1 800 Flowers Com (FLWS) Capital Expenditures (2010 - 2026)
1 800 Flowers Com (FLWS) recorded Capital Expenditures of $8.44 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 6.5% from $9.03 million a year earlier and down 1.2% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com reported Capital Expenditures of $31.28 million, down 24.6% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of -10.7% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $41.46 million in FY2025 (+7.3%), $38.63 million in FY2024 (-13.5%), $44.65 million in FY2023 (-32.8%) and $66.41 million in FY2022 (+20.3%).
- Quarterly Capital Expenditures has ranged from $6.65 million in fiscal Q1 2026 to $47.95 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for five consecutive quarters, with an average decline of 4.2% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 73.1% in fiscal Q1 2025, against a decline of 44.9% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.55 million (Q3 2026), $7.64 million (Q2 2026) and $6.65 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 345.51 Mn |
| 10 | 1 800 Flowers Com | 166.17 Mn | -96.98 Mn | 101.81 Mn | 8.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 8.44 Mn |
| Mar 29, 2026 | 8.55 Mn |
| Dec 28, 2025 | 7.64 Mn |
| Sep 28, 2025 | 6.65 Mn |
| Jun 29, 2025 | 9.03 Mn |
| Mar 30, 2025 | 9.41 Mn |
| Dec 29, 2024 | 10.95 Mn |
| Sep 29, 2024 | 12.08 Mn |
| Jun 30, 2024 | 12.15 Mn |
| Mar 31, 2024 | 8.68 Mn |
| Dec 31, 2023 | 10.83 Mn |
| Oct 1, 2023 | 6.97 Mn |
| Jul 2, 2023 | 13.30 Mn |
| Apr 2, 2023 | 7.50 Mn |
| Oct 2, 2022 | 11.03 Mn |
| Sep 26, 2021 | 11.12 Mn |
| Dec 27, 2020 | 8.75 Mn |
| Sep 27, 2020 | 6.96 Mn |
| Jun 28, 2020 | 12.42 Mn |
| Mar 29, 2020 | 6.57 Mn |
API Access
1 800 Flowers Com Capital Expenditures 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=capital-expenditures&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();