Steven Madden (SHOO) Property, Plant & Equipment (Net) (2010 - 2026)
Steven Madden (SHOO) posted Property, Plant & Equipment (Net) of $113.69 million for Q2 2026, up 8.9% from $104.42 million a year earlier and up 1.2% from the prior quarter.
Steven Madden (SHOO) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Steven Madden's Property, Plant & Equipment (Net) came in at $115.8 million, up 101.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four consecutive years, with a five-year compound annual growth rate of 21.8% (FY2020 to FY2025).
- In prior years, Steven Madden's Property, Plant & Equipment (Net) was $57.39 million in FY2024 (+21.6%), $47.2 million in FY2023 (+16.1%), $40.66 million in FY2022 (+13.6%) and $35.79 million in FY2021 (-17.3%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $35 million in Q2 2022 to a high of $115.8 million in Q4 2025 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 15 quarters, with growth averaging 60.6% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2025, with growth of 112.9%; the weakest was Q4 2021, with a decline of 17.3%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $112.34 million (Q1 2026), $115.8 million (Q4 2025) and $112.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | Steven Madden | 3.36 Bn | 3.00 Bn | 309.66 Mn | 113.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.69 Mn |
| Mar 31, 2026 | 112.34 Mn |
| Dec 31, 2025 | 115.80 Mn |
| Sep 30, 2025 | 112.30 Mn |
| Jun 30, 2025 | 104.42 Mn |
| Mar 31, 2025 | 65.85 Mn |
| Dec 31, 2024 | 57.39 Mn |
| Sep 30, 2024 | 52.91 Mn |
| Jun 30, 2024 | 49.06 Mn |
| Mar 31, 2024 | 47.49 Mn |
| Dec 31, 2023 | 47.20 Mn |
| Sep 30, 2023 | 44.92 Mn |
| Jun 30, 2023 | 42.27 Mn |
| Mar 31, 2023 | 41.52 Mn |
| Dec 31, 2022 | 40.66 Mn |
| Sep 30, 2022 | 36.86 Mn |
| Jun 30, 2022 | 35.00 Mn |
| Mar 31, 2022 | 36.44 Mn |
| Dec 31, 2021 | 35.79 Mn |
| Sep 30, 2021 | 36.84 Mn |
Steven Madden Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SHOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SHOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();