Leslie's (LESL) Net of Acquisitions & Divestments (2019 - 2023)
Leslie's (LESL) posted Net of Acquisitions & Divestments of -$15.55 million for FY2023 (year ended Sep 30, 2023), compared with -$107.66 million in FY2022.
Analysis
Leslie's (LESL) Net of Acquisitions & Divestments (2019 - 2023) Analysis & Trends
Since FY2019, Leslie's has reported Net of Acquisitions & Divestments for 5 fiscal years.
- Annual Net of Acquisitions & Divestments has run from a low of -$107.66 million in FY2022 to a high of -$6.19 million in FY2020 over five years.
- Business Quant data shows LESL's Net of Acquisitions & Divestments at -$107.66 million in FY2022, -$8.87 million in FY2021, -$6.19 million in FY2020 and -$9.62 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | -24.36 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | -1.05 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | - |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | - |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | -29.00 Mn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | - |
| 10 | Leslie's | 749,237.98 | -130.04 Mn | 167.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2023 | -5.61 Mn |
| Apr 1, 2023 | -1.40 Mn |
| Dec 31, 2022 | -8.54 Mn |
| Oct 1, 2022 | -66.99 Mn |
| Jul 2, 2022 | -10.68 Mn |
| Apr 2, 2022 | -24.84 Mn |
| Jan 1, 2022 | -5.15 Mn |
| Oct 2, 2021 | -2.06 Mn |
| Jul 3, 2021 | -766,000.00 |
| Dec 28, 2019 | -6.19 Mn |
API Access
Leslie's Net of Acquisitions & 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=net-of-acquisitions-and-divestments&ticker=LESL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "LESL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();