Designer Brands (DBI) Capital Expenditures (2011 - 2026)
Designer Brands (DBI) recorded Capital Expenditures of $12.38 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 30.0% from $9.52 million a year earlier and up 25.5% from the prior quarter.
Designer Brands (DBI) Capital Expenditures (2011 - 2026) Analysis & Trends
On a TTM basis, Designer Brands' Capital Expenditures came in at $37.1 million as of Aug 1, 2026, down 2.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $31.61 million, down 37.9% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $50.89 million in FY2025 (-7.5%), $55 million in FY2024 (unchanged), $54.97 million in FY2023 (+66.4%) and $33.03 million in FY2022 (+6.2%).
- The fiscal Q2 2027 figure is the highest quarterly Capital Expenditures since fiscal Q2 2025.
- On a year-over-year basis, Capital Expenditures rose in two of the last eight quarters, with an average decline of 15.5%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 161.9% in fiscal Q4 2022, against a decline of 54.5% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.87 million (Q1 2027), $5.82 million (Q4 2026) and $9.03 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 345.51 Mn |
| 10 | Designer Brands | 273.36 Mn | 69.44 Mn | 365.36 Mn | 12.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 12.38 Mn |
| May 2, 2026 | 9.87 Mn |
| Jan 31, 2026 | 5.82 Mn |
| Nov 1, 2025 | 9.03 Mn |
| Aug 2, 2025 | 9.52 Mn |
| May 3, 2025 | 7.23 Mn |
| Feb 1, 2025 | 11.98 Mn |
| Nov 2, 2024 | 9.43 Mn |
| Aug 3, 2024 | 13.59 Mn |
| May 4, 2024 | 15.89 Mn |
| Feb 3, 2024 | 12.68 Mn |
| Oct 28, 2023 | 17.19 Mn |
| Jul 29, 2023 | 10.75 Mn |
| Apr 29, 2023 | 14.38 Mn |
| Jan 28, 2023 | 13.05 Mn |
| Oct 29, 2022 | 14.78 Mn |
| Jul 30, 2022 | 14.90 Mn |
| Apr 30, 2022 | 12.25 Mn |
| Jan 29, 2022 | 10.97 Mn |
| Oct 30, 2021 | 8.87 Mn |
Designer Brands 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=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();