Designer Brands (DBI) Return on Assets [ROA] (2011 - 2026)
Designer Brands' Return on Assets [ROA] came in at 1.21% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.73 percentage points from -1.53% a year earlier and up 0.47 percentage points from the prior quarter.
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Analysis
Designer Brands (DBI) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Designer Brands' Return on Assets [ROA] was -0.28%, up 0.21 percentage points from FY2025.
- Return on Assets [ROA] carries a five-year change of +21.72 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was -0.49% in FY2025 (-1.92 pp), 1.43% in FY2024 (-6.65 pp), 8.08% in FY2023 (+0.34 pp) and 7.74% in FY2022 (+29.75 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Assets [ROA] since fiscal Q4 2024.
- Year-over-year, Return on Assets [ROA] has increased for three consecutive quarters, with an average year-over-year change of -0.82 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q4 2022 (a gain of 30.77 percentage points), and the weakest in fiscal Q2 2025 (a drop of 6.70 percentage points).
- Business Quant data shows DBI's Return on Assets [ROA] at 0.74% (Q1 2027), -0.33% (Q4 2026) and -1.25% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98% |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 1.21% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.21% |
| May 2, 2026 | 0.74% |
| Jan 31, 2026 | -0.33% |
| Nov 1, 2025 | -1.25% |
| Aug 2, 2025 | -1.53% |
| May 3, 2025 | -1.39% |
| Feb 1, 2025 | -0.49% |
| Nov 2, 2024 | -0.07% |
| Aug 3, 2024 | -0.21% |
| May 4, 2024 | 0.88% |
| Feb 3, 2024 | 1.39% |
| Oct 28, 2023 | 4.86% |
| Jul 29, 2023 | 6.49% |
| Apr 29, 2023 | 7.14% |
| Jan 28, 2023 | 7.78% |
| Oct 29, 2022 | 6.18% |
| Jul 30, 2022 | 7.97% |
| Apr 30, 2022 | 7.98% |
| Jan 29, 2022 | 7.52% |
| Oct 30, 2021 | 0.30% |
API Access
Designer Brands Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();