1 800 Flowers Com (FLWS) EV to FCF (2011 - 2024)
1 800 Flowers Com's (FLWS) EV to FCF was 25.66 for fiscal Q1 2025 (quarter ended Sep 29, 2024), up 104.3% from the prior quarter.
1 800 Flowers Com (FLWS) EV to FCF (2011 - 2024) Analysis & Trends
Over the twelve months ended Sep 29, 2024, 1 800 Flowers Com's EV to FCF came in at -10.93; for FY2024 (ended Jun 30, 2024), it came in at 12.56, up 64.9% from FY2023.
- By fiscal year, EV to FCF came in at 7.62 in FY2023, 22.44 in FY2021 (+56.8%) and 14.31 in FY2020 (-55.6%).
- The fiscal Q1 2025 figure ranks as the highest quarterly EV to FCF since fiscal Q1 2020.
- Per Business Quant data, the three fiscal quarters before Q1 2025 came in at 12.56 (Q4 2024), 7.27 (Q3 2024) and 3.35 (Q2 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 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 |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2024 | 25.66 |
| Jun 30, 2024 | 12.56 |
| Mar 31, 2024 | 7.27 |
| Dec 31, 2023 | 3.35 |
| Sep 26, 2021 | 20.33 |
| Dec 27, 2020 | 18.49 |
| Sep 29, 2019 | 29.02 |
| Jun 30, 2019 | 32.23 |
| Mar 31, 2019 | 24.37 |
| Dec 30, 2018 | 10.67 |
| Sep 30, 2018 | 19.86 |
| Jul 1, 2018 | 37.18 |
| Apr 1, 2018 | 17.50 |
| Dec 31, 2017 | 12.75 |
| Oct 1, 2017 | 15.55 |
| Jul 2, 2017 | 22.97 |
| Apr 2, 2017 | 66.16 |
| Jan 1, 2017 | 26.66 |
| Oct 2, 2016 | 19.25 |
| Jul 3, 2016 | 30.69 |
1 800 Flowers Com EV to FCF 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=ev-to-fcf&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();