments
- Backlog is concentrated and lumpy by program
- Visibility does not eliminate execution risk
Design In Qualification
Demand
Design In Qualification
Strength
Durability
Confidence
Evidence
Weapon stations, naval combat systems and air-defence architectures require integration, testing and customer acceptance.
Design In Qualification moat: definition, examples, and stocks
Erosion risks
- Interoperability standards lower switching barriers
- Alternative systems qualify on the same platforms
Leading indicators
- New platform/program integrations
- Qualification and certification milestones
Counterarguments
- Qualified status can be lost if cost, schedule or performance slips
- Prime contractors can pressure subsystem margins
Missiles & Aerostructures
Naval Strike Missile, Joint Strike Missile, missile systems, space systems and F-35 aerostructures/MRO
Revenue share is Q1 2026 division revenue of MNOK 2,759 divided by KONGSBERG APM revenue of MNOK 9,234. Operating-profit share is normalised against the three disclosed division EBIT figures before unallocated/other losses.
Design In Qualification
Demand
Design In Qualification
Strength
Durability
Confidence
Evidence
JSM/NSM adoption requires platform integration, export approval and customer testing; F-35-related work has long qualification cycles.
Design In Qualification moat: definition, examples, and stocks
Erosion risks
- Alternative weapons qualify on the same aircraft
- Export controls or partner politics delay adoption
- Platform OEM changes integration priorities
Leading indicators
- New JSM/NSM customer nations
- Platform integration milestones
- Repeat orders from existing missile customers
Counterarguments
- Missile procurement remains competitive and politically sensitive
- Large missile houses have broader portfolios and production scale
Long Term Contracts
Demand
Long Term Contracts
Strength
Durability
Confidence
Evidence
A large missile/aerospace backlog gives multi-year visibility and supports capacity investment.
Long Term Contracts moat: definition, examples, and stocks
Erosion risks
- Backlog execution stretches suppliers and labor capacity
- Customer delivery schedules shift
- Cost escalation erodes fixed-contract margins
Leading indicators
- Backlog delivery-year mix
- Missile production throughput
- Supplier on-time delivery and quality
Counterarguments
- Backlog is not a moat if production cannot scale profitably
- Large orders can pressure working capital and supplier capacity
Capex Knowhow Scale
Supply
Capex Knowhow Scale
Strength
Durability
Confidence
Evidence
Missile production requires engineering know-how, specialised facilities and supplier scaling.
Capex Knowhow Scale moat: definition, examples, and stocks
Erosion risks
- Capacity additions overshoot demand
- Production learning-curve issues hurt cost and delivery
- Specialised inputs become constrained
Leading indicators
- Capex and new facility commissioning
- Missile unit production growth
- Program margin and warranty trends
Counterarguments
- Rivals are also expanding missile capacity
- Scale advantages may be shared with government-funded capacity
Discovery
Ocean-space and defence technology: subsea sensors, hydroacoustics, positioning, uncrewed platforms, small satellites and space services
Revenue share is Q1 2026 division revenue of MNOK 2,125 divided by KONGSBERG APM revenue of MNOK 9,234. Operating-profit share is normalised against the three disclosed division EBIT figures before unallocated/other losses.
Capex Knowhow Scale
Supply
Capex Knowhow Scale
Strength
Durability
Confidence
Evidence
Specialised sensing, autonomy, hydroacoustics and space payloads require deep engineering know-how.
Capex Knowhow Scale moat: definition, examples, and stocks
Erosion risks
- Rapid technology change and new entrants in sensors/autonomy
- Defense export control constraints on high-end tech
- Commercial ocean markets weaken while defence demand rises
Leading indicators
- R&D intensity and new product cadence
- Order intake growth in uncrewed/sensing product lines
- Space and defence mix within Discovery
Counterarguments
- Ocean-tech markets are fragmented with strong niche competitors
Design In Qualification
Demand
Design In Qualification
Strength
Durability
Confidence
Evidence
High share of customised deliveries implies qualification and integration work that makes supplier switching harder.
Design In Qualification moat: definition, examples, and stocks
Erosion risks
- Commoditisation of certain sensor components
- Customers standardise on open architectures to reduce lock-in
Leading indicators
- Share of revenue recognised over time (custom projects)
- Gross margin stability across project mix
Counterarguments
- Customers may prefer best-of-breed components and mix vendors
Kongsberg Digital and other activities
Industrial software for digital twins, energy simulation, well operations and asset-performance workflows
Kongsberg Digital is not a separate reportable segment and is reported within Other with Kongsberg IT, property and corporate functions. Revenue share is the Q1 2026 APM revenue residual after the three disclosed divisions, so it is an upper-bound proxy rather than pure Digital revenue.
Data Workflow Lockin
Demand
Data Workflow Lockin
Strength
Durability
Confidence
Evidence
Workflow automation and integrating multi-source industrial data increases switching costs once embedded in operations.
Data Workflow Lockin moat: definition, examples, and stocks
Erosion risks
- Competition from large industrial suites and hyperscalers
- Open data standards reduce platform switching costs
Leading indicators
- Net retention / renewal rates if disclosed
- Growth in connected assets and contracted customers
Counterarguments
- Industrial software markets are crowded; switching can be funded if ROI is clear
Ecosystem Complements
Network
Ecosystem Complements
Strength
Durability
Confidence
Evidence
Customer-specific industrial data models and capitalized development can complement software workflows, though this remains a small non-reportable unit.
Ecosystem Complements moat: definition, examples, and stocks
Erosion risks
- Capitalized software does not translate into commercial adoption
- Services-heavy deployments reduce product defensibility
Leading indicators
- ARR/renewals if disclosed
- KogniTwin deployment count
- Digital operating losses or capitalized development balance
Counterarguments
- Digital remains small and below reportable-segment size
- Large software vendors can bundle competing digital-twin tools
Evidence
C-UAS contract with Poland
Q1 2026 order intake was driven by a NOK 16 billion counter-UAS award to Poland.
US Foreign Military Sales programme
NASAMS export via Raytheon and the US FMS channel supports government contracting relationship depth.
order backlog, which now amounts to MNOK 80,030
Division backlog in Q1 2026 gives multi-year visibility; 48% was scheduled for 2028 or later.
remote weapon stations for the CAVS 6x6 programme
Vehicle-program integration supports design-in and qualification switching costs.
modularity and open architecture
NASAMS architecture supports lifecycle adaptation after customer selection.
Showing 5 of 18 sources.
Risks & Indicators
Erosion risks
- Procurement cycles and defence budgets shift with politics
- Export licences or localisation requirements restrict delivery
- Prime contractors bundle alternative systems
- Backlog conversion delays or customer-driven schedule changes
- Cost inflation on long-duration fixed-price programs
- Supply chain constraints for critical electronics and effectors
Leading indicators
- New allied customer awards
- Book-to-bill and backlog growth in Defence Systems
- Export approval cadence and delivery milestones
- Backlog coverage by delivery year
- Program milestone execution
- Gross/EBIT margin stability on large programs
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