1 800 Flowers Com (FLWS) EV to EBITDA (2011 - 2024)
1 800 Flowers Com's EV to EBITDA was 11.11 in fiscal Q2 2025 (quarter ended Dec 29, 2024), up 1.8% from the prior quarter.
1 800 Flowers Com (FLWS) EV to EBITDA (2011 - 2024) Analysis & Trends
On a trailing twelve-month basis, 1 800 Flowers Com's EV to EBITDA was 2.72 through Dec 29, 2024; for FY2024 (ended Jun 30, 2024), it was 13.70, down 52.5% from FY2023.
- In earlier fiscal years, EV to EBITDA was 28.87 in FY2023 (+312.6%), 7.00 in FY2022 (-49.4%), 13.83 in FY2021 (+4.2%) and 13.28 in FY2020 (-32.1%).
- Quarterly EV to EBITDA has moved between 1.81 (fiscal Q2 2023) and 28.87 (fiscal Q4 2023) over five years.
- Per Business Quant data, FLWS's EV to EBITDA in the three fiscal quarters before Q2 2025 was 10.91 (Q1 2025), 13.70 (Q4 2024) and 13.42 (Q3 2024).
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 |
|---|---|
| Dec 29, 2024 | 11.11 |
| Sep 29, 2024 | 10.91 |
| Jun 30, 2024 | 13.70 |
| Mar 31, 2024 | 13.42 |
| Oct 1, 2023 | 27.29 |
| Jul 2, 2023 | 28.87 |
| Apr 2, 2023 | 58.71 |
| Jan 1, 2023 | 2.90 |
| Oct 2, 2022 | 7.06 |
| Mar 27, 2022 | 9.62 |
| Dec 26, 2021 | 6.07 |
| Sep 26, 2021 | 19.42 |
| Mar 28, 2021 | 10.32 |
| Dec 27, 2020 | 11.52 |
| Sep 27, 2020 | 14.87 |
| Jun 28, 2020 | 13.82 |
| Mar 29, 2020 | 10.92 |
| Dec 29, 2019 | 11.68 |
| Sep 29, 2019 | 16.07 |
| Jun 30, 2019 | 19.55 |
1 800 Flowers Com EV to EBITDA 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-ebitda&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();