1 800 Flowers Com (FLWS) EV to EBIT (2011 - 2024)
1 800 Flowers Com's (FLWS) EV to EBIT stood at 462.65 in fiscal Q3 2024 (quarter ended Mar 31, 2024), compared with 15.95 a year earlier.
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Analysis
1 800 Flowers Com (FLWS) EV to EBIT (2011 - 2024) Analysis & Trends
On a TTM basis, 1 800 Flowers Com's EV to EBIT came in at 185.23 as of Mar 31, 2024; for FY2022 (ended Jul 3, 2022), it came in at 15.16, down 14.7% from FY2021.
- Annual EV to EBIT has declined for three straight fiscal years.
- Across earlier fiscal years, EV to EBIT came in at 17.77 in FY2021 (-4.7%), 18.65 in FY2020 (-42.7%), 32.54 in FY2019 (+43.5%) and 22.67 in FY2018 (+67.3%).
- The fiscal Q3 2024 figure is the highest quarterly EV to EBIT in data going back to fiscal Q4 2011.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 462.65 |
| Jan 1, 2023 | 3.83 |
| Oct 2, 2022 | 19.50 |
| Mar 27, 2022 | 16.34 |
| Dec 26, 2021 | 7.23 |
| Sep 26, 2021 | 26.74 |
| Mar 28, 2021 | 13.22 |
| Dec 27, 2020 | 14.28 |
| Sep 27, 2020 | 19.85 |
| Jun 28, 2020 | 18.65 |
| Mar 29, 2020 | 15.97 |
| Dec 29, 2019 | 18.29 |
| Sep 29, 2019 | 26.15 |
| Jun 30, 2019 | 32.54 |
| Mar 31, 2019 | 30.08 |
| Dec 30, 2018 | 10.59 |
| Sep 30, 2018 | 19.52 |
| Jul 1, 2018 | 22.67 |
| Apr 1, 2018 | 14.16 |
| Dec 31, 2017 | 12.12 |
API Access
1 800 Flowers Com EV to EBIT 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-ebit&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();