Startup

The Charger Nobody Uses Still Costs What It Cost

Building a charging network is a capital intensive business whose economics turn on how many hours a day each connector is occupied. Almost everything else about the model follows from that single number.

↩ Looking BackPart of the 2020 to 2026 retrospective, written in July 2026. The date below marks the 2022 events this piece revisits, not when it was published, so it draws on everything known through mid 2026.
Nathan Xiang·January 3, 2022

A Fixed Asset Waiting for Traffic

A fast charging site requires the chargers themselves, electrical infrastructure including transformers and switchgear, civil works, grid connection, and land. Costs per site run into the hundreds of thousands and can exceed a million for a large installation.

Once built, the marginal cost of a charging session is the electricity plus payment processing plus a small amount of maintenance. The margin on that is thin.

So the return depends almost entirely on utilisation, meaning what share of the day each connector is delivering energy.

The Arithmetic

UtilisationSessions per connector per dayEconomics
5 percentA fewLoss making
15 percentSteady useApproaching viability
25 percent and aboveBusy through the dayAttractive

The problem is the trajectory. A site built where electric vehicle adoption is still low starts at very low utilisation and remains loss making for years while the vehicle fleet grows around it.

That is a familiar infrastructure pattern and it means charging networks are financed on a fleet forecast rather than on current demand, which is exactly the kind of assumption that has gone wrong in other industries.

Building ahead of demand is necessary, because drivers will not buy vehicles without chargers and chargers do not pay without vehicles. Somebody has to be wrong first, and the question is only who funds the waiting.

The Cost Nobody Expects

The item that most damages early economics is the demand charge: a component of commercial electricity tariffs based on the highest rate of consumption during a billing period rather than on total energy used.

It exists because a utility must size its infrastructure for peak draw, and it is entirely reasonable for a factory running continuously.

For a charging site it is punishing. A single vehicle drawing at high power for fifteen minutes can set the peak for the entire month, and the demand charge is then spread across whatever small volume of energy the site sold. At low utilisation the demand charge alone can exceed the revenue from the electricity.

The responses are on site battery storage to shave the peak, negotiated tariffs specific to charging, and regulatory relief in several jurisdictions that phases in demand charges as utilisation grows. Whether a site has addressed this is one of the more informative facts about it.

Siting Decides the Outcome

Utilisation is determined mostly by location, and the criteria are not obvious.

The best sites combine traffic volume, a reason to stop for twenty to forty minutes, visibility, and adequate existing electrical capacity. Retail locations with food and restrooms outperform isolated sites substantially, because the alternative to charging while doing something else is charging while doing nothing.

Existing electrical capacity is frequently the binding constraint. A site requiring a new distribution feeder or a transformer upgrade faces both cost and a utility timeline measured in months or years, which has been a larger obstacle to deployment than equipment availability.

The Structural Split

The industry divides along a line that determines the business model.

Networks that own and operate sites take the utilisation risk and capture the revenue. Their returns depend on siting quality and fleet growth.

Networks that sell hardware and software to site hosts, who own the chargers themselves, avoid utilisation risk and earn on equipment and subscription fees. Their exposure is to how many sites get built rather than how busy they are.

The second model produced faster revenue growth and, in several cases, disappointed customers whose owned chargers were unprofitable, which eventually affects new orders.

A third model, vehicle manufacturers operating proprietary networks, treats charging as a cost of selling cars rather than a business, which allows an entirely different return requirement and has produced the most reliable networks.

Reliability as a Competitive Variable

An unusual feature of this market is that reliability became a differentiator, which is rare in infrastructure.

Studies of charger uptime have repeatedly found substantial failure rates on some networks, with drivers arriving at chargers that do not work. Since a failed charge is a far worse experience than a slow one, reliability affects network choice more than price does.

Public funding programmes responded by attaching uptime requirements to subsidies, which is an acknowledgement that building chargers is not the same as providing charging.

The Bottom Line

Charging network economics reduce to utilisation against a large fixed cost, and every other feature of the business is downstream of that. Demand charges make low utilisation worse than it looks, siting determines utilisation more than anything the operator does afterward, and grid connection timelines constrain deployment more than equipment. The networks that work are the ones that treated it as a real estate and electrical engineering problem rather than as a technology one.

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