Dollar Tree (DLTR) Gains from Sales and Divestitures (2014 - 2019)
Dollar Tree's Gains from Sales and Divestitures was -$300,000 in fiscal Q1 2020 (quarter ended May 4, 2019), compared with $200,000 a year earlier.
Dollar Tree (DLTR) Gains from Sales and Divestitures (2014 - 2019) Analysis & Trends
On a trailing twelve-month basis, Dollar Tree's Gains from Sales and Divestitures was -$3.6 million through May 4, 2019.
- Quarterly Gains from Sales and Divestitures has moved between -$3.7 million (fiscal Q3 2019) and $2.2 million (fiscal Q3 2018) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn |
Historic Data
| Date | Value |
|---|---|
| May 4, 2019 | -300,000.00 |
| Nov 3, 2018 | -3.70 Mn |
| Aug 4, 2018 | 200,000.00 |
| May 5, 2018 | 200,000.00 |
| Oct 28, 2017 | 2.20 Mn |
| Jul 29, 2017 | 100,000.00 |
| Apr 29, 2017 | -2.20 Mn |
| Oct 29, 2016 | 300,000.00 |
| Jul 30, 2016 | -400,000.00 |
| Apr 30, 2016 | -1.10 Mn |
| Oct 31, 2015 | 100,000.00 |
| Aug 1, 2015 | 300,000.00 |
| Nov 1, 2014 | -1.40 Mn |
Dollar Tree Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=DLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "DLTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();