1 800 Flowers Com (FLWS) Long-Term Debt Repayments (2010 - 2026)
1 800 Flowers Com (FLWS) posted Long-Term Debt Repayments of $6 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), unchanged from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com's Long-Term Debt Repayments came in at $196 million, up 40.0% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 2.3% (FY2021 to FY2026).
- In prior fiscal years, 1 800 Flowers Com's Long-Term Debt Repayments was $140 million in FY2025 (+52.2%), $92 million in FY2024 (-74.5%), $360.9 million in FY2023 (+148.9%) and $145 million in FY2022 (-17.1%).
- Quarterly Long-Term Debt Repayments has run from a low of $2.5 million in fiscal Q1 2024 to a high of $181 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last four quarters, with growth averaging 28.6%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $6 million (Q3 2026), $181 million (Q2 2026) and $3 million (Q1 2026).
Peer Set
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 | 1 800 Flowers Com | 169.37 Mn | -93.78 Mn | 101.81 Mn | 6.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.00 Mn |
| Mar 29, 2026 | 6.00 Mn |
| Dec 28, 2025 | 181.00 Mn |
| Sep 28, 2025 | 3.00 Mn |
| Dec 29, 2024 | 137.50 Mn |
| Sep 29, 2024 | 2.50 Mn |
| Jun 30, 2024 | 2.50 Mn |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | 84.50 Mn |
| Oct 1, 2023 | 2.50 Mn |
| Jul 2, 2023 | 150.00 Mn |
| Apr 2, 2023 | 5.00 Mn |
| Oct 2, 2022 | 5.00 Mn |
| Dec 27, 2020 | 72.50 Mn |
| Sep 27, 2020 | 97.50 Mn |
| Jun 28, 2020 | 1.25 Mn |
| Mar 29, 2020 | -146.25 Mn |
| Sep 29, 2019 | 1.25 Mn |
| Mar 31, 2019 | 2.88 Mn |
| Dec 30, 2018 | 32.16 Mn |
API Access
1 800 Flowers Com 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=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "FLWS", "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=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();