Designer Brands (DBI) Return on Capital Employed [ROCE] (2011 - 2026)
Designer Brands' Return on Capital Employed [ROCE] came in at 7.42% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 6.40 percentage points from 1.01% a year earlier and up 2.06 percentage points from the prior quarter.
Designer Brands (DBI) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Designer Brands' Return on Capital Employed [ROCE] was 3.45%, up 1.05 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a five-year change of +43.39 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 2.41% in FY2025 (-2.69 pp), 5.10% in FY2024 (-8.52 pp), 13.62% in FY2023 (-2.98 pp) and 16.59% in FY2022 (+56.53 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2024.
- Year-over-year, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of -0.02 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q4 2022 (a gain of 59.31 percentage points), and the weakest in fiscal Q2 2024 (a drop of 8.42 percentage points).
- Business Quant data shows DBI's Return on Capital Employed [ROCE] at 5.36% (Q1 2027), 3.32% (Q4 2026) and 2.42% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 30.02% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 30.97% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 15.67% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 18.45% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 47.86% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 33.85% |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 7.42% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.42% |
| May 2, 2026 | 5.36% |
| Jan 31, 2026 | 3.32% |
| Nov 1, 2025 | 2.42% |
| Aug 2, 2025 | 1.01% |
| May 3, 2025 | 1.23% |
| Feb 1, 2025 | 2.40% |
| Nov 2, 2024 | 1.62% |
| Aug 3, 2024 | 1.98% |
| May 4, 2024 | 4.23% |
| Feb 3, 2024 | 4.88% |
| Oct 28, 2023 | 7.56% |
| Jul 29, 2023 | 9.86% |
| Apr 29, 2023 | 10.76% |
| Jan 28, 2023 | 12.88% |
| Oct 29, 2022 | 14.64% |
| Jul 30, 2022 | 18.27% |
| Apr 30, 2022 | 18.66% |
| Jan 29, 2022 | 15.84% |
| Oct 30, 2021 | 10.09% |
Designer Brands Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();