1 800 Flowers Com (FLWS) Selling, General & Administrative (2009 - 2026)
1 800 Flowers Com's Selling, General & Administrative came in at $37.96 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 7.4% from $35.36 million a year earlier and up 15.5% from the prior quarter.
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Analysis
1 800 Flowers Com (FLWS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), 1 800 Flowers Com's Selling, General & Administrative was $139 million, up 18.9% from FY2025.
- Selling, General & Administrative carries a five-year compound annual growth rate of 3.5% (FY2021 to FY2026).
- Going back by fiscal year, Selling, General & Administrative was $116.93 million in FY2025 (-1.0%), $118.06 million in FY2024 (+4.7%), $112.75 million in FY2023 (+10.2%) and $102.34 million in FY2022 (-12.6%).
- The fiscal Q4 2026 figure represents the highest quarterly Selling, General & Administrative since fiscal Q2 2022.
- Year-over-year, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q2 2026 (growth of 35.2%), and the weakest in fiscal Q3 2025 (a decline of 20.6%).
- Business Quant data shows FLWS's Selling, General & Administrative at $32.86 million (Q3 2026), $37.07 million (Q2 2026) and $31.12 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 2.70 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 805.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 5.73 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 1.58 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 2.20 Bn |
| 10 | 1 800 Flowers Com | 175.23 Mn | -89.57 Mn | 58.50 Mn | 28.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 28.48 Mn |
| Jun 28, 2026 | 37.96 Mn |
| Mar 29, 2026 | 32.86 Mn |
| Dec 28, 2025 | 37.07 Mn |
| Sep 28, 2025 | 29.33 Mn |
| Jun 29, 2025 | 35.36 Mn |
| Mar 30, 2025 | 25.63 Mn |
| Dec 29, 2024 | 27.41 Mn |
| Sep 29, 2024 | 28.53 Mn |
| Jun 30, 2024 | 30.12 Mn |
| Mar 31, 2024 | 32.30 Mn |
| Dec 31, 2023 | 27.15 Mn |
| Oct 1, 2023 | 28.49 Mn |
| Jul 2, 2023 | 31.67 Mn |
| Apr 2, 2023 | 25.92 Mn |
| Jan 1, 2023 | 28.91 Mn |
| Oct 2, 2022 | 26.25 Mn |
| Mar 27, 2022 | 22.55 Mn |
| Dec 26, 2021 | 28.87 Mn |
| Sep 26, 2021 | 27.07 Mn |
API Access
1 800 Flowers Com Selling, General & Administrative 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=selling-general-and-administrative&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();