Steven Madden (SHOO) Tax Provisions (2011 - 2026)
Steven Madden's Tax Provisions was $10.14 million in Q2 2026, up 159.2% from $3.91 million a year earlier but down 56.9% from the prior quarter.
Steven Madden (SHOO) Tax Provisions (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steven Madden's Tax Provisions was $45.31 million through Jun 30, 2026, down 2.6% year-over-year; for FY2025, it was $28.66 million, down 47.5% from FY2024.
- In earlier years, Tax Provisions was $54.58 million in FY2024 (+17.0%), $46.64 million in FY2023 (-28.4%), $65.1 million in FY2022 (+31.2%) and $49.61 million in FY2021.
- Quarterly Tax Provisions has moved between $3.91 million (Q2 2025) and $23.49 million (Q1 2026) over five years.
- Compared with a year earlier, Tax Provisions was higher in three of the last eight quarters, with growth averaging 23.9%.
- The best year-over-year quarter for Tax Provisions over five years was Q3 2021 (growth of 408.8%); the worst was Q3 2025 (a decline of 76.3%).
- Per Business Quant data, SHOO's Tax Provisions in the three quarters before Q2 2026 was $23.49 million (Q1 2026), $7.09 million (Q4 2025) and $4.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 260.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 27.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 16.21 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -58.65 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.04 Mn |
| 10 | Steven Madden | 3.28 Bn | 2.92 Bn | 309.66 Mn | 10.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.14 Mn |
| Mar 31, 2026 | 23.49 Mn |
| Dec 31, 2025 | 7.09 Mn |
| Sep 30, 2025 | 4.59 Mn |
| Jun 30, 2025 | 3.91 Mn |
| Mar 31, 2025 | 13.07 Mn |
| Dec 31, 2024 | 10.17 Mn |
| Sep 30, 2024 | 19.39 Mn |
| Jun 30, 2024 | 11.28 Mn |
| Mar 31, 2024 | 13.74 Mn |
| Dec 31, 2023 | 4.42 Mn |
| Sep 30, 2023 | 19.55 Mn |
| Jun 30, 2023 | 10.92 Mn |
| Mar 31, 2023 | 11.75 Mn |
| Dec 31, 2022 | 8.38 Mn |
| Sep 30, 2022 | 18.34 Mn |
| Jun 30, 2022 | 15.03 Mn |
| Mar 31, 2022 | 23.36 Mn |
| Dec 31, 2021 | 12.78 Mn |
| Sep 30, 2021 | 21.55 Mn |
Steven Madden Tax Provisions 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=tax-provisions&ticker=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();