Top SaaS Companies in Scotland

List of the largest SaaS companies in Scotland, United Kingdom (Click to apply)

These are the top SaaS companies in Scotland, United Kingdom. In todays day and age its possible to launch a company from anywhere. We wanted to show some love for Scotland by featuring these 23 companies with combined revenues of $528.7M.

Together, Scotland SaaS companies employ over 957 employees, have raised $28.6M capital, and serve over 502K customers around the world.

$0 - $1M ARR
    $1M - $5M ARR
      $5M - $10M ARR
        $10M+ ARR
          1. 01
            Money Dashboard

            Money Dashboard

            Financial Services Software

            Developer of a personal finance management application designed to help users manage their money. The company's application pulls in bank statement data from any account across any UK bank and then automatically organizes the spending data, gives insight,

            $3M

            $16M

            500K

            35

            2009

            Scotland

          2. 02
            Blackbx

            Blackbx

            CRM and Related Software

            In venue marketing automation

            $2M

            $630K

            1K

            22

            2015

            Scotland

          3. 03
            Wallet.Services

            Wallet.Services

            Enterprise Software

            Developer of an online blockchain platform designed to manage technical issues and implement best practice for secure and robust operations. The company's platform manages the risk and complexity of investments and also accelerates the development of block

            $1M

            $2M

            0

            21

            2015

            Scotland

          4. 04
            PhysioWizard

            PhysioWizard

            Healthcare Software

            Developer of a clinically validated SaaS based self-assessment software designed to reduce costs and improve efficiencies in managing musculoskeletal disorders. The company's self-assessment platform provides data analytic insights, personalized self-help

            $1M

            $1M

            0

            22

            2010

            Scotland

          1-4 of 4

          What are the fastest growing companies doing?

          83 of the fastest growing companies that also have the most revenue have a clear expansion revenue strategy. On average, sales reps are selling plans where starting contract value is $4,606.

          Those same companies employ 1,678 sales reps that carry a quota. The most common compensation plan used by these companies is a 1:5 ratio of sales rep on target earnings (OTE) to quota. Meaning if a rep can earn $200k in base and commissions, quota target for that year is set at 5x, or $1m in new ARR closed.

          If you’re going to build a high growth SaaS company, you need to figure out how to scale with quota carrying sales reps.

          Which CEO’s are the most efficient capital allocators?

          We can measure this a variety of ways. Which company has the most revenue per employee? What about dollars in revenue compared to dollars raised? What about time, which founder went from $0 to $10m the fastest?

          Looking deeper at dollars in revenue compared to dollars raised, bootstrappers take the cake because they self fund (denominator zero). When we look at companies that have raised at least $1m, Actito is the clear winner generating $21m in revenue, growing 100% yoy, on just 1m raised ($.05 dollars raised for every $1 of revenue).

          Omnisend comes in a close second with $.08 dollars raised for every dollar of revenue. Doing $19m as of December 2020. Proposify gets honorable mention with $0.46 dollars raised (3.25m) for every dollar of revenue ($7m).

          The worst performers here are companies like YayPay with $3.68 dollars raised ($14m) per dollar of revenue ($3.8m). Many of the worst performers just did a round of funding and haven’t had a chance to deploy to drive growth yet. That makes this data less valuable but still illustrative.