Steven Madden (SHOO) EBITDA (2011 - 2026)
Steven Madden's EBITDA was $48.97 million in Q2 2026, compared with -$31.1 million a year earlier and down 54.9% from the prior quarter.
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Analysis
Steven Madden (SHOO) EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steven Madden's EBITDA was $245.25 million through Jun 30, 2026, up 53.8% year-over-year; for FY2025, it came in at $115.38 million, down 52.9% from FY2024.
- In earlier years, EBITDA was $244.95 million in FY2024 (+7.1%), $228.72 million in FY2023 (-24.3%), $302.22 million in FY2022 (+16.8%) and $258.81 million in FY2021.
- Quarterly EBITDA has moved between -$31.1 million (Q2 2025) and $108.54 million (Q1 2026) over five years.
- Compared with a year earlier, EBITDA was higher in two of the last six quarters, with growth averaging 5.0%.
- The best year-over-year quarter for EBITDA over five years was Q4 2021 (growth of 226.0%); the worst was Q1 2023 (a decline of 51.6%).
- Per Business Quant data, SHOO's EBITDA in the three quarters before Q2 2026 was $108.54 million (Q1 2026), $44.95 million (Q4 2025) and $42.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 424.10 Mn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 595.99 Mn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 408.50 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 426.28 Mn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 312.52 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 326.23 Mn |
| 10 | Steven Madden | 3.05 Bn | 2.66 Bn | 309.66 Mn | 48.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.97 Mn |
| Mar 31, 2026 | 108.54 Mn |
| Dec 31, 2025 | 44.95 Mn |
| Sep 30, 2025 | 42.79 Mn |
| Jun 30, 2025 | -31.10 Mn |
| Mar 31, 2025 | 58.75 Mn |
| Dec 31, 2024 | 52.02 Mn |
| Sep 30, 2024 | 79.75 Mn |
| Jun 30, 2024 | 51.81 Mn |
| Mar 31, 2024 | 61.38 Mn |
| Dec 31, 2023 | 44.30 Mn |
| Sep 30, 2023 | 86.62 Mn |
| Jun 30, 2023 | 47.93 Mn |
| Mar 31, 2023 | 49.88 Mn |
| Dec 31, 2022 | 44.91 Mn |
| Sep 30, 2022 | 83.71 Mn |
| Jun 30, 2022 | 70.49 Mn |
| Mar 31, 2022 | 103.12 Mn |
| Dec 31, 2021 | 83.01 Mn |
| Sep 30, 2021 | 92.04 Mn |
API Access
Steven Madden EBITDA 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=ebitda&ticker=SHOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();