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DoorDash Food Delivery Prices in the US (2026): Order-Size Fee Benchmarks for Owner-Operators

A practical U.S. guide to DoorDash checkout economics by order size. Understand delivery fee, service fee behavior, and how to set safer menu floors.

Published Feb 14, 2026
doordash food delivery pricesdoordash feesdelivery pricingrestaurant marginowner operatorusa
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When owners say, “DoorDash customers think we are expensive,” they are usually seeing fee-stack perception, not only base menu price.

If you do not model order-size economics, low-ticket orders can quietly drag channel margin.

Quick Summary

  • DoorDash checkout is a stacked-fee system, not one number
  • Fee pressure is usually harsher on small baskets
  • Build menu floors by order-size band, not one blended average
  • Reprice low-ticket items and add-on logic first

What DoorDash Public Docs Show

DoorDash transparency materials describe common checkout components such as:

  • delivery fee
  • service fee
  • additional or location-specific fee layers

DashPass public help also describes membership economics that can shift fee perception by customer segment.

For operators, that means basket size and customer membership mix can change conversion and price sensitivity at the same menu price.

Order-Size Benchmark Method

Use this simple model:

effectiveFeeRate = totalCheckoutFees / foodSubtotal
netMenuRetention = 1 - effectiveFeeRate

Then connect to your item economics:

contribution = (menuPrice x netMenuRetention) - variableCost

Example bands

Assume three observed basket bands:

  • Small basket: subtotal $15
  • Mid basket: subtotal $28
  • Large basket: subtotal $45

If effective fee pressure is highest in the small band, your low-ticket items need stronger price-floor protection than your bundle items.

Worked Example (Small Basket Risk)

Assumptions:

  • Item price in app: $11.99
  • Effective retention after fee/promo dynamics: 72%
  • Variable cost (food + packaging + channel labour): $7.10
netRevenue = 11.99 x 0.72 = $8.63
contribution = 8.63 - 7.10 = $1.53

If that item gets a merchant-funded discount, contribution can approach zero quickly.

10-Minute Weekly Fee-Pressure Check

  1. Split delivery orders into 3 basket bands
  2. Compute net retention by band from payout data
  3. Identify SKUs with lowest contribution in low-basket band
  4. Adjust modifier pricing, bundle thresholds, or minimum order logic
  5. Recheck after 7 days

This is faster and more reliable than waiting for monthly blended averages.

Practical Moves That Usually Work

  • Raise floor on low-ticket, high-labour items
  • Push bundles that move customers into mid/large basket bands
  • Price modifiers with channel-specific floors
  • Limit deep discounting on already thin items

The goal is not fewer orders. The goal is profitable orders.

Common Mistakes

  1. Pricing from one blended channel percentage
  2. Ignoring basket-size effect on fee pressure
  3. Discounting low-ticket items without floor checks
  4. Confusing top-line delivery sales with healthy contribution

KitchenCost helps you set channel-specific menu floors and modifier pricing before fee pressure erodes margin.

Try KitchenCost.

Sources (checked on 2026-02-14)

Frequently Asked Questions

Why do DoorDash totals look so different from menu price?

Checkout can include stacked charges such as delivery fee, service fee, and other location or order-specific fees, so final total can differ materially from item subtotal.

Does order size change effective fee pressure?

Yes. Smaller baskets usually feel fee-heavy because fixed or minimum components take a larger share of subtotal.

How should restaurants use this for menu pricing?

Model price floors by order-size bands and channel contribution, then adjust low-basket items first.

Should we use one delivery price for all baskets?

Usually no. Low-ticket baskets and modifier-heavy orders often need stricter floor logic than higher-ticket bundles.

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