How profitable is scooter sharing business?

How profitable is scooter sharing business?

The mobile sharing industry is projected to grow at a rapid rate over the next several years. The economic shift towards micro mobility has shown that bike and scooter use is going to grow from USD $2.5 billion in 2019 to USD $10.1 billion by 2027. With an increasing demand for affordable mobility services, industry leaders are making adjustments to their financial models to accommodate changing regulations, as well as, growing production costs.

We put together a breakdown of the expenses that are currently going in to establishing a profitable MaaS company along with some other considerations to keep in mind.

What are the current pricing levels for leaders in Scooter and Bike Sharing?

The pricing levels for different services being offered around the world vary based upon initial upfront costs, cost per allotted time and total ride duration. These prices are also subject to change depending on the regulatory requirements of each location.

Scooter sharing:

 

 

Bike sharing:

 

 

At ATOM Mobility we have a specific calculation to determine the total income a scooter or bike sharing service makes based on ride time and pricing fees. This allows adjustments to be made for the different price levels each company offers.

Income Equation: (Unlock Fee + (Average Ride Time X Minutes)) = x

x = Average Price per Ride

How does vehicle ridership impact the financial model?

Ridership is impacted by a multitude of factors, including availability to travel lanes, density of charging/docking stations, level of integration within the overall transportation network, along with the extent of rider outreach and vendor education. Vehicle use rates tend to increase based on volume of available scooters/bikes and ease of access to stations. The systems with larger fleets, as well as wider spread sharing infrastructure tend to experience higher ridership.

According to research conducted by the National Association of City Transportation Officials, scooters are making up to two times more rides per vehicle per day compared to bikes. Bike services complete anywhere from 0.5 to 2.5 rides per day at an average of 1, with trends showing a shift away from traditional pedal bicycles as the interest in e-vehicles continues to grow.

 

Image source: nacto.org

 

Image source: nacto.org

The region where services are being offered can also influence ridership. Across our partners at ATOM Mobility for scooters, we are seeing from 1.8 to even 5 rides per vehicle per day, with even higher rates in colder regions where the proper infrastructure is in place.

 

Image source: City of Chicago, E-scooter Pilot Evaluation

 

Image source: City of Chicago, E-scooter Pilot Evaluation 

An evaluation of the City of Chicago’s E-scooter pilot program found that over time the number of trips per day decreased from an average of 3.7 to 2.5. This aligns with the seasonality of mobility vehicles, which has been proven to impact ridership. Our research found that there can be decreases between 30 to 50 percent during the off-season.

The average rides per day you can count on for bike sharing services is 0.5 to 2.5, and 1.8 to 5 for scooter sharing services.

What additional factors need to be taken into consideration?

Once we have determined how many rides are being taken and the average price, we can calculate the average income per vehicle per month and outline cost positions. To begin growing revenue, mobility companies need to determine ways to extend the lifespan of their vehicles or off-set the costs once the limit is met. These factors are a major component in developing a successful financial model. In addition, it’s important to review the other expenses that impact vehicle maintenance and usage when constructing an accurate forecast.

Seasonality

Seasonality refers to the time of year a service operates as a result of environmental or weather factors. For mobility services, the usage season usually begins when the average temperature in a month is +10 Celsius or more.

Rides Per Vehicle Per Day

The number of rides each vehicle is taking in a day will impact both revenue but also maintenance and lifespan costs.

Rides

The rate for each ride will need to be considered when developing an overall financial plan for a company.

Maintenance Costs (ex. 13 percent of cost per ride)

Maintenance of the vehicle fleets is required and may vary depending on usage, as well as vehicle model.

Charging Costs (ex. 21 percent of cost per ride)

Whether the fleet uses docking stations or offers free floating services, the cost of charging the vehicles is necessary for continued use.

Bank Commission (ex. 3 percent cost per ride)

This includes any of the banking fees that are acquired.

Marketing (ex. 4 percent cost per ride)

Promoting the services being offered is an essential expense for business growth and expansion within the market.

Customer Support (ex. 5 percent cost per ride)

Most mobility services are offered through mobile apps that require regular support from customer service representatives to resolve customer inquiries and help with reputation management for the company.

IT System Support (ex. 5 percent cost per ride)

These services include IoT systems, sim cards, data, software and other technological requirements needed for the vehicles to operate.

Additional Costs (ex. 3 percent cost per ride)

Mobility companies like any other vehicle service are subject to additional costs such as insurance, city permits and/or other resources.

Our Excel-based Model

To help determine the overall impact of fluctuating costs for scooter and bike services, we developed a financial model that breaks down costs based on a percentage. Through this Excel-based Model we are able to maintain a proportionate evaluation of the expenses for each service.

 

source: ATOM Mobility

 

source: ATOM Mobility

To make calculations we assume an average ride time of 20 minutes then apply that to our Excel-based Model. Costs are shown as a percent from the ride price. Since cost and prices differ country by country, this model allows for the proportions to remain the same. For accurate forecast planning, we recommend using the average of two to four rides per vehicle per day on a period of wholesale. To learn more about our model, please email us.

Where do we go from here?

Mobility as a service is expected to continue growing as additional opportunities for expansion and profitability open in the market. At ATOM Mobility, we want to help your business thrive in the exciting new world of transportation services. There has not been a better time to join other industry leaders than right now. Reach out to us today so we can start building for the future, starting with our scooter sharing software.

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Why station-based bike sharing is coming back: research and real-life examples of successful businesses
Why station-based bike sharing is coming back: research and real-life examples of successful businesses

🚲 While dockless scooters and e-bikes often seems to be the popular choice, many of Europe's most popular shared mobility programs are station-based bike-sharing networks. Systems like Vélib' in Paris, Bicing in Barcelona, and BikeMi in Milan continue to grow by combining predictable parking, strong integration with public transport, and increasingly popular e-bike fleets. What these programs have in common, how they operate at scale, and why many cities continue investing in station-based bike sharing?

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During 2019-2025, most of the attention in shared mobility went to dockless scooters. They were quick to deploy, highly visible, and seemed like the future of urban transport. But while many scooter operators expanded, consolidated, or exited markets, station-based bike-sharing systems quietly continued growing.

According to the 2025 European Shared Mobility Index, public bike-sharing schemes generated around 238 million trips in Europe, while private bike-sharing operators recorded another 124 million trips. Together, bike-sharing services accounted for more than 360 million annual rides out of more than 700 million rides (the other half was generated by free-floating scooters). While the industry spent years experimenting with different models, station-based bike sharing remained remarkably resilient. In many cities, it has become part of everyday transport infrastructure rather than simply another mobility service.

BikeMi bike-sharing station

The bike-sharing market is becoming more structured

One of the clearest themes from the latest index is that the market is becoming more disciplined. Operators are no longer chasing every possible market. Instead, they are focusing on locations where shared mobility can operate sustainably over the long term. Cities are becoming more selective too, favouring systems that fit into wider transport networks rather than uncontrolled fleet expansion.

This shift has created favourable conditions for station-based bike-sharing systems. Unlike dockless fleets, station-based programs offer more predictable parking, easier fleet management, and stronger integration with public transport. These advantages become increasingly important as cities focus more on accessibility, compliance, and long-term mobility planning.

What do Europe's largest station-based systems have in common?

The strongest argument for station-based bike sharing is the performance of some of the world's largest programs.

Vélib' (Paris)

Paris' Vélib' remains one of the most successful bike-sharing systems in Europe. The network combines thousands of regular bicycles and e-bikes across an extensive station network that covers much of the city. Vélib' generated approximately 48.5 million trips in 2025, making it the highest-ridership public bike-sharing system in Europe.

What makes Vélib' particularly interesting is that, for many Parisians, it has become part of their daily commute alongside buses, metros, and trains. That level of adoption only happens when riders know they can reliably find and return bikes where they need them.

Bicing (Barcelona)

Barcelona's Bicing demonstrates how station-based systems can scale with city support and careful planning. The system combines regular bicycles and e-bikes and has become deeply integrated into the city's transport ecosystem. Bicing recently surpassed 100 million total rides, making it one of the most successful public bike-sharing programs globally. Barcelona is becoming a fascinating mobility case study: shared scooters were banned, private dockless bike-sharing is being phased out, while the city continues expanding the public Bicing network. A clear signal that some cities are prioritizing station-based and publicly managed micromobility over free-floating models.

The success of Bicing also reflects a broader trend in Spain, where public bike-sharing systems continue receiving strong institutional support.

BikeMi (Milan)

BikeMi in Milan offers a slightly different model. Rather than focusing on rapid expansion, the system grew steadily through dense station placement, strong commuter adoption, and integration with public transport. Now BikeMi combines traditional bicycles and e-bikes, providing a reliable transport option for both residents and visitors. Its success highlights an important lesson for operators: long-term utilisation often matters more than rapid fleet growth.

Although Vélib', Bicing, and BikeMi differ in scale and geography, they share several common characteristics. All three prioritise station density, integration with city transport networks, and predictable rider experiences.

Electric bikes are changing the economics

One of the biggest developments in station-based bike sharing over the past few years has been the rapid growth of electric fleets. Public bike-sharing fleets are now approximately 48% electrified. More importantly for operators, electric bikes consistently generate more trips than traditional bicycles. Public systems average around 2.7 trips per vehicle per day, while some electric bike fleets achieve up to 4.6 trips per vehicle per day.

Higher utilisation means more revenue per vehicle, a faster return on investment, lower idle fleet costs, and stronger demand throughout the day. Electric bikes also make bike sharing accessible to a broader audience. Longer distances become practical, hills become less of a barrier, and riders who would not normally choose a bicycle are often willing to use an e-bike instead. This is one reason many newer station-based systems are launching with mixed fleets or even fully electric fleets from day one.

Why cities are backing station-based systems again

Across Europe, municipalities are placing greater emphasis on organised mobility systems that can be integrated into existing transport networks. The European Shared Mobility Index highlights several examples, including public support programs for bike-sharing subscriptions in Spain, continued investment in Barcelona's Bicing network, and London's decision to renew its Santander Cycles contract through a long-term investment programme.

For cities, the appeal is relatively clear. Station-based systems provide predictable parking, reduce street clutter, simplify accessibility planning, and make it easier to integrate bike sharing with buses, trains, and metro systems. As regulations become stricter and public space becomes more valuable, these advantages are becoming increasingly important.

Managing a growing station network

As fleets grow, operators need visibility into station occupancy, vehicle availability, charging status, maintenance workflows, payments, rider activity, and customer support. Managing these processes manually quickly becomes difficult, especially when systems expand across multiple districts or cities.

Many operators use platforms such as ATOM Mobility's bike-sharing software to manage stations, vehicles, rider applications, payments, maintenance, and operational workflows through a single system rather than relying on multiple disconnected tools. The largest station-based programs did not become successful simply because they deployed more bikes. They built operational processes capable of supporting growth over many years.

The growth of systems like Vélib', Bicing, and BikeMi suggests that station-based bike sharing has found its place in modern cities long-term. The focus now is less on expansion alone and more on operating reliable, efficient networks that riders can depend on every da

Check out the full 2025 European Shared Mobility Index here: https://fluctuo.com/reports

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ATOM Connect 2026: The state of shared micromobility - key trends shaping the Industry
ATOM Connect 2026: The state of shared micromobility - key trends shaping the Industry

🛴 🚲 At ATOM Connect 2026 in Riga, operators, technology providers, and industry experts came together to discuss where the market is heading and what will define successful operators in the coming years. The discussions covered everything from fleet economics and regulation to AI, insurance, MaaS, and operator growth stories.

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Shared mobility continues to evolve quickly. At ATOM Connect 2026 in Riga, operators, technology providers, and industry experts came together to discuss where the market is heading and what will define successful operators in the coming years. The discussions covered everything from fleet economics and regulation to AI, insurance, MaaS, and operator growth stories.

One thing became increasingly clear throughout the event: The industry is entering a different phase. Growth is still happening, but the rules for winning are changing.

🚲 E-bikes are becoming the core shared mobility asset

For years, shared e-scooters dominated headlines and rapid expansion stories. Now the conversation is gradually shifting.

Research presented by Frost & Sullivan suggests that e-bikes are increasingly becoming the preferred shared micromobility mode in many markets because of stronger unit economics, lighter regulatory friction, and changing rider behavior.

Some numbers presented:

  • Average lifetime gross profit per shared scooter: ~$2,073
  • Average lifetime gross profit per shared e-bike: ~$4,336
  • Average scooter lifespan: ~3 years
  • Average e-bike lifespan: ~4 years

Despite higher vehicle costs, e-bikes generate stronger long-term economics. We also saw examples from operators:

  • Forest increased its e-bike fleet by 34%, while more cities increasingly support bike-focused mobility systems.

The interesting part is that e-bikes are gradually shifting from “fun transportation” toward everyday commuting infrastructure.

📈 Growth continues while fleet size remains relatively stable

One surprising trend discussed during the event was that the European shared micromobility market continues growing despite relatively stable fleet sizes.

Normally, growth comes from deploying more vehicles. Now something different appears to be happening:

  • Better utilization
  • Increased rider adoption
  • Improved retention
  • Subscription models

This is an important shift because it suggests the market is becoming more efficient. Instead of flooding cities with additional vehicles, operators are increasingly focused on generating more value from existing fleets.

💰 Subscriptions are becoming increasingly important

Historically, shared mobility relied heavily on per-ride revenue. That model is also changing.

Frost & Sullivan highlighted subscriptions as one of the strongest trends for 2026, with subscription-heavy models showing positive profitability dynamics. This aligns with what many operators shared during discussions. Subscriptions bring several advantages:

  • Higher retention
  • Predictable recurring revenue
  • Lower customer acquisition pressure
  • Better ride frequency

The industry may gradually move toward a model that looks more like SaaS and memberships rather than only pay-per-use transportation.

Ilus bike designed for bike sharing

🤖 AI is moving from experiments to core operations

AI was one of the strongest themes throughout the event. Only a few years ago, AI in mobility often meant pilots and interesting demos. Now operators increasingly use it for daily operations. Examples discussed included:

  • Demand forecasting
  • Rebalancing optimization
  • Predictive maintenance
  • Safety monitoring
  • Fraud detection
  • Dynamic insurance pricing
  • Battery optimization

Frost & Sullivan identified AI-powered demand anticipation as one of the highest-impact trends for operators in 2026.

Yuri Narozniak from datafolio also shared examples where AI predicts high-risk insurance zones and dynamically adjusts risk models based on ride behavior. Datafolio additionally introduced integrated rider insurance options, with approximately 25% long-term rider adoption.

🌍 Regulation is increasingly determining market strategy

Regulation has become one of the biggest variables affecting operator success. Different cities continue taking very different approaches. Examples discussed included:

Positive developments:

  • UK extending e-scooter trials until 2028
  • Netherlands approving road-legal e-scooters
  • Oslo doubling scooter capacity

Restrictions:

− Prague banning shared scooters

− Italy tightening compliance requirements

Cities want fewer operators, stronger compliance, and more accountability.

Winning a market increasingly depends on safety records, operational quality, data transparency, compliance history rather than simply deploying larger fleets.

Umob presentation

📱 MaaS continues connecting fragmented mobility services

Raymon Pouwels shared the growth story behind umob and the continued expansion of Mobility-as-a-Service. The long-term vision remains simple: One interface, multiple transportation services.

Users increasingly expect transportation to behave similarly to digital services: Open one app -> See all options -> Choose what works best.

The market continues moving toward stronger integration between operators and MaaS platforms.

🏆 What separates operators who will win in 2026?

One slide from Frost & Sullivan summarized it particularly well:

"The operators still standing in 2026 didn't win on product - they won on discipline, selectivity, and city relationships."

Looking across both research and operator stories, common patterns repeatedly appeared:

✔ Lean and efficient operations
✔ Strategic market selection
✔ Diversified revenue streams
✔ Strong partnerships
✔ Data-driven decisions
✔ Safety and compliance focus

Thank you again to all speakers, partners, and participants who joined us at ATOM Connect 2026 and contributed to the discussions. We are excited to continue building the future of mobility together.

Want to continue the conversation? 🚀

Our team will be attending Micromobility Europe (June 2-3, Berlin) and we'll have a booth there. If you're attending too, come say hello, grab a coffee, and let's talk mobility ☕

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