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  • Platform
    • Coverage400+ retailers, history back to 2013
    • Shelf IndicesFree monthly price and discount indices
    • Brand headlinesQuarterly prices for 84 consumer brands
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  1. Home
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  3. /Measuring tariff price pass-through with online shelf prices
Use case

How can investors tell whether companies are passing tariffs on to consumers?

Tariff pass-through shows up on retailer websites before it shows up in reported results. Compare matched-SKU price changes on products exposed to the tariff with unexposed products in the same category, watch whether promotions are pulled back, and check price per unit for pack-size cuts. Timing the moves against the tariff dates separates pass-through from ordinary price increases.

For:Public market investorsConsultants

Last reviewed 24 September 2026

Three ways pass-through reaches the shelf

  • List-price increases: identical products get more expensive.
  • Fewer or shallower promotions: the average price paid rises even if list prices do not.
  • Pack-size cuts: the shelf price holds but the price per unit rises.

A practical workflow

  1. 1Define exposed products (for example imported categories or brands sourcing from affected countries) and a comparison group that is not exposed.
  2. 2Track matched-SKU price changes weekly for both groups from before the tariff announcement.
  3. 3Overlay markdown breadth and depth to catch promotional pull-back.
  4. 4Check price per unit where pack sizes can change.
  5. 5Compare the timing of price moves with announcement and effective dates, and across retailers to see who moves first.

Reading the result

If exposed products rise faster than the comparison group after the effective date, the difference is an estimate of pass-through at the shelf. If prices hold while costs rise, the company is absorbing the tariff in its gross margin, which matters for earnings even when revenue looks stable.

Metrics used

  • Price pass-through: The share of a cost increase, such as a tariff or input-cost rise, that a company passes on to customers through higher prices.
  • Matched-SKU inflation (same-SKU price change): The price change of identical products observed in both periods, which isolates true price moves from changes in product mix.
  • Markdown breadth: The share of each product's in-stock sizes and variants selling below full price, averaged across products so each product counts equally.
  • Shrinkflation: A price increase delivered by reducing pack size while keeping the shelf price the same or similar.

How each measure is built: methodology.

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Data Purl

Data Purl is an eCommerce pricing and assortment data provider that follows every brand across the retailers that sell it: SKU-level price, discount, availability and assortment history across 400+ retailers back to 2013, compared like for like, with brands resolved to their owners, public or private, and listed owners mapped to tickers.

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