Target (TGT) Liabilities from Discontinued Operations (2014 - 2017)
Target's Liabilities from Discontinued Operations was $11 million in fiscal Q3 2018 (quarter ended Oct 28, 2017), down 42.1% from $19 million a year earlier and down 38.9% from the prior quarter.
Target (TGT) Liabilities from Discontinued Operations (2014 - 2017) 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 2018 figure marks the lowest quarterly Liabilities from Discontinued Operations in data going back to fiscal Q4 2014.
- Compared with a year earlier, Liabilities from Discontinued Operations was higher in 1 of the last eight quarters, with an average decline of 45.5%.
- The best year-over-year quarter for Liabilities from Discontinued Operations over five years was fiscal Q4 2017 (growth of 5.6%); the worst was fiscal Q3 2016 (a decline of 97.2%).
- Per Business Quant data, TGT's Liabilities from Discontinued Operations in the three fiscal quarters before Q3 2018 was $18 million (Q2 2018), $18 million (Q1 2018) and $19 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jan 30, 2016 | 18.00 Mn |
| Oct 31, 2015 | 36.00 Mn |
| Aug 1, 2015 | 276.00 Mn |
| May 2, 2015 | 207.00 Mn |
| Jan 31, 2015 | 193.00 Mn |
| Nov 1, 2014 | 1.29 Bn |
| Aug 2, 2014 | 1.33 Bn |
| May 3, 2014 | 1.32 Bn |
| Feb 1, 2014 | 1.30 Bn |
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_KEY
import 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();