1 800 Flowers Com (FLWS) Depreciation & Amortization (CF) (2009 - 2026)
1 800 Flowers Com (FLWS) posted Depreciation & Amortization (CF) of $14.24 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 6.8% from $13.33 million a year earlier and up 10.3% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com's Depreciation & Amortization (CF) came in at $53.62 million, unchanged from FY2025.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In prior fiscal years, 1 800 Flowers Com's Depreciation & Amortization (CF) was $53.62 million in FY2025 (-0.2%), $53.75 million in FY2024 (+0.1%), $53.67 million in FY2023 (+9.4%) and $49.08 million in FY2022 (+15.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Depreciation & Amortization (CF) since fiscal Q2 2022.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in two of the last eight quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was fiscal Q4 2026, with growth of 6.8%; the weakest was fiscal Q2 2026, with a decline of 4.0%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior fiscal quarters was $12.91 million (Q3 2026), $13.57 million (Q2 2026) and $12.9 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 20.95 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 64.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 140.19 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 784.00 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 139.55 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 220.14 Mn |
| 10 | 1 800 Flowers Com | 175.23 Mn | -89.57 Mn | 58.50 Mn | 10.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 10.48 Mn |
| Jun 28, 2026 | 14.24 Mn |
| Mar 29, 2026 | 12.91 Mn |
| Dec 28, 2025 | 15.63 Mn |
| Sep 28, 2025 | 10.84 Mn |
| Jun 29, 2025 | 13.33 Mn |
| Mar 30, 2025 | 13.12 Mn |
| Dec 29, 2024 | 14.13 Mn |
| Sep 29, 2024 | 13.04 Mn |
| Jun 30, 2024 | 13.17 Mn |
| Mar 31, 2024 | 13.23 Mn |
| Dec 31, 2023 | 14.15 Mn |
| Oct 1, 2023 | 13.19 Mn |
| Jul 2, 2023 | 13.40 Mn |
| Apr 2, 2023 | 13.27 Mn |
| Oct 2, 2022 | 12.69 Mn |
| Sep 26, 2021 | 10.97 Mn |
| Dec 27, 2020 | 11.06 Mn |
| Sep 27, 2020 | 8.84 Mn |
| Jun 28, 2020 | 9.25 Mn |
API Access
1 800 Flowers Com Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();