1 800 Flowers Com (FLWS) Interest Coverage Ratio (2010 - 2026)
1 800 Flowers Com's (FLWS) Interest Coverage Ratio was -19.55 for fiscal Q4 2026 (quarter ended Jun 28, 2026), compared with -15.42 a year earlier.
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Analysis
1 800 Flowers Com (FLWS) Interest Coverage Ratio (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Interest Coverage Ratio at 1 800 Flowers Com was -7.50.
- By fiscal year, Interest Coverage Ratio came in at -13.27 in FY2025, -0.12 in FY2024 and -2.49 in FY2023.
- Five-year quarterly Interest Coverage Ratio spans a low of -65.81 in fiscal Q3 2025 and a high of 18.66 in fiscal Q2 2025.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -29.12 (Q3 2026), 11.97 (Q2 2026) and -10.93 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 20.90 |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 11.73 |
| 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 | 26.12 |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 14.11 |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 6.73 |
| 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 | -19.55 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -19.55 |
| Mar 29, 2026 | -29.12 |
| Dec 28, 2025 | 11.97 |
| Sep 28, 2025 | -10.93 |
| Jun 29, 2025 | -15.42 |
| Mar 30, 2025 | -65.81 |
| Dec 29, 2024 | 18.66 |
| Sep 29, 2024 | -11.69 |
| Oct 2, 2011 | -9.41 |
| Sep 26, 2010 | -6.79 |
API Access
1 800 Flowers Com Interest Coverage Ratio 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=interest-coverage-ratio&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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=interest-coverage-ratio&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();