1 800 Flowers Com (FLWS) Cash & Equivalents (2010 - 2026)
1 800 Flowers Com (FLWS) recorded Cash & Equivalents of $11.37 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 75.6% from $46.5 million a year earlier and down 77.6% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Cash & Equivalents (2010 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, 1 800 Flowers Com's Cash & Equivalents history includes 59 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -42.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $46.5 million in FY2025 (-70.8%), $159.44 million in FY2024 (+25.7%), $126.81 million in FY2023 (+303.0%) and $31.47 million in FY2022 (-81.9%).
- Quarterly Cash & Equivalents has ranged from $7.75 million in fiscal Q1 2026 to $312.02 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for seven consecutive quarters, with an average decline of 36.3% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 303.0% in fiscal Q4 2023, against a decline of 81.9% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $50.7 million (Q3 2026), $193.34 million (Q2 2026) and $7.75 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 4.29 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 | 262.18 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 253.73 Mn |
| 10 | 1 800 Flowers Com | 159.78 Mn | -103.37 Mn | 101.81 Mn | 11.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.37 Mn |
| Mar 29, 2026 | 50.70 Mn |
| Dec 28, 2025 | 193.34 Mn |
| Sep 28, 2025 | 7.75 Mn |
| Jun 29, 2025 | 46.50 Mn |
| Mar 30, 2025 | 84.68 Mn |
| Dec 29, 2024 | 247.22 Mn |
| Sep 29, 2024 | 8.41 Mn |
| Jun 30, 2024 | 159.44 Mn |
| Mar 31, 2024 | 183.96 Mn |
| Dec 31, 2023 | 312.02 Mn |
| Oct 1, 2023 | 8.38 Mn |
| Jul 2, 2023 | 126.81 Mn |
| Apr 2, 2023 | 51.60 Mn |
| Jan 1, 2023 | 189.72 Mn |
| Oct 2, 2022 | 9.44 Mn |
| Jul 3, 2022 | 31.47 Mn |
| Mar 27, 2022 | 93.03 Mn |
| Dec 26, 2021 | 271.07 Mn |
| Sep 26, 2021 | 3.79 Mn |
API Access
1 800 Flowers Com Cash & Equivalents 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=cash-and-equivalents&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();