Form dimension values from measure ranges

Hello all, could recommend a way to achieve the following?
I'd like to form row dimensions composed of range buckets of a given measure; let's say in the dataset below, I want to find the total cost of all transactions of a certain quantity size, so transactions of quantity 5-9 are bucketed together, 10-14, etc. The following data

[
{
  Quantity: 10
  Cost: 1.00
},
{
  Quantity: 20
  Cost: 1.20
},
{
  Quantity: 5
  Cost: 1.00
},
{
  Quantity: 12
  Cost: 2.00
},
{
  Quantity: 7
  Cost: 1.00
}
]

Would result in the (sum) aggregate result of 
5-9: 2.00
10-14: 3.00
15-19: 0.00
20-24: 1.20
It seems that there would be a way to achieve this with calculated measures, but that results in additional measures. I figured your team would know a way to achieve it.