Steven Madden (SHOO) Inventory (2010 - 2026)
Steven Madden's Inventory came in at $377.21 million for Q2 2026, down 13.7% from $436.97 million a year earlier and down 0.6% from the prior quarter.
Powered by 
Analysis
Steven Madden (SHOO) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Steven Madden's Inventory was $417.02 million, up 61.9% from FY2024.
- Inventory has increased in each of the last three years, with a five-year compound annual growth rate of 32.7% (FY2020 to FY2025).
- Going back by year, Inventory was $257.63 million in FY2024 (+12.5%), $228.99 million in FY2023 (+0.1%), $228.75 million in FY2022 (-10.4%) and $255.21 million in FY2021 (+151.6%).
- The Q2 2026 figure represents the lowest quarterly Inventory since Q1 2025.
- Year-over-year, Inventory increased in seven of the last eight quarters, with growth averaging 40.8%.
- The fastest year-over-year change in Inventory over five years came in Q4 2021 (growth of 151.6%), and the weakest in Q2 2023 (a decline of 32.2%).
- Business Quant data shows SHOO's Inventory at $379.37 million (Q1 2026), $417.02 million (Q4 2025) and $476.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Steven Madden | 3.29 Bn | 2.92 Bn | 309.66 Mn | 377.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.21 Mn |
| Mar 31, 2026 | 379.37 Mn |
| Dec 31, 2025 | 417.02 Mn |
| Sep 30, 2025 | 476.03 Mn |
| Jun 30, 2025 | 436.97 Mn |
| Mar 31, 2025 | 238.64 Mn |
| Dec 31, 2024 | 257.63 Mn |
| Sep 30, 2024 | 268.67 Mn |
| Jun 30, 2024 | 241.64 Mn |
| Mar 31, 2024 | 201.96 Mn |
| Dec 31, 2023 | 228.99 Mn |
| Sep 30, 2023 | 205.69 Mn |
| Jun 30, 2023 | 207.84 Mn |
| Mar 31, 2023 | 179.94 Mn |
| Dec 31, 2022 | 228.75 Mn |
| Sep 30, 2022 | 244.32 Mn |
| Jun 30, 2022 | 306.55 Mn |
| Mar 31, 2022 | 233.38 Mn |
| Dec 31, 2021 | 255.21 Mn |
| Sep 30, 2021 | 201.20 Mn |
API Access
Steven Madden Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=SHOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "SHOO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();