1 800 Flowers Com (FLWS) Total Debt (2011 - 2026)
1 800 Flowers Com (FLWS) posted Total Debt of $136.18 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 12.6% from $155.76 million a year earlier and down 4.0% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Total Debt (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, 1 800 Flowers Com has reported Total Debt for 55 quarters.
- Annual Total Debt has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -5.6% (FY2021 to FY2026).
- In prior fiscal years, 1 800 Flowers Com's Total Debt was $155.76 million in FY2025 (-16.8%), $187.11 million in FY2024 (-4.7%), $196.39 million in FY2023 (+20.9%) and $162.5 million in FY2022 (-10.5%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Total Debt since fiscal Q4 2020.
- On a year-over-year basis, Total Debt has declined in each of the last three quarters, with an average decline of 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q3 2024, with growth of 27.9%; the weakest was fiscal Q2 2025, with a decline of 17.9%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $141.82 million (Q3 2026), $147.47 million (Q2 2026) and $262.94 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 52.90 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.87 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 37.56 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 15.36 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 5.24 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 9.02 Bn |
| 10 | 1 800 Flowers Com | 159.78 Mn | -103.37 Mn | 101.81 Mn | 136.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 136.18 Mn |
| Mar 29, 2026 | 141.82 Mn |
| Dec 28, 2025 | 147.47 Mn |
| Sep 28, 2025 | 262.94 Mn |
| Jun 29, 2025 | 155.76 Mn |
| Mar 30, 2025 | 157.28 Mn |
| Dec 29, 2024 | 157.47 Mn |
| Sep 29, 2024 | 229.79 Mn |
| Jun 30, 2024 | 187.11 Mn |
| Mar 31, 2024 | 189.43 Mn |
| Dec 31, 2023 | 191.75 Mn |
| Oct 1, 2023 | 229.07 Mn |
| Jul 2, 2023 | 196.39 Mn |
| Apr 2, 2023 | 148.11 Mn |
| Jan 1, 2023 | 152.79 Mn |
| Oct 2, 2022 | 298.17 Mn |
| Jul 3, 2022 | 162.50 Mn |
| Mar 27, 2022 | 167.17 Mn |
| Dec 26, 2021 | 171.84 Mn |
| Sep 26, 2021 | 181.81 Mn |
API Access
1 800 Flowers Com Total Debt 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=total-debt&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();