Leslie's (LESL) Inventory (2019 - 2026)
Leslie's' Inventory came in at $233.43 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 14.6% from $273.19 million a year earlier and down 11.0% from the prior quarter.
Leslie's (LESL) Inventory (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Leslie's' Inventory was $207.98 million, down 11.2% from FY2024.
- Inventory has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- Going back by fiscal year, Inventory was $234.28 million in FY2024 (-24.9%), $311.84 million in FY2023 (-13.8%), $361.69 million in FY2022 (+81.9%) and $198.79 million in FY2021 (+33.4%).
- The five-year range for quarterly Inventory is $198.79 million (fiscal Q4 2021) to $492.33 million (fiscal Q2 2023).
- Year-over-year, Inventory has declined for 12 consecutive quarters, with an average decline of 16.9% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q4 2022 (growth of 81.9%), and the weakest in fiscal Q3 2024 (a decline of 30.8%).
- Business Quant data shows LESL's Inventory at $262.36 million (Q2 2026), $210.01 million (Q1 2026) and $207.98 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Leslie's | 2.25 Mn | -128.54 Mn | 167.13 Mn | 233.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 233.43 Mn |
| Apr 4, 2026 | 262.36 Mn |
| Jan 3, 2026 | 210.01 Mn |
| Oct 4, 2025 | 207.98 Mn |
| Jun 28, 2025 | 273.19 Mn |
| Mar 29, 2025 | 335.10 Mn |
| Dec 28, 2024 | 262.36 Mn |
| Sep 28, 2024 | 234.28 Mn |
| Jun 29, 2024 | 302.21 Mn |
| Mar 30, 2024 | 379.09 Mn |
| Dec 30, 2023 | 334.03 Mn |
| Sep 30, 2023 | 311.84 Mn |
| Jul 1, 2023 | 436.56 Mn |
| Apr 1, 2023 | 492.33 Mn |
| Dec 31, 2022 | 429.52 Mn |
| Oct 1, 2022 | 361.69 Mn |
| Jul 2, 2022 | 361.39 Mn |
| Apr 2, 2022 | 345.05 Mn |
| Jan 1, 2022 | 244.63 Mn |
| Oct 2, 2021 | 198.79 Mn |
Leslie's Inventory 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=inventory&ticker=LESL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();