Designer Brands (DBI) Tax Provisions (2010 - 2026)
Designer Brands (DBI) posted Tax Provisions of $10.03 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 194.3% from $3.41 million a year earlier and up 108.8% from the prior quarter.
Designer Brands (DBI) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Tax Provisions at Designer Brands was $20.22 million; for FY2026 (ended Jan 31, 2026), it was $6.96 million.
- In prior fiscal years, Designer Brands' Tax Provisions was -$755,000 in FY2025, $10.98 million in FY2024, -$3.14 million in FY2023 and $18.54 million in FY2022.
- Quarterly Tax Provisions has run from a low of -$47.39 million in fiscal Q4 2023 to a high of $18.67 million in fiscal Q2 2023 over five years.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q2 2027, with growth of 194.3%; the weakest was fiscal Q1 2024, with a decline of 88.3%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $4.81 million (Q1 2027), -$6.5 million (Q4 2026) and $11.89 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 283.46 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 582.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 209.01 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 66.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 171.78 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 10.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 10.03 Mn |
| May 2, 2026 | 4.81 Mn |
| Jan 31, 2026 | -6.50 Mn |
| Nov 1, 2025 | 11.89 Mn |
| Aug 2, 2025 | 3.41 Mn |
| May 3, 2025 | -2.19 Mn |
| Feb 1, 2025 | 1.31 Mn |
| Nov 2, 2024 | -2.22 Mn |
| Aug 3, 2024 | 3.36 Mn |
| May 4, 2024 | -3.21 Mn |
| Feb 3, 2024 | -16.39 Mn |
| Oct 28, 2023 | 8.99 Mn |
| Jul 29, 2023 | 17.08 Mn |
| Apr 29, 2023 | 1.31 Mn |
| Jan 28, 2023 | -47.39 Mn |
| Oct 29, 2022 | 14.38 Mn |
| Jul 30, 2022 | 18.67 Mn |
| Apr 30, 2022 | 11.20 Mn |
| Jan 29, 2022 | -253,000.00 |
| Oct 30, 2021 | 16.59 Mn |
Designer Brands Tax Provisions 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=tax-provisions&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();