Steven Madden (SHOO) Receivables (2010 - 2026)
Steven Madden's Receivables was $387.73 million in Q2 2026, up 3.1% from $376.15 million a year earlier but down 12.6% from the prior quarter.
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Analysis
Steven Madden (SHOO) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Steven Madden came in at $403.42 million, up 2.3% from FY2024.
- Receivables has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- In earlier years, Receivables was $394.31 million in FY2024 (+9.2%), $360.97 million in FY2023 (+26.1%), $286.17 million in FY2022 (-60.8%) and $729.96 million in FY2021 (+44.4%).
- Quarterly Receivables has moved between $286.17 million (Q4 2022) and $729.96 million (Q4 2021) over five years.
- Compared with a year earlier, Receivables was higher in five of the last eight quarters, with growth averaging 3.3%.
- The best year-over-year quarter for Receivables over five years was Q4 2021 (growth of 44.4%); the worst was Q4 2022 (a decline of 60.8%).
- Per Business Quant data, SHOO's Receivables in the three quarters before Q2 2026 was $443.6 million (Q1 2026), $403.42 million (Q4 2025) and $424.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 5.93 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 237.10 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 407.20 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 318.98 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 171.16 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 586.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.08 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 328.90 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 430.30 Mn |
| 10 | Steven Madden | 3.29 Bn | 2.92 Bn | 309.66 Mn | 387.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 387.73 Mn |
| Mar 31, 2026 | 443.60 Mn |
| Dec 31, 2025 | 403.42 Mn |
| Sep 30, 2025 | 424.48 Mn |
| Jun 30, 2025 | 376.15 Mn |
| Mar 31, 2025 | 458.54 Mn |
| Dec 31, 2024 | 394.31 Mn |
| Sep 30, 2024 | 482.71 Mn |
| Jun 30, 2024 | 378.59 Mn |
| Mar 31, 2024 | 425.07 Mn |
| Dec 31, 2023 | 360.97 Mn |
| Sep 30, 2023 | 401.41 Mn |
| Jun 30, 2023 | 297.96 Mn |
| Mar 31, 2023 | 330.03 Mn |
| Dec 31, 2022 | 286.17 Mn |
| Sep 30, 2022 | 389.74 Mn |
| Jun 30, 2022 | 376.09 Mn |
| Mar 31, 2022 | 429.58 Mn |
| Dec 31, 2021 | 729.96 Mn |
| Sep 30, 2021 | 384.27 Mn |
API Access
Steven Madden Receivables 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=receivables&ticker=SHOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();