1 800 Flowers Com (FLWS) Other Non-Current Liabilities (2011 - 2026)
1 800 Flowers Com (FLWS) posted Other Non-Current Liabilities of $50.5 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 20.6% from $41.86 million a year earlier and up 15.4% from the prior quarter.
1 800 Flowers Com (FLWS) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, 1 800 Flowers Com has reported Other Non-Current Liabilities for 56 quarters.
- Annual Other Non-Current Liabilities has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 13.7% (FY2021 to FY2026).
- In prior fiscal years, 1 800 Flowers Com's Other Non-Current Liabilities was $41.86 million in FY2025 (+15.9%), $36.11 million in FY2024 (+47.5%), $24.47 million in FY2023 (+36.8%) and $17.88 million in FY2022 (-32.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2011.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last 11 quarters, with growth averaging 23.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q3 2024, with growth of 66.6%; the weakest was fiscal Q4 2022, with a decline of 32.8%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $43.75 million (Q3 2026), $46.8 million (Q2 2026) and $44.76 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | 1 800 Flowers Com | 166.17 Mn | -96.98 Mn | 101.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 50.50 Mn |
| Mar 29, 2026 | 43.75 Mn |
| Dec 28, 2025 | 46.80 Mn |
| Sep 28, 2025 | 44.76 Mn |
| Jun 29, 2025 | 41.86 Mn |
| Mar 30, 2025 | 37.75 Mn |
| Dec 29, 2024 | 39.61 Mn |
| Sep 29, 2024 | 38.73 Mn |
| Jun 30, 2024 | 36.11 Mn |
| Mar 31, 2024 | 34.44 Mn |
| Dec 31, 2023 | 28.90 Mn |
| Oct 1, 2023 | 25.51 Mn |
| Jul 2, 2023 | 24.47 Mn |
| Apr 2, 2023 | 20.67 Mn |
| Jan 1, 2023 | 19.76 Mn |
| Oct 2, 2022 | 17.43 Mn |
| Jul 3, 2022 | 17.88 Mn |
| Mar 27, 2022 | 21.80 Mn |
| Dec 26, 2021 | 22.11 Mn |
| Sep 26, 2021 | 26.93 Mn |
1 800 Flowers Com Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();