Designer Brands (DBI) Intangibles (2015 - 2026)
Designer Brands' Intangibles was $79.61 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.8% from $81.88 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Designer Brands (DBI) Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Intangibles at Designer Brands came in at $81.24 million, down 4.0% from FY2025.
- Intangibles shows a five-year compound annual growth rate of 39.0% (FY2021 to FY2026).
- In earlier fiscal years, Intangibles was $84.64 million in FY2025 (+2.2%), $82.83 million in FY2024 (+159.9%), $31.87 million in FY2023 (+105.2%) and $15.53 million in FY2022 (-0.7%).
- The fiscal Q2 2027 figure marks the lowest quarterly Intangibles since fiscal Q2 2024.
- Compared with a year earlier, Intangibles has declined for six straight quarters, with an average decline of 2.2% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was fiscal Q3 2024 (growth of 330.8%); the worst was fiscal Q3 2026 (a decline of 5.5%).
- Per Business Quant data, DBI's Intangibles in the three fiscal quarters before Q2 2027 was $80.73 million (Q1 2027), $81.24 million (Q4 2026) and $81.09 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 10.48 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 5.71 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 53.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 79.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 79.61 Mn |
| May 2, 2026 | 80.73 Mn |
| Jan 31, 2026 | 81.24 Mn |
| Nov 1, 2025 | 81.09 Mn |
| Aug 2, 2025 | 81.88 Mn |
| May 3, 2025 | 85.06 Mn |
| Feb 1, 2025 | 84.64 Mn |
| Nov 2, 2024 | 85.85 Mn |
| Aug 3, 2024 | 86.33 Mn |
| May 4, 2024 | 85.25 Mn |
| Feb 3, 2024 | 82.83 Mn |
| Oct 28, 2023 | 83.03 Mn |
| Jul 29, 2023 | 72.64 Mn |
| Apr 29, 2023 | 75.45 Mn |
| Jan 28, 2023 | 31.87 Mn |
| Oct 29, 2022 | 19.27 Mn |
| Jul 30, 2022 | 20.24 Mn |
| Apr 30, 2022 | 20.36 Mn |
| Jan 29, 2022 | 15.53 Mn |
| Oct 30, 2021 | 16.01 Mn |
API Access
Designer Brands 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=intangibles&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();