Designer Brands (DBI) Equity Income (2014 - 2026)
Designer Brands (DBI) posted Equity Income of $2.78 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.8% from $2.58 million a year earlier and up 0.7% from the prior quarter.
Designer Brands (DBI) Equity Income (2014 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Equity Income at Designer Brands was $11.56 million, down 9.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $11.03 million, down 16.1% from FY2025.
- Annual Equity Income shows a five-year compound annual growth rate of 3.4% (FY2021 to FY2026).
- In prior fiscal years, Designer Brands' Equity Income was $13.15 million in FY2025 (+40.0%), $9.39 million in FY2024 (+5.9%), $8.86 million in FY2023 (-1.4%) and $8.99 million in FY2022 (-3.7%).
- Quarterly Equity Income has run from a low of $1.95 million in fiscal Q1 2023 to a high of $4.13 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Equity Income increased in five of the last eight quarters, with growth averaging 9.7%.
- The strongest year-over-year quarter for Equity Income in the past five years was fiscal Q4 2025, with growth of 70.6%; the weakest was fiscal Q4 2026, with a decline of 29.2%.
- According to Business Quant data, Equity Income for the three prior fiscal quarters was $2.76 million (Q1 2027), $2.92 million (Q4 2026) and $3.1 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equity Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -11.00 Mn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 2.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.78 Mn |
| May 2, 2026 | 2.76 Mn |
| Jan 31, 2026 | 2.92 Mn |
| Nov 1, 2025 | 3.10 Mn |
| Aug 2, 2025 | 2.58 Mn |
| May 3, 2025 | 2.43 Mn |
| Feb 1, 2025 | 4.13 Mn |
| Nov 2, 2024 | 3.58 Mn |
| Aug 3, 2024 | 2.57 Mn |
| May 4, 2024 | 2.86 Mn |
| Feb 3, 2024 | 2.42 Mn |
| Oct 28, 2023 | 2.50 Mn |
| Jul 29, 2023 | 2.14 Mn |
| Apr 29, 2023 | 2.33 Mn |
| Jan 28, 2023 | 2.19 Mn |
| Oct 29, 2022 | 2.29 Mn |
| Jul 30, 2022 | 2.44 Mn |
| Apr 30, 2022 | 1.95 Mn |
| Jan 29, 2022 | 2.39 Mn |
| Oct 30, 2021 | 2.60 Mn |
Designer Brands Equity Income 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=equity-income&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equity-income", "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=equity-income&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();