Designer Brands (DBI) Change in Taxes (2021 - 2024)
Designer Brands (DBI) posted Change in Taxes of -$44.48 million for FY2025 (year ended Feb 1, 2025), compared with $455,000 in FY2024.
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Analysis
Designer Brands (DBI) Change in Taxes (2021 - 2024) Analysis & Trends
Since FY2021, Designer Brands has reported Change in Taxes for 5 fiscal years.
- Annual Change in Taxes has run from a low of -$118.22 million in FY2023 to a high of $149.82 million in FY2021 over five years.
- Business Quant data shows DBI's Change in Taxes at $455,000 in FY2024, -$118.22 million in FY2023, $12.42 million in FY2022 (-91.7%) and $149.82 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (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 | -552.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 18.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | -123.35 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | -34.79 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 21.04 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 3, 2024 | -44.99 Mn |
| May 4, 2024 | 514,000.00 |
| Feb 3, 2024 | 1.45 Mn |
| Oct 28, 2023 | 536,000.00 |
| Jul 29, 2023 | 470,000.00 |
| Apr 29, 2023 | -2.00 Mn |
| Jan 28, 2023 | -121.20 Mn |
| Oct 29, 2022 | 1.39 Mn |
| Jul 30, 2022 | 1.04 Mn |
| Apr 30, 2022 | 548,000.00 |
| Jan 29, 2022 | -4.70 Mn |
| Oct 30, 2021 | 8.04 Mn |
| May 1, 2021 | 9.07 Mn |
| Jan 30, 2021 | 149.82 Mn |
API Access
Designer Brands Change in Taxes 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=change-in-taxes&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();