Airffic Aircraft InstituteAircraft, evidence and the market
HomeEconomics & revenueHow many deliveries make a service sustainable?

Economics & revenue / 02

How many deliveries make a service sustainable?

Each delivery must contribute enough to cover the network's fixed costs.

6 minResearch reviewed through 5 November 20265 sources
On this pageSome costs continue without flightsCalculate the contribution from one orderDensity helps the competing van tooDistinguish network reach from utilizationFollow the cause and effectSources for this lesson
Sir Airffic Go
Sir Airffic Go

Sir Airffic Go here. The same aircraft has very different economics at one delivery a day and one hundred. Demand patterns matter.

Our interpretation

Some costs continue without flights

Fixed costs continue even when orders are scarce, within a given operating scale. A hub lease and a scheduled team are examples. Variable costs rise with completed deliveries. The distinction depends on the period examined: a contract that is fixed this month may be adjustable next year.

More orders can spread a hub's fixed costs across more customers. But when capacity is exhausted, another site or team becomes necessary and fixed costs step upward. A growth forecast therefore needs both expected demand and the capacity needed to serve it at the promised service level.

Illustrative example

Calculate the contribution from one order

In an imaginary service, revenue is ¥1,200 per completed order and variable cost is ¥500. The remaining ¥700 is the contribution available to cover fixed costs. It is not final company profit because the hub, management and development activities still need to be paid.

With annual fixed costs of ¥1.4 million, the simplified break-even volume is 2,000 deliveries: ¥1.4 million divided by ¥700. The table assumes existing capacity can handle each volume. Discounts, refunds or extra failed attempts reduce the contribution and increase the number of successful orders required.

When more orders improve economics
More paying orders
Use spare capacity
Spread fixed costs
Lower cost per order

Requires spare capacity and a positive contribution per order. Weather, peak timing and capacity can change the result.

Our interpretation

Density helps the competing van too

Nearby orders can shorten flights and keep shared infrastructure busy. However, concentrated demand also lets a van deliver many parcels on one route. High population density is therefore not enough to identify the winner; package size, travel barriers, urgency and the existing network also matter.

A UK pathology-network study found cases where an additional stop on an existing van route cost less than dispatching a drone. The relevant alternative was a small change to a working route, not necessarily a dedicated vehicle making an entire return trip for one parcel.

Illustrative annual result: ¥1.4m fixed cost, ¥700 contribution/order
Completed ordersContribution less fixed cost
1,000−¥700,000
2,000¥0
3,000+¥700,000
Our interpretation

Distinguish network reach from utilization

Wing and Walmart's 2026 announcement describes plans to extend a network based on existing stores. DroneUp's earlier regional contraction shows that network expansion can also be reversed. Geographic reach alone does not measure the strength of a delivery business or demonstrate profitable customer demand.

Ask how many orders each location repeatedly receives and completes within the promised time. Eligible population, cumulative deliveries and planned sites measure different things. Keep them in separate columns, alongside the date and whether each number is a reported result or a forward-looking target.

Examine the timing and seasonality of demand as well as the average. A hub busy only at lunchtime may require more capacity than an average-load calculation suggests. Keep forecast orders separate from records of successfully completed work.

The idea to keep

Demand density helps only within operating capacity and against the right alternative.

Try the idea yourself

What changes if the same 100 daily orders arrive within one evening hour?

Sources for this lesson