Steven Madden (SHOO) EBT (2011 - 2026)
Steven Madden's EBT was $38.06 million in Q2 2026, compared with -$34.8 million a year earlier and down 60.0% from the prior quarter.
Powered by 
Analysis
Steven Madden (SHOO) EBT (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steven Madden's EBT was $191.35 million through Jun 30, 2026, up 33.4% year-over-year; for FY2025, it was $77.68 million, down 66.3% from FY2024.
- In earlier years, EBT was $230.48 million in FY2024 (+4.5%), $220.61 million in FY2023 (-21.9%), $282.32 million in FY2022 (+16.6%) and $242.07 million in FY2021.
- Quarterly EBT has moved between -$34.8 million (Q2 2025) and $97.95 million (Q1 2022) over five years.
- Compared with a year earlier, EBT was higher in two of the last six quarters, with an average decline of 4.2%.
- The best year-over-year quarter for EBT over five years was Q4 2021 (growth of 267.5%); the worst was Q3 2025 (a decline of 65.2%).
- Per Business Quant data, SHOO's EBT in the three quarters before Q2 2026 was $95.14 million (Q1 2026), $31.74 million (Q4 2025) and $26.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.33 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 428.80 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 342.20 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 467.35 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 106.61 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 186.03 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 263.92 Mn |
| 10 | Steven Madden | 3.29 Bn | 2.92 Bn | 309.66 Mn | 38.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.06 Mn |
| Mar 31, 2026 | 95.14 Mn |
| Dec 31, 2025 | 31.74 Mn |
| Sep 30, 2025 | 26.41 Mn |
| Jun 30, 2025 | -34.80 Mn |
| Mar 31, 2025 | 54.33 Mn |
| Dec 31, 2024 | 47.97 Mn |
| Sep 30, 2024 | 75.98 Mn |
| Jun 30, 2024 | 48.22 Mn |
| Mar 31, 2024 | 58.30 Mn |
| Dec 31, 2023 | 41.43 Mn |
| Sep 30, 2023 | 84.66 Mn |
| Jun 30, 2023 | 46.00 Mn |
| Mar 31, 2023 | 48.53 Mn |
| Dec 31, 2022 | 40.33 Mn |
| Sep 30, 2022 | 80.09 Mn |
| Jun 30, 2022 | 63.95 Mn |
| Mar 31, 2022 | 97.95 Mn |
| Dec 31, 2021 | 78.90 Mn |
| Sep 30, 2021 | 88.22 Mn |
API Access
Steven Madden EBT 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=ebt&ticker=SHOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();