1 800 Flowers Com (FLWS) Times Interest Earned (2010 - 2026)
1 800 Flowers Com's (FLWS) Times Interest Earned stood at -19.55 in 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) Times Interest Earned (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com's Times Interest Earned came in at -7.50.
- Across earlier fiscal years, Times Interest Earned came in at -13.27 in FY2025, -0.12 in FY2024 and -2.49 in FY2023.
- Quarterly Times Interest Earned has ranged from -65.81 in fiscal Q3 2025 to 18.66 in fiscal Q2 2025 over the past five years.
- Per Business Quant, the preceding three fiscal quarters 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) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 20.90 |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 11.73 |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.12 |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 14.11 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 6.73 |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | 1 800 Flowers Com | 159.78 Mn | -103.37 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 Times Interest Earned 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=times-interest-earned&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();