Designer Brands (DBI) Profit After Tax (2010 - 2026)
Designer Brands' Profit After Tax came in at $20.55 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 89.0% from $10.87 million a year earlier and up 422.3% from the prior quarter.
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Analysis
Designer Brands (DBI) Profit After Tax (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Designer Brands reported Profit After Tax of $25.62 million; for FY2026 (ended Jan 31, 2026), it was -$4.72 million.
- Going back by fiscal year, Profit After Tax was -$9.98 million in FY2025, $29.22 million in FY2024 (-82.0%), $162.67 million in FY2023 (+5.3%) and $154.48 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Profit After Tax since fiscal Q2 2024.
- Year-over-year, Profit After Tax increased in three of the last four quarters, with growth averaging 35.5%.
- The fastest year-over-year change in Profit After Tax over five years came in fiscal Q4 2023 (growth of 213.0%), and the weakest in fiscal Q1 2025 (a decline of 92.2%).
- Business Quant data shows DBI's Profit After Tax at $3.94 million (Q1 2027), -$18.19 million (Q4 2026) and $19.32 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 62.66 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 4.77 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 1.52 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 2.40 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 851.30 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.88 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 715.06 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 513.00 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 641.49 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 20.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 20.55 Mn |
| May 2, 2026 | 3.94 Mn |
| Jan 31, 2026 | -18.19 Mn |
| Nov 1, 2025 | 19.32 Mn |
| Aug 2, 2025 | 10.87 Mn |
| May 3, 2025 | -17.68 Mn |
| Feb 1, 2025 | -38.16 Mn |
| Nov 2, 2024 | 13.21 Mn |
| Aug 3, 2024 | 14.08 Mn |
| May 4, 2024 | 885,000.00 |
| Feb 3, 2024 | -29.62 Mn |
| Oct 28, 2023 | 10.21 Mn |
| Jul 29, 2023 | 37.26 Mn |
| Apr 29, 2023 | 11.37 Mn |
| Jan 28, 2023 | 45.10 Mn |
| Oct 29, 2022 | 45.17 Mn |
| Jul 30, 2022 | 46.21 Mn |
| Apr 30, 2022 | 26.18 Mn |
| Jan 29, 2022 | 14.41 Mn |
| Oct 30, 2021 | 80.18 Mn |
API Access
Designer Brands Profit After Tax 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=profit-after-tax&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();