1 800 Flowers Com (FLWS) Acquisitions (2011 - 2024)
1 800 Flowers Com's Acquisitions came in at $3 million for FY2025 (year ended Jun 29, 2025), down 18.3% from $3.67 million in FY2024.
Analysis
1 800 Flowers Com (FLWS) Acquisitions (2011 - 2024) Analysis & Trends
Going back to FY2011, 1 800 Flowers Com's Acquisitions data covers 11 fiscal years.
- Acquisitions has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -31.9% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Acquisitions in data going back to FY2011.
- Per Business Quant, earlier fiscal years put Acquisitions at $3.67 million in FY2024 (-40.3%), $6.15 million in FY2023 (-71.1%), $21.28 million in FY2022 (-91.5%) and $250.94 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 24.36 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 1.05 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 | 29.00 Mn |
| 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 |
|---|---|
| Sep 29, 2024 | 3.00 Mn |
| Jun 30, 2024 | 3.67 Mn |
| Jul 2, 2023 | 1.15 Mn |
| Apr 2, 2023 | 5.00 Mn |
| Sep 27, 2020 | 250.94 Mn |
| Mar 29, 2020 | -230.44 Mn |
| Sep 29, 2019 | 20.50 Mn |
| Jun 28, 2015 | -1.12 Mn |
| Jun 29, 2014 | 7.62 Mn |
| Jun 30, 2013 | 1.70 Mn |
| Oct 2, 2011 | 4.34 Mn |
| Jul 3, 2011 | 2.86 Mn |
API Access
1 800 Flowers Com Acquisitions 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=acquisitions&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();