1 800 Flowers Com (FLWS) Non-Current Debt (2011 - 2026)
1 800 Flowers Com's Non-Current Debt came in at $112.18 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 16.8% from $134.76 million a year earlier and down 4.8% from the prior quarter.
1 800 Flowers Com (FLWS) Non-Current Debt (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, 1 800 Flowers Com's Non-Current Debt data covers 50 quarters.
- Non-Current Debt has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -7.0% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Debt was $134.76 million in FY2025 (-23.9%), $177.11 million in FY2024 (-5.0%), $186.39 million in FY2023 (+30.8%) and $142.5 million in FY2022 (-11.8%).
- The fiscal Q4 2026 figure represents the lowest quarterly Non-Current Debt since fiscal Q4 2020.
- Year-over-year, Non-Current Debt has declined for nine consecutive quarters, with an average decline of 18.1% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in fiscal Q3 2024 (growth of 40.1%), and the weakest in fiscal Q1 2026 (a decline of 25.2%).
- Business Quant data shows FLWS's Non-Current Debt at $117.82 million (Q3 2026), $123.47 million (Q2 2026) and $128.94 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current 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 | 43.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.87 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 35.20 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 777.05 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 14.22 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 | 4.85 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 | 112.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 112.18 Mn |
| Mar 29, 2026 | 117.82 Mn |
| Dec 28, 2025 | 123.47 Mn |
| Sep 28, 2025 | 128.94 Mn |
| Jun 29, 2025 | 134.76 Mn |
| Mar 30, 2025 | 142.28 Mn |
| Dec 29, 2024 | 157.47 Mn |
| Sep 29, 2024 | 172.29 Mn |
| Jun 30, 2024 | 177.11 Mn |
| Mar 31, 2024 | 179.43 Mn |
| Dec 31, 2023 | 181.75 Mn |
| Oct 1, 2023 | 184.07 Mn |
| Jul 2, 2023 | 186.39 Mn |
| Apr 2, 2023 | 128.11 Mn |
| Jan 1, 2023 | 132.79 Mn |
| Oct 2, 2022 | 138.17 Mn |
| Jul 3, 2022 | 142.50 Mn |
| Mar 27, 2022 | 147.17 Mn |
| Dec 26, 2021 | 151.84 Mn |
| Sep 26, 2021 | 156.81 Mn |
1 800 Flowers Com Non-Current 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=non-current-debt&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();