Designer Brands (DBI) Cash & Equivalents (2010 - 2026)
Designer Brands (DBI) reported Cash & Equivalents of $51.59 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 14.8% from $44.94 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Designer Brands (DBI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands posted Cash & Equivalents of $50.87 million, up 13.7% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $44.75 million in FY2025 (-9.0%), $49.17 million in FY2024 (-16.3%), $58.77 million in FY2023 (-19.2%) and $72.69 million in FY2022 (+22.0%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Cash & Equivalents since fiscal Q3 2024.
- Year over year, Cash & Equivalents has now increased in each of the last six quarters, with growth averaging 7.3% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2026 (growth of 41.8%); the low point was fiscal Q3 2025 (a decline of 33.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $50.1 million (Q1 2027), $50.87 million (Q4 2026) and $51.35 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 262.18 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 51.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 51.59 Mn |
| May 2, 2026 | 50.10 Mn |
| Jan 31, 2026 | 50.87 Mn |
| Nov 1, 2025 | 51.35 Mn |
| Aug 2, 2025 | 44.94 Mn |
| May 3, 2025 | 46.03 Mn |
| Feb 1, 2025 | 44.75 Mn |
| Nov 2, 2024 | 36.23 Mn |
| Aug 3, 2024 | 38.83 Mn |
| May 4, 2024 | 43.43 Mn |
| Feb 3, 2024 | 49.17 Mn |
| Oct 28, 2023 | 54.64 Mn |
| Jul 29, 2023 | 46.19 Mn |
| Apr 29, 2023 | 50.57 Mn |
| Jan 28, 2023 | 58.77 Mn |
| Oct 29, 2022 | 62.51 Mn |
| Jul 30, 2022 | 50.80 Mn |
| Apr 30, 2022 | 54.80 Mn |
| Jan 29, 2022 | 72.69 Mn |
| Oct 30, 2021 | 83.07 Mn |
API Access
Designer Brands Cash & Equivalents 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=cash-and-equivalents&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();