EV Charging Profitability Case Interview: France

Key facts for this case: type, industry, difficulty and firm style.
Case typeProfitability
IndustryEnergy / EV Charging
DifficultyMedium
Firm styleMcKinsey

The case prompt

Voltigo operates 60 fast EV charging sites across France, serving both retail drivers and discounted fleet customers, primarily on highways and in major cities. Despite strong growth in EV adoption, Voltigo posted an operating loss in twenty twenty five after being profitable in prior years. The CEO wants a plan to return to profitability in twenty twenty six without materially harming customer satisfaction or network reliability.

Voltigo runs 60 DC fast-charging sites (average 8 stalls per site), with two customer segments: retail drivers (pay-as-you-go) and fleet customers (discounted contracts). In twenty twenty five, France's grid tariff changed for high-power connections, increasing demand charges tied to each site's monthly peak kW. Management suspects costs increased faster than pricing and utilization improvements, and wants a clear diagnosis and practical plan.

The exhibits

Exhibit 1

2025 P&L by Customer Segment (€M)2025 P&L by Customer Segment (€M) chart with 3 data points

2025 P&L by Customer Segment (€M)

Show the data behind Exhibit 1
2025 P&L by Customer Segment (€M)
SegmentRevenue (€M)Energy Cost (€M)Demand Charges (€M)Other Variable Costs (€M)Fixed Costs (€M)Operating Profit (€M)
Retail (pay-as-you-go)62.034.110.81.118.5-2.5
Fleet (contracted discounts)18.010.53.20.69.2-5.5
Total80.044.614.01.727.7-8.0

Exhibit 2

Typical Site Economics Inputs (Per Site)Site-level economics exclude corporate overhead (HQ, network operations, marketing), which is included in the network P&L's fixed costs.
Typical Site Economics Inputs (Per Site). Site-level economics exclude corporate overhead (HQ, network operations, marketing), which is included in the network P&L's fixed costs.
Site Type% of SitesSessions/DayAvg kWh/SessionBlended Price (€/kWh)Energy Cost (€/kWh)Peak Demand (kW)Demand Charge (€/kW-month)Fixed Site Opex (€/month)
Highway Hub40%220450.550.311,0002535,000
City Hub60%200300.520.308002520,000

Exhibit 3

Monthly Peak Pattern (Illustrative Load Curve)Representative daily load profile for a typical site. Monthly peak kW is set by the highest single interval (e.g., 18:00 at 1,200 kW), which drives the demand charge for the entire month.
Monthly Peak Pattern (Illustrative Load Curve)
Show the data behind Exhibit 3
Monthly Peak Pattern (Illustrative Load Curve). Representative daily load profile for a typical site. Monthly peak kW is set by the highest single interval (e.g., 18:00 at 1,200 kW), which drives the demand charge for the entire month.
HourAvg Site Load (kW)% of Monthly Peak
06:0018015%
07:0042035%
08:0090075%
09:0054045%
10:0036030%
11:0030025%
12:0078065%
13:0096080%
14:0048040%
15:0036030%
16:0042035%
17:001,08090%
18:001,200100%
19:0084070%
20:0054045%
21:0030025%
22:0018015%
Voltigo FastCharge TurnaroundMcKinsey

Profitability · medium

Voltigo FastCharge Turnaround

Energy / EV Charging

Practise this case free

How a strong candidate structures it

Goal: Return to profitability while maintaining customer satisfaction and network reliability.

01
1.Understand what changed recently
a.Revenue trends: pricing, volume, utilization, and mix
b.Cost trends: which categories increased most?
c.External factors: market changes, competition, regulation
02
1.Revenue analysis
a.Pricing architecture and realized revenue per session
b.Utilization patterns by location type and time period
c.Customer mix shifts and demand elasticity
03
1.Cost analysis
a.Variable costs: energy and transaction-linked operating costs
b.Semi-fixed/fixed costs: site operations and corporate overhead
c.Cost inflation versus operational inefficiency
04
1.Profitability decomposition
a.Which locations or cohorts are driving loss
b.Whether deterioration is broad-based or concentrated
05
1.Levers to improve profitability
a.Revenue: pricing, package design, utilization improvement
b.Costs: procurement, maintenance efficiency, footprint optimization
c.Guardrails: customer satisfaction and reliability metrics

Hypothesis: Profitability declined because cost growth outpaced realized revenue, with losses concentrated in a subset of locations or customer cohorts.

Question by question

  1. 1

    Case context

    Restate the situation and objective

    What is the client situation and what question are you being asked?

  2. 2

    Clarifying

    Clarifying questions

    What questions do you have for this case or what information would you like to know before starting?

  3. 3

    Structure

    MECE profitability structure

    How would you structure your analysis of this profitability problem?

    Drill the structure
  4. 4

    Analysis

    Segment Profit Diagnosis

    Using Exhibit 1, identify where the €8M operating loss comes from and the segment Voltigo should focus on first.

    Drill the brainstorming
  5. 5

    Math

    Site Economics Math

    Using Exhibit 2, calculate monthly energy margin and then net monthly profit for Highway Hubs and City Hubs. Assume 30 days per month.

    Drill the math
  6. 6

    Analysis

    Peak Demand Levers

    Using Exhibit 3, explain what the peak pattern implies about demand charges and name two practical ways to reduce peaks.

    Drill the brainstorming
  7. 7

    Synthesis

    Final Recommendation

    What is your recommendation to the CEO?

    Drill the synthesis

The worked path

The numbers that decide it

  • Voltigo lost €8.0M in 2025; Fleet is €-5.5M of that, Retail is €-2.5M. (Exhibit 1)
  • Demand charges are €14.0M in 2025, a very large cost line that can materially swing profitability. (Exhibit 1)
  • Exhibit 2 implies demand charges per month of ~€25k (highway) and €20k (city); scaled across 60 sites this is roughly consistent with ~€14M per year. (Exhibit 2)
  • Energy costs in Exhibit 1 are ~56% of revenue (44.6/80), consistent with per-kWh costs in Exhibit 2 being a large share of price. (Exhibits 1 and 2)
  • City hubs have lower energy margin per session due to shorter sessions (30 kWh vs 45 kWh) and a narrower price-cost spread, making them more sensitive to demand charges and fixed costs. (Exhibit 2)
  • Exhibit 3 suggests peaks are concentrated, meaning a few hours can set the monthly peak kW and drive high demand charges. (Exhibit 3)
  1. 1

    High-level diagnosis

    • Voltigo moved from about +€3M profit in 2024 (case fact) to -€8M in 2025 (Exhibit 1), a ~€11M swing.
    • Exhibit 1 shows the loss is concentrated in Fleet (-€5.5M), with Retail also negative (-€2.5M).
    • Demand charges are €14.0M in 2025 (Exhibit 1), consistent with the tariff change and likely a key driver of the swing.
  2. 2

    Mental-math unit economics using Exhibit 2 (assume 30 days/month)

    Step A — Monthly energy margin per site type

    Highway Hub

    Daily kWh = 220 sessions × 45 = 9,900

    Margin per kWh = 0.55 − 0.31 = 0.24

    Daily energy margin ~ 9,900 × 0.24 = 2,376

    Monthly energy margin ~ 2,376 × 30 = €71,280

    City Hub

    Daily kWh = 200 × 30 = 6,000

    Margin per kWh = 0.52 − 0.30 = 0.22

    Daily energy margin ~ 6,000 × 0.22 = 1,320

    Monthly energy margin ~ 1,320 × 30 = €39,600

    Step B — Net monthly profit per site type

    Highway Hub

    Demand charge = 1,000 × 25 = €25,000 per month

    Fixed site opex = €35,000 per month

    Net site profit ~ 71,280 − 25,000 − 35,000 = €11,280 per month (profitable)

    City Hub

    Demand charge = 800 × 25 = €20,000 per month

    Fixed site opex = €20,000 per month

    Net site profit ~ 39,600 − 20,000 − 20,000 = €-400 per month (marginally unprofitable)

    • Interpretation: Highway hubs are solidly profitable; city hubs are roughly breakeven or slightly negative because lower per-session revenue and shorter sessions don't fully cover fixed and demand costs. The network needs city hubs to improve utilization or reduce peaks to become profitable.
  3. 3

    Root causes to connect back to Exhibit 1

    • Fleet economics appear broken (Fleet is -€5.5M in Exhibit 1), suggesting discounts/terms are not covering peak-driven costs and/or fleets cluster charging at peak times.
    • Peak-driven demand charges are very large (€14M in Exhibit 1) and can be driven by a small number of peak hours (Exhibit 3), so peak management is a core lever.
    • City hubs, which make up 60% of the network, are marginally unprofitable (Exhibit 2), suggesting operational improvements there could have outsized impact.
  4. 4

    Recommendations (practical levers)

    • Fix Fleet profitability: renegotiate fleet pricing/discount rules and add simple incentives for off-peak charging; consider minimum monthly fees or tiered plans.
    • Reduce peak-driven costs: introduce peak/off-peak pricing and basic load management to reduce simultaneous high-power charging; improve queue/idle management.
    • Improve city hub economics: boost utilization through marketing, partnerships, and convenience features; renegotiate leases where possible.
  5. 5

    Risks and next steps

    • Risks: customer backlash to price changes, fleet churn, and brand impact from operational changes.
    • Next steps: analyze fleet charging time patterns, rank sites by demand charges and profitability, and pilot peak pricing/load management in a few regions before rolling out nationally.
Voltigo FastCharge TurnaroundMcKinsey

Profitability · medium

Voltigo FastCharge Turnaround

Energy / EV Charging

Practise this case free

Why this case

Generic profitability cases rarely make a tariff rule the central driver. This EV charging scenario tests whether you connect a few peak-load intervals to a monthly demand charge, then trace that cost through customer and site segments. The industry trap is fleet discounting: fleet loses €5.5M despite €18.0M of revenue, while city hubs are only marginally unprofitable. The recommendation must protect reliability while changing price and load behavior.

FAQ

Which segment should you fix first?
Start with fleet. It loses €5.5M, compared with €2.5M for retail, so it represents the larger share of the €8.0M network loss. Review discounted contract terms, minimum fees, and charging-time incentives first. Keep retail in scope because it is also negative, but fleet economics offer the clearest initial turnaround target.
Why are demand charges so important?
Demand charges are based on each site’s monthly peak kW, not average utilization. A few high-load intervals can set the charge for the entire month, so simultaneous charging can erase energy margin. In the case, demand charges total €14.0M. Peak/off-peak pricing, fleet time windows, and software load management directly address that mechanism.
Which sites are profitable?
Highway hubs are stronger: at 220 sessions per day and 45 kWh per session, a typical site produces about €11,280 in monthly net profit after energy margin, demand charges, and fixed opex. City hubs run at about negative €400 per month because shorter sessions and a narrower price-cost spread leave little room for fixed costs.
How can Voltigo improve profitability without hurting customers?
Use targeted pilots instead of a broad service cut. Renegotiate fleet discounts, offer off-peak incentives, and apply load management to reduce simultaneous peaks. For city hubs, test utilization and lease improvements. Monitor customer satisfaction, charger availability, peak kW, fleet retention, and site profit so reliability remains a hard guardrail during the turnaround.
Voltigo FastCharge TurnaroundMcKinsey

Profitability · medium

Voltigo FastCharge Turnaround

Energy / EV Charging

Practise this case free