1 800 Flowers Com (FLWS) Net Debt Issuances and Repayments (2010 - 2026)
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Analysis
1 800 Flowers Com (FLWS) Net Debt Issuances and Repayments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,673.40 Bn | 2,190.10 Bn | 104.83 Bn | 10.15 Bn |
| 2 | Home Depot | 316.76 Bn | 310.00 Bn | 16.12 Bn | -817.00 Mn |
| 3 | Tjx Companies | 160.44 Bn | 137.98 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 110.99 Bn | 103.95 Bn | 8.58 Bn | -21.00 Mn |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 815.78 Mn |
| 6 | Ross Stores | 72.67 Bn | 55.59 Bn | 2.12 Bn | - |
| 7 | Target | 69.11 Bn | 63.69 Bn | 8.94 Bn | -38.00 Mn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 78.94 Mn |
| 9 | Carvana | 41.29 Bn | 31.78 Bn | 1.38 Bn | 81.00 Mn |
| 10 | 1 800 Flowers Com | 182.47 Mn | -80.68 Mn | 101.81 Mn | -6.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -6.00 Mn |
| Mar 29, 2026 | -6.00 Mn |
| Dec 28, 2025 | -116.00 Mn |
| Sep 28, 2025 | 107.00 Mn |
| Dec 29, 2024 | -72.50 Mn |
| Sep 29, 2024 | 42.50 Mn |
| Jun 30, 2024 | -2.50 Mn |
| Mar 31, 2024 | -2.50 Mn |
| Dec 31, 2023 | -37.50 Mn |
| Oct 1, 2023 | 32.50 Mn |
| Jul 2, 2023 | 50.00 Mn |
| Apr 2, 2023 | -5.00 Mn |
| Oct 2, 2022 | 135.00 Mn |
| Dec 27, 2020 | -27.50 Mn |
| Sep 27, 2020 | 122.50 Mn |
| Jun 28, 2020 | -1.25 Mn |
| Mar 29, 2020 | -98.75 Mn |
| Sep 29, 2019 | -1.25 Mn |
| Jun 30, 2019 | 2.25 Mn |
| Mar 31, 2019 | -2.88 Mn |
API Access
1 800 Flowers Com Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();