Target (TGT) Liabilities from Discontinued Operations (2014 - 2018)
Target's Liabilities from Discontinued Operations was $10,000 in fiscal Q3 2019 (quarter ended Nov 3, 2018), down 99.9% from $11 million a year earlier.
Powered by 
Analysis
Target (TGT) Liabilities from Discontinued Operations (2014 - 2018) Analysis & Trends
At the end of FY2017 (ended Jan 28, 2017), Liabilities from Discontinued Operations at Target came in at $19 million, up 5.6% from FY2016.
- Liabilities from Discontinued Operations shows a three-year compound annual growth rate of -75.5% (FY2014 to FY2017).
- In earlier fiscal years, Liabilities from Discontinued Operations was $18 million in FY2016 (-90.7%), $193 million in FY2015 (-85.1%) and $1.3 billion in FY2014.
- The fiscal Q3 2019 figure marks the lowest quarterly Liabilities from Discontinued Operations in data going back to fiscal Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn |
| 10 | JD.com | 33.86 Bn | -77.03 Bn | 8.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 3, 2018 | 10,000.00 |
| Oct 28, 2017 | 11.00 Mn |
| Jul 29, 2017 | 18.00 Mn |
| Apr 29, 2017 | 18.00 Mn |
| Jan 28, 2017 | 19.00 Mn |
| Oct 29, 2016 | 19.00 Mn |
| Jul 30, 2016 | 19.00 Mn |
| Apr 30, 2016 | 18.00 Mn |
| Oct 31, 2015 | 36.00 Mn |
| Aug 1, 2015 | 276.00 Mn |
| May 2, 2015 | 207.00 Mn |
| Nov 1, 2014 | 1.29 Bn |
| Aug 2, 2014 | 1.33 Bn |
| May 3, 2014 | 1.32 Bn |
API Access
Target Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=TGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "ticker": "TGT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=liabilities-from-discontinued-operations&ticker=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();