Designer Brands (DBI) Goodwill & Intangibles (2011 - 2026)
Designer Brands' Goodwill & Intangibles came in at $210.22 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.1% from $212.6 million a year earlier and down 0.6% from the prior quarter.
Designer Brands (DBI) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands' Goodwill & Intangibles was $212.08 million, down 1.4% from FY2025.
- Goodwill & Intangibles carries a five-year compound annual growth rate of 14.2% (FY2021 to FY2026).
- Going back by fiscal year, Goodwill & Intangibles was $215.03 million in FY2025 (+4.1%), $206.59 million in FY2024 (+60.2%), $128.98 million in FY2023 (+18.1%) and $109.18 million in FY2022 (-0.1%).
- The fiscal Q2 2027 figure represents the lowest quarterly Goodwill & Intangibles since fiscal Q4 2024.
- Year-over-year, Goodwill & Intangibles has declined for six consecutive quarters, with an average decline of 0.2% over the last eight quarters.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in fiscal Q1 2024 (growth of 84.4%), and the weakest in fiscal Q3 2026 (a decline of 2.2%).
- Business Quant data shows DBI's Goodwill & Intangibles at $211.56 million (Q1 2027), $212.08 million (Q4 2026) and $211.7 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 210.22 Mn |
| May 2, 2026 | 211.56 Mn |
| Jan 31, 2026 | 212.08 Mn |
| Nov 1, 2025 | 211.70 Mn |
| Aug 2, 2025 | 212.60 Mn |
| May 3, 2025 | 215.78 Mn |
| Feb 1, 2025 | 215.03 Mn |
| Nov 2, 2024 | 216.50 Mn |
| Aug 3, 2024 | 216.95 Mn |
| May 4, 2024 | 218.92 Mn |
| Feb 3, 2024 | 206.59 Mn |
| Oct 28, 2023 | 206.79 Mn |
| Jul 29, 2023 | 207.90 Mn |
| Apr 29, 2023 | 210.22 Mn |
| Jan 28, 2023 | 128.98 Mn |
| Oct 29, 2022 | 112.93 Mn |
| Jul 30, 2022 | 113.89 Mn |
| Apr 30, 2022 | 114.01 Mn |
| Jan 29, 2022 | 109.18 Mn |
| Oct 30, 2021 | 109.66 Mn |
Designer Brands Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();