Steven Madden (SHOO) Non-Current Assets (2010 - 2026)
Steven Madden (SHOO) posted Non-Current Assets of $906.3 million for Q2 2026, up 1.0% from $897.3 million a year earlier and unchanged from the prior quarter.
Steven Madden (SHOO) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Steven Madden's Non-Current Assets came in at $913.58 million, up 76.7% from FY2024.
- Annual Non-Current Assets has increased for four consecutive years, with a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- In prior years, Steven Madden's Non-Current Assets was $517.08 million in FY2024 (+4.9%), $493.11 million in FY2023 (+19.0%), $414.43 million in FY2022 (+0.9%) and $410.88 million in FY2021 (-6.5%).
- Quarterly Non-Current Assets has run from a low of $406.88 million in Q2 2022 to a high of $913.58 million in Q4 2025 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 15 quarters, with growth averaging 40.9% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2025, with growth of 77.0%; the weakest was Q3 2021, with a decline of 8.2%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $906.03 million (Q1 2026), $913.58 million (Q4 2025) and $906.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.26 Bn | 22.47 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 23.56 Bn | 19.52 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.74 Bn | 14.84 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 12.44 Bn | 5.31 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 10.65 Bn | 4.90 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 8.05 Bn | 4.63 Bn | 1.07 Bn | 3.69 Bn |
| 7 | Gildan Activewear | 7.57 Bn | 6.49 Bn | 459.76 Mn | 5.52 Bn |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | 5.26 Bn |
| 9 | Birkenstock Holding | 6.03 Bn | 4.35 Bn | 493.89 Mn | 4.31 Bn |
| 10 | Steven Madden | 3.30 Bn | 2.94 Bn | 309.66 Mn | 906.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 906.30 Mn |
| Mar 31, 2026 | 906.03 Mn |
| Dec 31, 2025 | 913.58 Mn |
| Sep 30, 2025 | 906.81 Mn |
| Jun 30, 2025 | 897.30 Mn |
| Mar 31, 2025 | 541.19 Mn |
| Dec 31, 2024 | 517.08 Mn |
| Sep 30, 2024 | 512.29 Mn |
| Jun 30, 2024 | 514.96 Mn |
| Mar 31, 2024 | 496.86 Mn |
| Dec 31, 2023 | 493.11 Mn |
| Sep 30, 2023 | 438.64 Mn |
| Jun 30, 2023 | 442.35 Mn |
| Mar 31, 2023 | 437.09 Mn |
| Dec 31, 2022 | 414.43 Mn |
| Sep 30, 2022 | 408.99 Mn |
| Jun 30, 2022 | 406.88 Mn |
| Mar 31, 2022 | 410.42 Mn |
| Dec 31, 2021 | 410.88 Mn |
| Sep 30, 2021 | 418.96 Mn |
Steven Madden Non-Current Assets 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=non-current-assets&ticker=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();