Battery Swapping for Heavy Trucks: Infrastructure Asset or Financial Repackaging?

The useful question is not whether a battery can be swapped quickly. It is whether the swap network lowers the cost of freight electrification, or simply moves the battery, depreciation and technology risk from fleet balance sheets onto infrastructure investors.

CATL and Octopus Energy have framed their European heavy-truck battery swapping plan as a way to unlock electric trucking at scale. The announcement refers to more than 30 electric truck hubs, support for more than 300,000 electric lorries by 2035 and up to GBP 30 billion of private investment across the market.

Those numbers should not be read as a transport-technology claim. They should be read as an infrastructure finance claim.

If 300,000 heavy trucks are swap-enabled, Europe does not avoid buying batteries. It buys more batteries than trucks. It also buys station inventory, reserve packs, grid connections, charging hardware, fire systems, software, insurance, degradation management and replacement capex. The fleet operator may own less, but the system owns more.

That makes battery swapping interesting, but not automatically cheaper. It begins to resemble aircraft leasing, rail rolling-stock leasing, container leasing, telecom towers, data centres and grid storage: long-lived or semi-long-lived assets financed by specialist owners and monetised through contracted availability.

The core question is therefore simple:

Does battery swapping reduce cost, or merely change who owns the assets and who carries the financial risk?

Off Balance Sheet Does Not Mean Cheaper

The common claim is that removing the battery from the truck reduces vehicle capex. That is true for the buyer’s invoice. It is not the same as reducing system cost.

Every pack still has to be manufactured, purchased, financed, insured, monitored, cooled, repaired, recycled and eventually replaced. The only change is the identity of the capital provider.

In a truck-owned-battery model, the fleet operator buys a vehicle with a large electrochemical asset embedded in it. In a swapping model, the operator buys or leases a cheaper glider and then signs a long-term energy, availability or battery-as-a-service contract. The balance sheet moves from the haulier to the swap network. That is the same commercial question behind any serious fleet decarbonisation economics exercise: does the operating system improve, or has the cost simply moved?

That can still be valuable. Fleet operators often have limited appetite for battery residual value risk. A specialist asset owner may manage degradation better, finance at a lower cost, diversify across users and optimise batteries across stations. But the cost has not disappeared. It has been securitised, contracted and redistributed.

This is also where accounting matters. Under IFRS 16, many lease arrangements that used to be described as off balance sheet now create a right-of-use asset and lease liability for the customer if the customer controls the use of an identified asset. A generic access contract to a battery pool may be treated differently from a lease of specific packs, but the broad lesson remains: moving ownership away from the fleet does not make the economic obligation vanish. It changes its form.

The First Hard Number: Battery Inventory

Octopus and CATL have described a European network capable of supporting more than 300,000 electric lorries by 2035. The Financial Times has also reported the plan as a major European battery-swapping push. That figure is useful because it allows the hidden inventory question to be tested.

The minimum number of packs is not 300,000. At any moment, some batteries are in trucks, some are charging, some are waiting for the next vehicle, some are under maintenance, some are quarantined after damage, some are degraded below preferred range and some are reserve inventory needed for peak traffic and station reliability.

A simple inventory multiple can be estimated as:

Required packs = trucks in service + packs charging + reserve and maintenance inventory.

If a truck swaps once per day and the replacement battery needs five hours of controlled charging, the charging inventory alone is about 21% of the in-service fleet. Add 10% to 25% for reserve, damaged packs, maintenance, imbalance between stations and peak demand, and the multiple moves quickly into the 1.3x to 1.6x range. If charging is slower, demand is peaked or standards fragment, 2.0x is not a strange number.

The battery-cost assumption can be argued. BloombergNEF put average lithium-ion battery pack prices at USD 115/kWh in 2024, but heavy-truck swap packs are not commodity passenger-car packs. Some Chinese LFP pack costs may be below the GBP 120/kWh modelling assumption used here. European truck-grade packs, swap hardware, warranties, thermal systems, safety certification and import or localisation requirements may push the effective installed battery asset cost above it. At GBP 90/kWh, the 1.5x case is GBP 20.3 billion. At GBP 160/kWh, it is GBP 36.0 billion.

The important point is not the false precision. It is the order of magnitude. A network for 300,000 swap-enabled trucks is not mainly a few pieces of station machinery. It is a multi-tens-of-billions battery inventory platform.

The Station Is A Capital Warehouse

Diesel distribution has working capital, but diesel is not a long-lived asset sitting on shelves. A forecourt tank holds fuel inventory. A swap station holds depreciating electrochemical capital.

That distinction matters. A battery waiting at a station is not just energy. It is a financed asset with a cost of capital, degradation risk and opportunity cost. If it is idle, the owner is earning nothing while time, chemistry and technology move against it.

China’s heavy-truck swapping model shows why station utilisation is the centre of the economics. Public reporting on CATL’s Qiji heavy-truck standard points to standardised packs, swap stations designed around multiple battery positions and several Chinese truck manufacturers adopting compatible models. CATL has also extended standardised swapping into light trucks, according to CnEVPost reporting on the 2026 light-truck ecosystem. That is the right industrial logic: standardise the pack, aggregate demand and keep the station inventory turning.

But Europe is not China. European road freight is fragmented across borders, OEMs, route structures, regulations, grid queues and financing markets. The station cannot be analysed as a clever machine. It has to be analysed as a capital warehouse that earns money only when enough trucks use the same batteries often enough.

This is the second hard conclusion. A network large enough to serve 300,000 heavy trucks from 30 hubs is not a conventional charging network. Each hub becomes a large industrial load, battery warehouse and logistics node. Grid connection and power procurement become core investment risks, not background details.

Who Owns The Returns?

The returns do not naturally belong to the fleet operator. In a mature swapping model, the fleet operator buys uptime and energy access. The economic surplus, if there is any, is split among the parties that own the bottleneck assets.

If the model works, institutional investors earn infrastructure-like returns from contracted energy availability. If it fails, the losses are likely to sit where they usually sit in early infrastructure markets: equity sponsors, battery lessors, lenders, public guarantee schemes, insurers and ultimately customers through higher tariffs.

The Aircraft Leasing Analogy Is Useful, But Dangerous

Aircraft leasing became powerful because airlines needed expensive assets, aircraft had long economic lives, global secondary markets existed, residual values were analysable and lessors could diversify across airlines and geographies. Airlines exchanged ownership for flexibility and capital-light growth.

Battery swapping has a similar surface structure. The fleet operator avoids owning the most expensive component. A specialist owner buys the asset, leases access and earns a spread. Institutional capital can enter an operating asset class with contracted cash flows.

But the differences are material.

The aircraft analogy therefore supports the financing logic, not the residual value assumption. Batteries can be leased, but they are not aircraft. They are degrading, fast-improving, chemistry-dependent assets whose secondary value can be destroyed by a better cell, a new standard or a safety rule.

Four Simple Financial Scenarios

The model below is deliberately simple. It excludes electricity commodity cost and asks what infrastructure charge is required to cover capital return, battery replacement and operating cost. It assumes 500 kWh packs, 30 hubs and varying adoption, inventory, pack cost and cost of capital.

The result is intuitive. At high utilisation, battery swapping can look like infrastructure. At low utilisation, the capital charge becomes too large before electricity is even bought. A truck operator may still see lower vehicle capex, but the network tariff has to recover the capital somewhere.

The base case is not obviously impossible. GBP 0.17/kWh before electricity is high but not absurd if the alternative is downtime, expensive megawatt charging, payload constraints or depot power upgrades. The bear case is different. A GBP 0.90/kWh infrastructure charge before electricity would make the model very difficult to defend except in special operations where uptime is extremely valuable.

Utilisation Is The Whole Business Model

Battery swapping has high fixed cost, high working capital and low marginal labour per transaction. That is a classic utilisation business. The station owner wants trucks arriving predictably, using common packs, paying contracted tariffs and turning inventory quickly.

Several things can break that assumption:

• Slow truck adoption: stations are built ahead of demand and battery inventory sits idle.
• OEM fragmentation: multiple incompatible packs divide the same corridor demand into smaller pools.
• Megawatt charging improves: fleets may prefer direct charging if dwell time can be absorbed at depots or rest stops.
• Hydrogen gains share in payload-sensitive routes: the addressable swap market narrows.
• Battery energy density rises quickly: older packs become less useful before fully depreciated.
• Grid connections lag: stations exist physically but cannot charge enough packs at the required rate.
• Fleet routes are less regular than assumed: a station network built for corridors misses the real operating pattern.

In each case the consequence is the same: utilisation falls, inventory turns fall, and the required tariff rises.

Grid Services Are A Side Bet, Not The Base Case

Swap stations will be tempted to present grid services as an additional revenue stream. In principle, a site holding many batteries can charge when power is cheap, delay charging when the grid is stressed, and provide flexibility services.

That value should be included carefully, not used as a plug number.

First, most truck batteries are there to serve trucks. A pack reserved for frequency response may not be available for a late-arriving vehicle. Second, grid-service markets saturate. Frequency response and ancillary service revenues tend to fall when many batteries chase the same products. Third, market access depends on metering, aggregation, grid connection, software, warranty permissions and cycling limits.

The more defensible view is that grid services can reduce net energy cost and improve station economics at the margin. They should not be required to make the core business case work. If a station only earns its target return because every battery also earns attractive grid revenue, the model is relying on a revenue pool that competitors will erode.

Hydrogen Is A Capital Efficiency Comparison, Not A Culture War

The battery-versus-hydrogen debate usually becomes too simplistic. The infrastructure-finance comparison is more useful.

Hydrogen has high delivered fuel cost, immature supply chains and difficult station economics. The IEA’s Global Hydrogen Review 2025 shows how slowly low-emissions hydrogen supply is still scaling. But hydrogen does not require hundreds of thousands of expensive onboard energy assets to sit in station inventory. Battery swapping has lower energy cost, higher drivetrain efficiency and potentially lower maintenance, but it creates a very large battery balance sheet outside the truck. That is why the right comparison is not a generic BEV-versus-hydrogen argument, but a route-level infrastructure comparison, as in hydrogen economics and hydrogen truck deployment analysis.

Battery swapping wins if utilisation is high enough to amortise the inventory. Hydrogen becomes more interesting where the capital cost of idle batteries and the operational cost of battery mass outweigh the fuel-cost penalty. Neither answer is universal.

Standardisation Risk Is The Investment Risk

CATL’s advantage is not just cell manufacturing. It is the possibility of making a battery format into an infrastructure standard. If a pack becomes common across OEMs, the owner of that standard can aggregate demand, reduce stranded inventory and make stations financeable.

But European OEMs have reasons to resist a single externally controlled battery standard. Batteries affect vehicle architecture, payload, safety certification, service strategy, warranty economics, software control, customer data and aftermarket revenue. A truck maker may not want the most valuable part of the electric vehicle ecosystem to be controlled by a battery supplier and energy retailer.

European regulation currently gives strong signals for public charging and hydrogen refuelling through the Alternative Fuels Infrastructure Regulation. It does not create an equivalent mandatory heavy-truck battery swapping standard. The separate EU Batteries Regulation also matters for lifecycle, recycling and producer-responsibility assumptions. That leaves the market to discover standards commercially, unless policymakers intervene later on interoperability.

Competition law could also matter. A dominant battery standard can create efficiency, but it can also create gatekeeping power. Investors should ask whether the network is open, whether OEMs can participate on fair terms, who controls battery data and whether fleets can switch providers without replacing vehicles.

The Hidden Assumptions

The model only works if several assumptions hold at once:

• High utilisation: stations must process enough swaps to turn inventory rapidly.
• Cheap finance: battery inventory is capital-intensive, so WACC has a direct effect on tariff levels.
• Stable standards: packs must remain usable across many trucks and model years.
• Predictable degradation: warranties and tariffs depend on knowing how packs age under heavy cycling.
• Stable battery prices: rapid price falls help future procurement but damage the residual value of existing packs.
• Cheap electricity: the infrastructure charge is only one part of the delivered energy cost.
• Grid access: hubs need industrial-scale connections, not just attractive land near roads.
• Fleet density: corridors need enough common users to justify local battery inventory.
• Government support: grants, planning, grid acceleration or guarantees may be needed before demand is bankable.
• Residual value: second-life or recycling value must be real enough to underwrite financing assumptions.

The two assumptions that matter most are utilisation and standardisation. Cheap debt can improve a weak project, but it cannot rescue a station built for the wrong trucks or an inventory pool split across incompatible formats.

Is This Becoming A Regulated Infrastructure Asset?

It may be. The more the model scales, the less it looks like a vehicle feature and the more it looks like essential freight infrastructure.

A mature swap network would have the characteristics infrastructure investors like: high upfront capex, local monopoly tendencies, long-term contracts, predictable demand from essential services, grid interconnection, real assets and potential inflation-linked tariffs. It could also become policy-relevant if governments depend on it for zero-emission freight corridors.

That creates a possible path toward quasi-regulated infrastructure. If fleets cannot decarbonise without access to swap corridors, and if those corridors require patient capital, governments may eventually be asked to support standardisation, guarantee utilisation, regulate access or allow utility-style returns.

That would not be unusual. Electricity distribution, telecom towers, rolling stock and some energy-storage assets all moved from technology deployment into infrastructure finance once the bottleneck asset became essential. Battery swapping could follow that path. It sits close to the same questions explored in battery storage, infrastructure deployment and technology commercialisation: where does the investable bottleneck actually sit?

But there is a catch. Regulated or quasi-regulated infrastructure normally requires durable assets and predictable demand. Batteries are not naturally durable in the same way as wires, towers or concrete. The station may last. The battery pool turns over. That means the model needs both infrastructure finance and asset-leasing discipline.

The Answer

Battery swapping can reduce economic cost, but only under specific operating conditions.

It creates genuine value when it keeps trucks moving, avoids uneconomic depot power upgrades, standardises battery assets across many vehicles, charges packs in ways that extend life, buys electricity intelligently and turns inventory fast enough to earn an infrastructure return. In that case, the battery owner is not merely hiding capex. It is performing a useful financial and operational function that a fleet operator may be poorly placed to manage.

It becomes financial engineering when the main benefit is that the truck invoice looks lower while the system carries more idle batteries, more residual value risk and more long-term contractual obligation. In that case, fleet operators are not escaping battery economics. They are exchanging asset ownership for an infrastructure service contract.

The distinction is not philosophical. It is measurable. Ask five questions:

1. How many packs are required per truck after charging dwell time and reserve inventory?
2. How many swaps per station per day are contractually supported, not merely forecast?
3. Who absorbs degradation, obsolescence, fire, insurance, recycling and residual value risk?
4. What infrastructure charge per kWh is required before electricity cost?
5. What happens to that charge if utilisation is 30% lower than planned?

If those answers are strong, battery swapping is an investable infrastructure model. If they are weak, it is a clever way to move an expensive battery from one balance sheet to another.