1 800 Flowers Com (FLWS) EPS (Diluted) (2010 - 2026)
1 800 Flowers Com (FLWS) recorded EPS (Diluted) of -$0.82 in fiscal Q4 2026 (quarter ended Jun 28, 2026), compared with -$0.81 a year earlier.
Analysis
1 800 Flowers Com (FLWS) EPS (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com reported EPS (Diluted) of -$2.11.
- Across earlier fiscal years, EPS (Diluted) came in at -$3.13 in FY2025, -$0.09 in FY2024, -$0.69 in FY2023 and $0.45 in FY2022 (-74.7%).
- Quarterly EPS (Diluted) has ranged from -$2.80 in fiscal Q3 2025 to $1.34 in fiscal Q1 2022 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.56 (Q3 2026), $1.10 (Q2 2026) and -$0.83 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 2.66 |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 4.11 |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 0.86 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 0.42 |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 38.07 |
| 10 | 1 800 Flowers Com | 159.78 Mn | -103.37 Mn | 101.81 Mn | -0.82 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -0.82 |
| Mar 29, 2026 | -1.56 |
| Dec 28, 2025 | 1.10 |
| Sep 28, 2025 | -0.83 |
| Jun 29, 2025 | -0.81 |
| Mar 30, 2025 | -2.80 |
| Dec 29, 2024 | 1.00 |
| Sep 29, 2024 | -0.53 |
| Jun 30, 2024 | -0.32 |
| Mar 31, 2024 | -0.26 |
| Dec 31, 2023 | 0.97 |
| Oct 1, 2023 | -0.48 |
| Jul 2, 2023 | -0.35 |
| Apr 2, 2023 | -1.10 |
| Jan 1, 2023 | 1.27 |
| Oct 2, 2022 | -0.51 |
| Mar 27, 2022 | -0.36 |
| Dec 26, 2021 | 1.34 |
| Sep 26, 2021 | -0.20 |
| Mar 28, 2021 | 0.02 |
API Access
1 800 Flowers Com EPS (Diluted) 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=eps-diluted&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();