
Compare the full 10-year cost of your EV fleet against your current combustion vehicles — fuel, maintenance, infrastructure, incentives, and residual value — all in one model.
Electric vehicles carry higher upfront costs but dramatically lower operating expenses over their lifetime. Most operators who delay electrification do so because they compared purchase prices — not total costs. Our TCO model is built on your actual fleet data: vehicle types, daily mileage, shift patterns, fuel spend, and utility rate schedules. We model every cost category across a 5, 10, or 15-year horizon so you can see exactly when and by how much EVs come out ahead.

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Energy cost per mile for an electric truck is typically 60–70% lower than diesel. Maintenance costs drop by 30–40% due to fewer moving parts and no oil changes or exhaust system servicing. Our model separates these savings by vehicle class and duty cycle so you can see which vehicles in your fleet generate the strongest return first — and prioritize those for phase one deployment.

Charger hardware, installation, grid upgrades, and civil works are real costs — but they are one-time capital expenses that get amortized across the fleet lifetime. We model these per vehicle so they can be compared fairly against the ongoing fuel and maintenance savings. We also pre-map every applicable incentive to your site, fleet type, and timeline so you never leave money on the table.
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The more operational data you can share, the more accurate the model. At minimum we need your vehicle types, approximate daily mileage per vehicle, shift patterns, current fuel spend, and your site location for utility rate lookups. If you have maintenance records and existing telematics data, we can use those too — but we can also work with industry benchmarks where your own data is incomplete.
A simple payback calculation only looks at when your upfront investment is recovered. A full TCO analysis accounts for every cost over the vehicle's operating life — fuel, energy, maintenance, infrastructure, incentives, residual value, and carbon compliance costs — and compares the two fleets year by year. This gives you a complete financial picture including cumulative savings, not just a break-even date.
Yes. We run the analysis across multiple fuel price scenarios — a base case using current prices, an upside case reflecting historical diesel price trends, and a downside case for sensitivity testing. Because diesel prices have historically trended upward, the EV case typically improves the further out you model. You can see exactly how sensitive your break-even year is to fuel price assumptions.
We map incentives specific to your location, fleet type, and vehicle class. For European operators this includes applicable EU and national subsidy programs, energy tariff structures, and CO₂ compliance cost avoidance. For North American operators we include federal tax credits, state-level clean vehicle programs, and utility rebates. Incentives are applied as reductions to acquisition cost or infrastructure CAPEX, and we flag expiration dates where relevant.
Yes. Most fleets we analyze include a mix of vehicle classes — light commercial vehicles, medium-duty trucks, heavy-duty trucks, or buses — each with different duty cycles, energy requirements, and candidate EV models. We model each class separately and roll them up into a fleet-level total, so you can see which vehicle types drive the strongest financial case and sequence your deployment accordingly.
Most assessments are completed within 5 business days of receiving your fleet data. For larger or more complex fleets with multiple sites and vehicle classes, allow up to 10 business days. The output is a structured report with the full model, key findings, and a one-page executive summary you can share directly with finance or board stakeholders.