1 800 Flowers Com (FLWS) Change in Other Operating Liabilities (2010 - 2019)
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Analysis
1 800 Flowers Com (FLWS) Change in Other Operating Liabilities (2010 - 2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | -281.00 Mn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 46.00 Mn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 10.00 Mn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 326.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 123.02 Mn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | - |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | -10.00 Mn |
| 10 | 1 800 Flowers Com | 177.04 Mn | -86.11 Mn | 101.81 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 96,000.00 |
| Mar 31, 2019 | 28,000.00 |
| Dec 30, 2018 | 123,000.00 |
| Sep 30, 2018 | -53,000.00 |
| Jul 1, 2018 | 345,000.00 |
| Apr 1, 2018 | 134,000.00 |
| Dec 31, 2017 | -120,000.00 |
| Oct 1, 2017 | 96,000.00 |
| Jul 2, 2017 | 201,000.00 |
| Apr 2, 2017 | 57,000.00 |
| Jan 1, 2017 | -287,000.00 |
| Oct 2, 2016 | -37,000.00 |
| Jul 3, 2016 | -323,000.00 |
| Mar 27, 2016 | 481,000.00 |
| Dec 27, 2015 | -114,000.00 |
| Sep 27, 2015 | 45,000.00 |
| Jun 28, 2015 | 410,000.00 |
| Mar 29, 2015 | 644,000.00 |
| Dec 28, 2014 | 458,000.00 |
| Sep 28, 2014 | -423,000.00 |
API Access
1 800 Flowers Com Change in Other Operating 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=change-in-other-operating-liabilities&ticker=FLWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=FLWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();