Designer Brands (DBI) Property, Plant & Equipment (Net) (2011 - 2026)
Designer Brands (DBI) reported Property, Plant & Equipment (Net) of $208.97 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 8.0% from $227.14 million a year earlier and down 0.1% from the prior quarter.
Designer Brands (DBI) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands posted Property, Plant & Equipment (Net) of $213.29 million, up 2.4% from FY2025.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -6.4% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $208.2 million in FY2025 (-5.3%), $219.94 million in FY2024 (-6.6%), $235.43 million in FY2023 (-8.3%) and $256.79 million in FY2022 (-13.4%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q4 2025.
- Year over year, Property, Plant & Equipment (Net) gained in four of the last eight quarters, with an average decline of 1.7%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q2 2026 (growth of 5.0%); the low point was fiscal Q3 2022 (a decline of 15.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $209.16 million (Q1 2027), $213.29 million (Q4 2026) and $221.08 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 208.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 208.97 Mn |
| May 2, 2026 | 209.16 Mn |
| Jan 31, 2026 | 213.29 Mn |
| Nov 1, 2025 | 221.08 Mn |
| Aug 2, 2025 | 227.14 Mn |
| May 3, 2025 | 230.56 Mn |
| Feb 1, 2025 | 208.20 Mn |
| Nov 2, 2024 | 212.21 Mn |
| Aug 3, 2024 | 216.31 Mn |
| May 4, 2024 | 223.21 Mn |
| Feb 3, 2024 | 219.94 Mn |
| Oct 28, 2023 | 224.64 Mn |
| Jul 29, 2023 | 226.63 Mn |
| Apr 29, 2023 | 227.69 Mn |
| Jan 28, 2023 | 235.43 Mn |
| Oct 29, 2022 | 233.52 Mn |
| Jul 30, 2022 | 242.15 Mn |
| Apr 30, 2022 | 250.12 Mn |
| Jan 29, 2022 | 256.79 Mn |
| Oct 30, 2021 | 263.58 Mn |
Designer Brands 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=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DBI", "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=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();