Steven Madden (SHOO) Operating Leases (2019 - 2026)
Steven Madden's Operating Leases was $193.72 million in Q2 2026, up 2.3% from $189.4 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Steven Madden (SHOO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Steven Madden came in at $193.15 million, up 75.9% from FY2024.
- Operating Leases has now increased for three consecutive years, with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In earlier years, Operating Leases was $109.82 million in FY2024 (+11.4%), $98.54 million in FY2023 (+24.5%), $79.13 million in FY2022 (-1.2%) and $80.07 million in FY2021 (-18.8%).
- The Q2 2026 figure marks the highest quarterly Operating Leases in data going back to Q1 2019.
- Compared with a year earlier, Operating Leases has increased for 14 straight quarters, with growth averaging 40.4% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was Q4 2025 (growth of 75.9%); the worst was Q1 2022 (a decline of 21.5%).
- Per Business Quant data, SHOO's Operating Leases in the three quarters before Q2 2026 was $191.93 million (Q1 2026), $193.15 million (Q4 2025) and $190.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Steven Madden | 3.29 Bn | 2.92 Bn | 309.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.72 Mn |
| Mar 31, 2026 | 191.93 Mn |
| Dec 31, 2025 | 193.15 Mn |
| Sep 30, 2025 | 190.46 Mn |
| Jun 30, 2025 | 189.40 Mn |
| Mar 31, 2025 | 120.73 Mn |
| Dec 31, 2024 | 109.82 Mn |
| Sep 30, 2024 | 118.67 Mn |
| Jun 30, 2024 | 112.99 Mn |
| Mar 31, 2024 | 102.64 Mn |
| Dec 31, 2023 | 98.54 Mn |
| Sep 30, 2023 | 91.92 Mn |
| Jun 30, 2023 | 96.28 Mn |
| Mar 31, 2023 | 95.80 Mn |
| Dec 31, 2022 | 79.13 Mn |
| Sep 30, 2022 | 79.91 Mn |
| Jun 30, 2022 | 76.02 Mn |
| Mar 31, 2022 | 75.55 Mn |
| Dec 31, 2021 | 80.07 Mn |
| Sep 30, 2021 | 85.36 Mn |
API Access
Steven Madden Operating Leases 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=operating-leases&ticker=SHOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();