Designer Brands (DBI) Long-Term Investments (2011 - 2026)
Designer Brands (DBI) posted Long-Term Investments of $55.15 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 7.2% from $59.45 million a year earlier and down 2.8% from the prior quarter.
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Analysis
Designer Brands (DBI) Long-Term Investments (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Designer Brands' Long-Term Investments came in at $56.26 million, down 0.9% from FY2025.
- Annual Long-Term Investments has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -0.8% (FY2021 to FY2026).
- In prior fiscal years, Designer Brands' Long-Term Investments was $56.76 million in FY2025 (-9.7%), $62.86 million in FY2024 (-1.5%), $63.82 million in FY2023 (+14.8%) and $55.58 million in FY2022 (-5.2%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Long-Term Investments since fiscal Q1 2026.
- On a year-over-year basis, Long-Term Investments increased in two of the last eight quarters, with an average decline of 4.0%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was fiscal Q1 2024, with growth of 20.0%; the weakest was fiscal Q3 2025, with a decline of 14.3%.
- According to Business Quant data, Long-Term Investments for the three prior fiscal quarters was $56.73 million (Q1 2027), $56.26 million (Q4 2026) and $59.94 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 179.00 Mn |
| 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 | 119.90 Mn |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | 55.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 55.15 Mn |
| May 2, 2026 | 56.73 Mn |
| Jan 31, 2026 | 56.26 Mn |
| Nov 1, 2025 | 59.94 Mn |
| Aug 2, 2025 | 59.45 Mn |
| May 3, 2025 | 54.86 Mn |
| Feb 1, 2025 | 56.76 Mn |
| Nov 2, 2024 | 53.36 Mn |
| Aug 3, 2024 | 61.02 Mn |
| May 4, 2024 | 62.86 Mn |
| Feb 3, 2024 | 62.86 Mn |
| Oct 28, 2023 | 62.24 Mn |
| Jul 29, 2023 | 62.94 Mn |
| Apr 29, 2023 | 66.15 Mn |
| Jan 28, 2023 | 63.82 Mn |
| Oct 29, 2022 | 64.25 Mn |
| Jul 30, 2022 | 61.96 Mn |
| Apr 30, 2022 | 55.12 Mn |
| Jan 29, 2022 | 55.58 Mn |
| Oct 30, 2021 | 56.62 Mn |
API Access
Designer Brands Long-Term Investments 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=long-term-investments&ticker=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();