Steven Madden (SHOO) Capital Expenditures (2010 - 2026)
Steven Madden (SHOO) posted Capital Expenditures of $8.51 million for Q2 2026, up 11.0% from $7.67 million a year earlier and up 44.2% from the prior quarter.
Steven Madden (SHOO) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Steven Madden was $39.55 million, up 15.8% year-over-year; for FY2025, it was $42.66 million, up 64.6% from FY2024.
- Annual Capital Expenditures has increased for five consecutive years, with a five-year compound annual growth rate of 45.4% (FY2020 to FY2025).
- In prior years, Steven Madden's Capital Expenditures was $25.91 million in FY2024 (+33.1%), $19.47 million in FY2023 (+19.1%), $16.35 million in FY2022 (+147.4%) and $6.61 million in FY2021 (+0.7%).
- Quarterly Capital Expenditures has run from a low of $1.67 million in Q2 2022 to a high of $14.82 million in Q3 2025 over five years.
- On a year-over-year basis, Capital Expenditures increased in seven of the last eight quarters, with growth averaging 45.3%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2022, with growth of 210.4%; the weakest was Q1 2026, with a decline of 40.1%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $5.9 million (Q1 2026), $10.32 million (Q4 2025) and $14.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 138.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 53.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 53.40 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 149.68 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 39.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -19.85 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -30.49 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 20.73 Mn |
| 10 | Steven Madden | 3.28 Bn | 2.92 Bn | 309.66 Mn | 8.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.51 Mn |
| Mar 31, 2026 | 5.90 Mn |
| Dec 31, 2025 | 10.32 Mn |
| Sep 30, 2025 | 14.82 Mn |
| Jun 30, 2025 | 7.67 Mn |
| Mar 31, 2025 | 9.85 Mn |
| Dec 31, 2024 | 9.27 Mn |
| Sep 30, 2024 | 7.37 Mn |
| Jun 30, 2024 | 5.29 Mn |
| Mar 31, 2024 | 3.98 Mn |
| Dec 31, 2023 | 5.57 Mn |
| Sep 30, 2023 | 6.11 Mn |
| Jun 30, 2023 | 4.00 Mn |
| Mar 31, 2023 | 3.79 Mn |
| Dec 31, 2022 | 6.24 Mn |
| Sep 30, 2022 | 4.85 Mn |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 3.60 Mn |
| Dec 31, 2021 | 2.01 Mn |
| Sep 30, 2021 | 1.82 Mn |
Steven Madden Capital Expenditures 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=capital-expenditures&ticker=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();