Steven Madden (SHOO) Other Operating Expenses (2011 - 2026)
Steven Madden (SHOO) recorded Other Operating Expenses of $270.34 million in Q2 2026, up 2.5% from $263.87 million a year earlier and up 4.7% from the prior quarter.
Steven Madden (SHOO) Other Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Steven Madden's Other Operating Expenses came in at $1.06 billion as of Jun 30, 2026, up 30.0% year-over-year; for FY2025, it came in at $967.98 million, up 38.5% from FY2024.
- Annual Other Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $698.94 million in FY2024 (+14.1%), $612.67 million in FY2023 (+4.5%), $586.39 million in FY2022 (+12.8%) and $519.85 million in FY2021 (+25.3%).
- Quarterly Other Operating Expenses has ranged from $130 million in Q1 2022 to $280.83 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for 11 consecutive quarters, with growth averaging 29.3% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 61.2% in Q2 2025, against a decline of 4.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $258.29 million (Q1 2026), $280.83 million (Q4 2025) and $246.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Steven Madden | 3.28 Bn | 2.92 Bn | 309.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 270.34 Mn |
| Mar 31, 2026 | 258.29 Mn |
| Dec 31, 2025 | 280.83 Mn |
| Sep 30, 2025 | 246.02 Mn |
| Jun 30, 2025 | 263.87 Mn |
| Mar 31, 2025 | 177.26 Mn |
| Dec 31, 2024 | 191.59 Mn |
| Sep 30, 2024 | 178.92 Mn |
| Jun 30, 2024 | 163.71 Mn |
| Mar 31, 2024 | 164.72 Mn |
| Dec 31, 2023 | 168.37 Mn |
| Sep 30, 2023 | 149.89 Mn |
| Jun 30, 2023 | 145.83 Mn |
| Mar 31, 2023 | 148.58 Mn |
| Dec 31, 2022 | 153.13 Mn |
| Sep 30, 2022 | 150.72 Mn |
| Jun 30, 2022 | 152.53 Mn |
| Mar 31, 2022 | 130.00 Mn |
| Dec 31, 2021 | 155.96 Mn |
| Sep 30, 2021 | 131.58 Mn |
Steven Madden Other Operating Expenses 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=other-operating-expenses&ticker=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();