Leslie's (LESL) Accumulated Expenses (2019 - 2026)
Leslie's (LESL) reported Accumulated Expenses of $80.05 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 23.5% from $104.63 million a year earlier but up 13.8% from the prior quarter.
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Analysis
Leslie's (LESL) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Leslie's posted Accumulated Expenses of $82.45 million, down 22.7% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- By fiscal year, Accumulated Expenses came in at $106.71 million in FY2024 (+17.8%) and $90.6 million in FY2023.
- Five-year quarterly Accumulated Expenses spans a low of $65.49 million in fiscal Q1 2023 and a high of $107.21 million in fiscal Q3 2024.
- Year over year, Accumulated Expenses has now declined in each of the last five quarters, with an average decline of 5.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2024 (growth of 17.8%); the low point was fiscal Q3 2026 (a decline of 23.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $70.33 million (Q2 2026), $68.95 million (Q1 2026) and $82.45 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Leslie's | 187,309.50 | -130.60 Mn | 167.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 80.05 Mn |
| Apr 4, 2026 | 70.33 Mn |
| Jan 3, 2026 | 68.95 Mn |
| Oct 4, 2025 | 82.45 Mn |
| Jun 28, 2025 | 104.63 Mn |
| Mar 29, 2025 | 88.31 Mn |
| Dec 28, 2024 | 71.53 Mn |
| Sep 28, 2024 | 106.71 Mn |
| Jun 29, 2024 | 107.21 Mn |
| Mar 30, 2024 | 79.99 Mn |
| Dec 30, 2023 | 69.85 Mn |
| Sep 30, 2023 | 90.60 Mn |
| Jul 1, 2023 | 95.07 Mn |
| Apr 1, 2023 | 82.90 Mn |
| Dec 31, 2022 | 65.49 Mn |
| Oct 1, 2022 | 342,000.00 |
| Jul 2, 2022 | 4.50 Mn |
| Apr 2, 2022 | 4.29 Mn |
| Jan 1, 2022 | 4.52 Mn |
| Oct 2, 2021 | 4.90 Mn |
API Access
Leslie's Accumulated Expenses 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=accumulated-expenses&ticker=LESL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();