Steven Madden (SHOO) Revenue (2010 - 2026)
Steven Madden's Revenue was $665.87 million in Q2 2026, up 19.1% from $559 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Steven Madden (SHOO) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steven Madden's Revenue was $2.74 billion through Jun 30, 2026, up 18.2% year-over-year; for FY2025, it was $2.53 billion, up 11.0% from FY2024.
- Revenue shows a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- In earlier years, Revenue was $2.28 billion in FY2024 (+15.2%), $1.98 billion in FY2023 (-6.6%), $2.12 billion in FY2022 (+13.7%) and $1.87 billion in FY2021 (+55.3%).
- Quarterly Revenue has moved between $445.3 million (Q2 2023) and $753.7 million (Q4 2025) over five years.
- Compared with a year earlier, Revenue has increased for 11 straight quarters, with growth averaging 13.2% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2021 (growth of 63.9%); the worst was Q4 2022 (a decline of 18.6%).
- Per Business Quant data, SHOO's Revenue in the three quarters before Q2 2026 was $653.1 million (Q1 2026), $753.7 million (Q4 2025) and $667.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Steven Madden | 3.28 Bn | 2.92 Bn | 309.66 Mn | 665.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 665.87 Mn |
| Mar 31, 2026 | 653.10 Mn |
| Dec 31, 2025 | 753.70 Mn |
| Sep 30, 2025 | 667.88 Mn |
| Jun 30, 2025 | 559.00 Mn |
| Mar 31, 2025 | 553.53 Mn |
| Dec 31, 2024 | 582.32 Mn |
| Sep 30, 2024 | 624.68 Mn |
| Jun 30, 2024 | 523.55 Mn |
| Mar 31, 2024 | 552.38 Mn |
| Dec 31, 2023 | 519.71 Mn |
| Sep 30, 2023 | 552.73 Mn |
| Jun 30, 2023 | 445.30 Mn |
| Mar 31, 2023 | 463.83 Mn |
| Dec 31, 2022 | 470.64 Mn |
| Sep 30, 2022 | 556.64 Mn |
| Jun 30, 2022 | 534.99 Mn |
| Mar 31, 2022 | 559.73 Mn |
| Dec 31, 2021 | 578.48 Mn |
| Sep 30, 2021 | 528.74 Mn |
API Access
Steven Madden Revenue 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=revenue&ticker=SHOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();