can you create this but with top 10
A fixed cohort of the ten largest US-headquartered public corporations materially involved in athletic and active footwear, ranked by latest company revenue (fiscal years 2024–2026, from Nike at $46.3B to Wolverine World Wide at $1.87B). The measures requested — annual advertising-related spend and spend as a percent of GMV — are shown where disclosed; total net revenue stands in as a clearly labeled GMV proxy, and missing years stay blank, never zero.
Rows ranked by latest revenue · color intensity = ad spend as % of revenue (GMV proxy) · gray hatch = not separately disclosed · hover a cell for exact values
Points only where an observation exists; gaps are left open, not interpolated across missing fiscal years
Fiscal years differ (2024–2026) — this is not a synchronized 2025 ranking
| # | Company | Latest revenue | FY | Footwear brands / relevance | Ad-spend disclosure | Source |
|---|
Method: fixed Top 10 cohort of US-headquartered public corporations materially involved in athletic/active footwear, ranked by latest available company net revenue (fiscal 2024–2026; VF, Under Armour, Columbia and Caleres also run large apparel/retail operations). Advertising-related observations: 13 rows total — Nike demand creation expense (FY2014–2019, 2021, 2024–2025) and Under Armour marketing spend (FY2023–2026). GMV is not reported by these companies; total net revenue serves as the GMV proxy, and percent values are spend ÷ revenue. SG&A is never substituted for advertising. Missing years are shown as not separately disclosed, never zero, and no annual ranks are invented where spend is missing. One Nike FY2026 row and one Caleres FY2025 segment row were excluded for data-quality reasons stated above.