1 800 Flowers Com (FLWS) Equity Income (2013 - 2015)
1 800 Flowers Com (FLWS) recorded Equity Income of -$100,000 in fiscal Q1 2020 (quarter ended Sep 29, 2019), compared with -$100,000 a year earlier.
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Analysis
1 800 Flowers Com (FLWS) Equity Income (2013 - 2015) Analysis & Trends
For FY2019 (ended Jun 30, 2019), 1 800 Flowers Com reported Equity Income of $100,000, unchanged from FY2018.
- Across earlier fiscal years, Equity Income came in at $100,000 in FY2018 (unchanged), $100,000 in FY2017 (unchanged), $100,000 in FY2016 and -$300,000 in FY2015.
- Quarterly Equity Income has ranged from -$100,000 in fiscal Q2 2015 to $200,000 in fiscal Q4 2019 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $200,000 (Q4 2019), -$100,000 (Q3 2019) and -$100,000 (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equity Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,842.80 Bn | 2,359.50 Bn | 104.83 Bn | -11.00 Mn |
| 2 | Home Depot | 312.39 Bn | 305.63 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 161.60 Bn | 139.15 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.80 Bn | 102.76 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.21 Bn | 58.14 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.40 Bn | 72.49 Bn | 2.52 Bn | - |
| 7 | Target | 69.95 Bn | 64.53 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.83 Bn | 50.74 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.36 Bn | 33.85 Bn | 1.38 Bn | - |
| 10 | 1 800 Flowers Com | 169.69 Mn | -93.46 Mn | 101.81 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2015 | -100,000.00 |
| Dec 28, 2014 | -100,000.00 |
| Sep 28, 2014 | -100,000.00 |
| Jun 29, 2014 | -400,000.00 |
| Mar 30, 2014 | -100,000.00 |
| Dec 29, 2013 | -100,000.00 |
| Sep 29, 2013 | -100,000.00 |
API Access
1 800 Flowers Com Equity Income 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=equity-income&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equity-income", "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=equity-income&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();