Steven Madden (SHOO) Total Liabilities (2010 - 2026)
Steven Madden (SHOO) posted Total Liabilities of $863.96 million for Q2 2026, down 16.3% from $1.03 billion a year earlier and down 14.3% from the prior quarter.
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Analysis
Steven Madden (SHOO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Steven Madden's Total Liabilities came in at $1.01 billion, up 88.6% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In prior years, Steven Madden's Total Liabilities was $535.77 million in FY2024 (+7.2%), $499.91 million in FY2023 (+20.7%), $414.13 million in FY2022 (-22.6%) and $535 million in FY2021 (+54.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 49.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 92.5%; the weakest was Q3 2022, with a decline of 24.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.01 billion (Q1 2026), $1.01 billion (Q4 2025) and $1.11 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.97 Bn |
| 10 | Steven Madden | 3.29 Bn | 2.92 Bn | 309.66 Mn | 863.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 863.96 Mn |
| Mar 31, 2026 | 1.01 Bn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 1.11 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 523.53 Mn |
| Dec 31, 2024 | 535.77 Mn |
| Sep 30, 2024 | 597.06 Mn |
| Jun 30, 2024 | 542.71 Mn |
| Mar 31, 2024 | 460.55 Mn |
| Dec 31, 2023 | 499.91 Mn |
| Sep 30, 2023 | 438.51 Mn |
| Jun 30, 2023 | 428.53 Mn |
| Mar 31, 2023 | 367.42 Mn |
| Dec 31, 2022 | 414.13 Mn |
| Sep 30, 2022 | 374.30 Mn |
| Jun 30, 2022 | 469.97 Mn |
| Mar 31, 2022 | 435.12 Mn |
| Dec 31, 2021 | 535.00 Mn |
| Sep 30, 2021 | 492.88 Mn |
API Access
Steven Madden Total Liabilities 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=total-liabilities&ticker=SHOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();