Steven Madden (SHOO) Cash from Operations (2010 - 2026)
Steven Madden's Cash from Operations came in at $204.6 million for Q2 2026, up 207.8% from $66.47 million a year earlier.
Steven Madden (SHOO) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Steven Madden reported Cash from Operations of $263.83 million, up 73.7% year-over-year; for FY2025, it was $162.2 million, down 18.1% from FY2024.
- Cash from Operations has declined in each of the last three years, though with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $198.1 million in FY2024 (-13.6%), $229.24 million in FY2023 (-14.4%), $267.88 million in FY2022 (+68.0%) and $159.46 million in FY2021 (+260.7%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations in data going back to Q1 2010.
- Year-over-year, Cash from Operations increased in 1 of the last four quarters, with growth averaging 31.2%.
- The fastest year-over-year change in Cash from Operations over five years came in Q3 2022 (growth of 521.0%), and the weakest in Q2 2025 (a decline of 39.3%).
- Business Quant data shows SHOO's Cash from Operations at -$55.34 million (Q1 2026), $91.13 million (Q4 2025) and $23.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.64 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 270.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 347.44 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 286.47 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 351.70 Mn |
| 10 | Steven Madden | 3.28 Bn | 2.92 Bn | 309.66 Mn | 204.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.60 Mn |
| Mar 31, 2026 | -55.34 Mn |
| Dec 31, 2025 | 91.13 Mn |
| Sep 30, 2025 | 23.44 Mn |
| Jun 30, 2025 | 66.47 Mn |
| Mar 31, 2025 | -18.83 Mn |
| Dec 31, 2024 | 103.85 Mn |
| Sep 30, 2024 | 444,000.00 |
| Jun 30, 2024 | 109.51 Mn |
| Mar 31, 2024 | -15.71 Mn |
| Dec 31, 2023 | 151.48 Mn |
| Sep 30, 2023 | -4.50 Mn |
| Jun 30, 2023 | 95.53 Mn |
| Mar 31, 2023 | -13.28 Mn |
| Dec 31, 2022 | 201.14 Mn |
| Sep 30, 2022 | 26.46 Mn |
| Jun 30, 2022 | 59.73 Mn |
| Mar 31, 2022 | -19.45 Mn |
| Dec 31, 2021 | 63.28 Mn |
| Sep 30, 2021 | 4.26 Mn |
Steven Madden Cash from Operations 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-from-operations&ticker=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();