Steven Madden (SHOO) Cash & Equivalents (2010 - 2026)
Steven Madden (SHOO) reported Cash & Equivalents of $94.74 million for Q2 2026, down 15.2% from $111.71 million a year earlier but up 22.8% from the prior quarter.
Steven Madden (SHOO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Steven Madden posted Cash & Equivalents of $112.42 million, down 40.8% from FY2024.
- Cash & Equivalents has declined for three consecutive years, with a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $189.92 million in FY2024 (-7.2%), $204.64 million in FY2023 (-25.5%), $274.71 million in FY2022 (+25.2%) and $219.5 million in FY2021 (-11.4%).
- Five-year quarterly Cash & Equivalents spans a low of $77.16 million in Q1 2026 and a high of $274.71 million in Q4 2022.
- Year over year, Cash & Equivalents has now declined in each of the last five quarters, with an average decline of 23.4% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2023 (growth of 71.0%); the low point was Q1 2026 (a decline of 46.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $77.16 million (Q1 2026), $112.42 million (Q4 2025) and $108.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Steven Madden | 3.36 Bn | 3.00 Bn | 309.66 Mn | 94.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.74 Mn |
| Mar 31, 2026 | 77.16 Mn |
| Dec 31, 2025 | 112.42 Mn |
| Sep 30, 2025 | 108.72 Mn |
| Jun 30, 2025 | 111.71 Mn |
| Mar 31, 2025 | 144.76 Mn |
| Dec 31, 2024 | 189.92 Mn |
| Sep 30, 2024 | 139.41 Mn |
| Jun 30, 2024 | 180.46 Mn |
| Mar 31, 2024 | 131.50 Mn |
| Dec 31, 2023 | 204.64 Mn |
| Sep 30, 2023 | 191.80 Mn |
| Jun 30, 2023 | 258.06 Mn |
| Mar 31, 2023 | 209.98 Mn |
| Dec 31, 2022 | 274.71 Mn |
| Sep 30, 2022 | 139.19 Mn |
| Jun 30, 2022 | 150.93 Mn |
| Mar 31, 2022 | 170.35 Mn |
| Dec 31, 2021 | 219.50 Mn |
| Sep 30, 2021 | 219.52 Mn |
Steven Madden Cash & Equivalents 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=cash-and-equivalents&ticker=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();