Methodology 方法论

How these numbers are built

Industry Intelligence is a library of industry studies assembled from primary company filings. Every figure carries a source link and an accounting basis. If a company did not disclose something, we print "not disclosed" and leave the cell empty.

01

Where the data comes from

数据来源

We read the filing itself: annual reports, interim reports, quarterly investor releases, SEC filings (10-K, 20-F, financial supplements) and HKEX announcements. Segment tables, geographic notes and operational announcements are transcribed by hand and checked against the printed figure.

Where a study reports a common currency, conversion uses published yearly average exchange rates and the rate table is listed as a source. Growth rates are never computed on converted values — they are taken or computed in the company's own reporting currency, so a currency move never shows up as growth.

Scope is stated for every row: which segment, which geography, which fiscal calendar. A "Greater China segment" and a "China Mainland reportable segment" are different things and we never silently pool them.

02

What the accounting bases mean

口径说明

Growth printed on different bases is not directly comparable. Every number in this product shows the basis it was computed on.

currency-neutral
Growth restated at constant exchange rates, so currency movement is removed.
local currency
Growth in the company's own reporting currency.
as reported
Growth exactly as printed in the filing, including currency movement.
retail sales value
Growth of retail sell-through value, not of company revenue.
03

Level and momentum are different questions

规模与动能是两个问题

A five-year compound growth rate tells you who accumulated. A quarterly year-on-year tells you who is growing now. These two frequently rank brands in opposite orders, and collapsing them into a single "growth" number is the most common way an industry chart misleads. We always show both, side by side, and never average them.

Every study includes a base-year sensitivity check: the same compound rate recomputed from several start years. If the sign flips with the base year, the row is flagged. This check exists because it caught a real error.

04

Sell-in, sell-out and sell-through

出货、零售与售罄

Revenue does not mean the same thing at every company in a study. The channel a product passes through decides the price it is booked at.

Sell-in is what the brand charges the channel. A shoe sold to a distributor or a franchisee enters brand revenue at wholesale price, and whatever the shopper finally pays sits outside the brand's accounts.

Sell-out is what the shopper pays in a store the brand operates itself. The full retail price enters brand revenue. The same pair of shoes can therefore land as roughly twice the revenue at a DTC-led brand as at a distribution-led one.

Sell-through is a third thing entirely: the share of stock the end retailer actually sold. It measures inventory health and has nothing to do with revenue. It is never used here as a revenue figure.

One hard rule: no retail-sales-value-to-revenue multiplier appears anywhere on this site.

No company in this set discloses retail sales value and consolidated revenue for the same brand in the same period. ANTA, Li Ning, Xtep and 361 give retail growth rates only, in wording like "high single-digit growth", which is not a number. The closest case is ANTA's "DESCENTE retail sales exceeded RMB 10bn for the first time" in the FY2025 release, but DESCENTE's consolidated revenue is not disclosed separately, sitting inside the RMB 17.0bn "all other brands" segment with KOLON and others. The pair cannot be assembled, so the multiplier is not derivable and the industry rule of thumb of 1.8x to 2.5x does not go into any table here.

05

What we refuse to publish

我们拒绝发布的内容
  • Third-party market estimates presented as fact. If a number is not in a filing, it is not in the table.
  • Interpolated or back-filled values for periods a company did not report. The cell stays empty and reads "not disclosed".
  • Growth rates computed across a change of scope, segment definition or fiscal calendar without a scope note.
  • Dual-axis charts, which manufacture correlations that are not in the data.
  • Group and segment rows mixed into single-brand rankings without a marker. Group rows are labelled everywhere they appear.
  • Price positioning presented as measured data. It is an analyst judgement on a 1–5 scale and is labelled as such on every chart that uses it.