Steven Madden (SHOO) EBIT (2011 - 2026)
Steven Madden's EBIT was $39.32 million in Q2 2026, compared with -$40.26 million a year earlier and down 60.2% from the prior quarter.
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Analysis
Steven Madden (SHOO) EBIT (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steven Madden's EBIT was $205.59 million through Jun 30, 2026, up 52.8% year-over-year; for FY2025, it was $80.77 million, down 64.1% from FY2024.
- In earlier years, EBIT was $224.94 million in FY2024 (+5.5%), $213.22 million in FY2023 (-24.3%), $281.64 million in FY2022 (+15.6%) and $243.6 million in FY2021.
- Quarterly EBIT has moved between -$40.26 million (Q2 2025) and $98.74 million (Q1 2026) over five years.
- Compared with a year earlier, EBIT was higher in two of the last six quarters, with growth averaging 0.9%.
- The best year-over-year quarter for EBIT over five years was Q4 2021 (growth of 272.1%); the worst was Q3 2025 (a decline of 58.0%).
- Per Business Quant data, SHOO's EBIT in the three quarters before Q2 2026 was $98.74 million (Q1 2026), $36.17 million (Q4 2025) and $31.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.31 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 453.65 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 | 175.90 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 236.02 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 285.68 Mn |
| 10 | Steven Madden | 3.29 Bn | 2.92 Bn | 309.66 Mn | 39.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.32 Mn |
| Mar 31, 2026 | 98.74 Mn |
| Dec 31, 2025 | 36.17 Mn |
| Sep 30, 2025 | 31.36 Mn |
| Jun 30, 2025 | -40.26 Mn |
| Mar 31, 2025 | 53.50 Mn |
| Dec 31, 2024 | 46.75 Mn |
| Sep 30, 2024 | 74.58 Mn |
| Jun 30, 2024 | 46.87 Mn |
| Mar 31, 2024 | 56.75 Mn |
| Dec 31, 2023 | 39.93 Mn |
| Sep 30, 2023 | 82.74 Mn |
| Jun 30, 2023 | 44.04 Mn |
| Mar 31, 2023 | 46.51 Mn |
| Dec 31, 2022 | 39.76 Mn |
| Sep 30, 2022 | 78.75 Mn |
| Jun 30, 2022 | 65.24 Mn |
| Mar 31, 2022 | 97.90 Mn |
| Dec 31, 2021 | 79.42 Mn |
| Sep 30, 2021 | 88.42 Mn |
API Access
Steven Madden EBIT 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=ebit&ticker=SHOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();