Steven Madden (SHOO) Total Non-Current Liabilities (2010 - 2026)
Steven Madden (SHOO) posted Total Non-Current Liabilities of $827.75 million for Q2 2026, down 18.2% from $1.01 billion a year earlier and down 14.7% from the prior quarter.
Steven Madden (SHOO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Steven Madden's Total Non-Current Liabilities came in at $974.28 million, up 84.5% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 22.9% (FY2020 to FY2025).
- In prior years, Steven Madden's Total Non-Current Liabilities was $528.17 million in FY2024 (+9.0%), $484.77 million in FY2023 (+17.1%), $414.13 million in FY2022 (-21.6%) and $528.04 million in FY2021 (+52.1%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 49.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2025, with growth of 91.8%; the weakest was Q3 2022, with a decline of 23.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $970.88 million (Q1 2026), $974.28 million (Q4 2025) and $1.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 4.72 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 3.63 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 558.33 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 4.29 Bn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 7.30 Bn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 2.29 Bn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 2.70 Bn |
| 10 | Steven Madden | 3.05 Bn | 2.66 Bn | 309.66 Mn | 827.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 827.75 Mn |
| Mar 31, 2026 | 970.88 Mn |
| Dec 31, 2025 | 974.28 Mn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 520.35 Mn |
| Dec 31, 2024 | 528.17 Mn |
| Sep 30, 2024 | 580.41 Mn |
| Jun 30, 2024 | 528.00 Mn |
| Mar 31, 2024 | 444.17 Mn |
| Dec 31, 2023 | 484.77 Mn |
| Sep 30, 2023 | 427.60 Mn |
| Jun 30, 2023 | 417.84 Mn |
| Mar 31, 2023 | 356.96 Mn |
| Dec 31, 2022 | 414.13 Mn |
| Sep 30, 2022 | 363.37 Mn |
| Jun 30, 2022 | 459.04 Mn |
| Mar 31, 2022 | 424.19 Mn |
| Dec 31, 2021 | 528.04 Mn |
| Sep 30, 2021 | 476.50 Mn |
Steven Madden Total Non-Current 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-non-current-liabilities&ticker=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();