Designer Brands (DBI) Shares Outstanding (Diluted) (2010 - 2026)
Designer Brands' Shares Outstanding (Diluted) was 55.97 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 12.5% from 49.73 million a year earlier and up 0.1% from the prior quarter.
Designer Brands (DBI) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shares Outstanding (Diluted) at Designer Brands came in at 49.14 million, down 8.4% from FY2025.
- Shares Outstanding (Diluted) has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -7.4% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Diluted) was 53.66 million in FY2025 (-15.3%), 63.38 million in FY2024 (-12.1%), 72.1 million in FY2023 (-6.7%) and 77.27 million in FY2022 (+7.0%).
- The fiscal Q2 2027 figure marks the highest quarterly Shares Outstanding (Diluted) since fiscal Q2 2025.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in two of the last eight quarters, with an average decline of 5.7%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q1 2027 (growth of 15.9%); the worst was fiscal Q1 2026 (a decline of 18.9%).
- Per Business Quant data, DBI's Shares Outstanding (Diluted) in the three fiscal quarters before Q2 2027 was 55.92 million (Q1 2027), 49.14 million (Q4 2026) and 51.53 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 55.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 55.97 Mn |
| May 2, 2026 | 55.92 Mn |
| Jan 31, 2026 | 49.14 Mn |
| Nov 1, 2025 | 51.53 Mn |
| Aug 2, 2025 | 49.73 Mn |
| May 3, 2025 | 48.24 Mn |
| Feb 1, 2025 | 53.66 Mn |
| Nov 2, 2024 | 53.49 Mn |
| Aug 3, 2024 | 58.58 Mn |
| May 4, 2024 | 59.47 Mn |
| Feb 3, 2024 | 63.38 Mn |
| Oct 28, 2023 | 61.41 Mn |
| Jul 29, 2023 | 67.00 Mn |
| Apr 29, 2023 | 67.04 Mn |
| Jan 28, 2023 | 72.10 Mn |
| Oct 29, 2022 | 69.14 Mn |
| Jul 30, 2022 | 73.94 Mn |
| Apr 30, 2022 | 76.92 Mn |
| Jan 29, 2022 | 77.27 Mn |
| Oct 30, 2021 | 77.14 Mn |
Designer Brands Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();