Designer Brands (DBI) Long-Term Debt Repayments (2020 - 2026)
Designer Brands (DBI) posted Long-Term Debt Repayments of $1.69 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.1% from $1.69 million a year earlier and up 0.1% from the prior quarter.
Designer Brands (DBI) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Long-Term Debt Repayments at Designer Brands was $6.75 million, unchanged year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $6.75 million, unchanged from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- In prior fiscal years, Designer Brands' Long-Term Debt Repayments was $6.75 million in FY2025 (+260.0%), $1.88 million in FY2024 (-99.2%), $238.2 million in FY2023 and $12.5 million in FY2022 (+99.6%).
- Quarterly Long-Term Debt Repayments has run from a low of -$437.15 million in fiscal Q4 2022 to a high of $238.2 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last seven quarters, with an average decline of 1.4%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q4 2026, with growth of 0.1%; the weakest was fiscal Q3 2022, with a decline of 51.2%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $1.69 million (Q1 2027), $1.69 million (Q4 2026) and $1.69 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Designer Brands | 306.89 Mn | 102.97 Mn | 365.36 Mn | 3.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.02 Mn |
| May 2, 2026 | 1.69 Mn |
| Jan 31, 2026 | 1.69 Mn |
| Nov 1, 2025 | 1.32 Mn |
| Aug 2, 2025 | 2.06 Mn |
| May 3, 2025 | 1.69 Mn |
| Feb 1, 2025 | 1.69 Mn |
| Nov 2, 2024 | 1.69 Mn |
| Aug 3, 2024 | 1.69 Mn |
| May 4, 2024 | 1.69 Mn |
| Feb 3, 2024 | 1.88 Mn |
| Apr 30, 2022 | 238.20 Mn |
| Jan 29, 2022 | -446.53 Mn |
| Oct 30, 2021 | 27.54 Mn |
| Jul 31, 2021 | 182.70 Mn |
| May 1, 2021 | 248.80 Mn |
| Jan 30, 2021 | -46.86 Mn |
| Oct 31, 2020 | 53.13 Mn |
Designer Brands Long-Term Debt Repayments 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-debt-repayments&ticker=DBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-debt-repayments&ticker=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();