Dillard'S (DDS) Divestments (2017 - 2021)
Dillard'S's Divestments came in at $1.48 million for FY2022 (year ended Jan 29, 2022), up 586.0% from $215,000 in FY2021.
Analysis
Dillard'S (DDS) Divestments (2017 - 2021) Analysis & Trends
Going back to FY2015, Dillard'S's Divestments data covers 7 fiscal years.
- Divestments carries a five-year compound annual growth rate of -10.0% (FY2017 to FY2022).
- The five-year range for annual Divestments is $215,000 (FY2021) to $3.84 million (FY2019).
- Per Business Quant, earlier fiscal years put Divestments at $215,000 in FY2021 (-90.6%), $2.3 million in FY2020 (-40.2%), $3.84 million in FY2019 (+10.8%) and $3.46 million in FY2018 (+38.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | - |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | - |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | - |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 30, 2021 | 1.48 Mn |
| May 2, 2020 | 215,000.00 |
| Feb 1, 2020 | 945,000.00 |
| Nov 2, 2019 | 845,000.00 |
| Aug 3, 2019 | 290,000.00 |
| May 4, 2019 | 215,000.00 |
| Feb 2, 2019 | 1.15 Mn |
| Nov 3, 2018 | 545,000.00 |
| Aug 4, 2018 | 1.38 Mn |
| May 5, 2018 | 765,000.00 |
| Feb 3, 2018 | 1.40 Mn |
| Oct 28, 2017 | 1.21 Mn |
| Jul 29, 2017 | 515,000.00 |
| Apr 29, 2017 | 340,000.00 |
| Jan 28, 2017 | 2.50 Mn |
API Access
Dillard'S Divestments 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=divestments&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "ticker": "DDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=divestments&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();