1 800 Flowers Com (FLWS) Total Current Liabilities (2011 - 2026)
1 800 Flowers Com's Total Current Liabilities was $229.22 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 3.5% from $221.39 million a year earlier and up 1.3% from the prior quarter.
1 800 Flowers Com (FLWS) Total Current Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, 1 800 Flowers Com has reported Total Current Liabilities for 56 quarters.
- Total Current Liabilities shows a five-year compound annual growth rate of -2.9% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $221.39 million in FY2025 (-2.8%), $227.82 million in FY2024 (+3.4%), $220.26 million in FY2023 (-17.1%) and $265.7 million in FY2022 (-0.1%).
- Quarterly Total Current Liabilities has moved between $195.74 million (fiscal Q3 2025) and $420.95 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for four straight quarters, with growth averaging 5.2% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q1 2026 (growth of 29.8%); the worst was fiscal Q4 2023 (a decline of 17.1%).
- Per Business Quant data, FLWS's Total Current Liabilities in the three fiscal quarters before Q4 2026 was $226.21 million (Q3 2026), $332.76 million (Q2 2026) and $346.45 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 4.89 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 21.18 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 9.57 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 2.04 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 10.04 Bn |
| 10 | 1 800 Flowers Com | 166.17 Mn | -96.98 Mn | 101.81 Mn | 229.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 229.22 Mn |
| Mar 29, 2026 | 226.21 Mn |
| Dec 28, 2025 | 332.76 Mn |
| Sep 28, 2025 | 346.45 Mn |
| Jun 29, 2025 | 221.39 Mn |
| Mar 30, 2025 | 195.74 Mn |
| Dec 29, 2024 | 325.64 Mn |
| Sep 29, 2024 | 266.99 Mn |
| Jun 30, 2024 | 227.82 Mn |
| Mar 31, 2024 | 210.27 Mn |
| Dec 31, 2023 | 341.94 Mn |
| Oct 1, 2023 | 255.04 Mn |
| Jul 2, 2023 | 220.26 Mn |
| Apr 2, 2023 | 205.09 Mn |
| Jan 1, 2023 | 344.31 Mn |
| Oct 2, 2022 | 419.46 Mn |
| Jul 3, 2022 | 265.70 Mn |
| Mar 27, 2022 | 267.57 Mn |
| Dec 26, 2021 | 420.95 Mn |
| Sep 26, 2021 | 274.81 Mn |
1 800 Flowers Com Total Current Liabilities 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=total-current-liabilities&ticker=FLWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();