Leslie's (LESL) Operating Expenses (2019 - 2026)
Leslie's (LESL) posted Operating Expenses of $106.37 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 17.9% from $129.57 million a year earlier but up 15.4% from the prior quarter.
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Analysis
Leslie's (LESL) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Operating Expenses at Leslie's was $400.61 million, down 6.0% year-over-year; for FY2025 (ended Oct 4, 2025), it was $425.68 million, up 1.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior fiscal years, Leslie's' Operating Expenses was $419.67 million in FY2024 (-5.9%), $446.04 million in FY2023 (+2.5%), $434.99 million in FY2022 (+12.7%) and $386.08 million in FY2021 (+22.8%).
- Quarterly Operating Expenses has run from a low of $79.79 million in fiscal Q1 2022 to a high of $135.79 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with an average decline of 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 27.3%; the weakest was fiscal Q3 2026, with a decline of 17.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $92.21 million (Q2 2026), $85.67 million (Q1 2026) and $116.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Leslie's | 2.25 Mn | -128.54 Mn | 167.13 Mn | 106.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 106.37 Mn |
| Apr 4, 2026 | 92.21 Mn |
| Jan 3, 2026 | 85.67 Mn |
| Oct 4, 2025 | 116.36 Mn |
| Jun 28, 2025 | 129.57 Mn |
| Mar 29, 2025 | 92.33 Mn |
| Dec 28, 2024 | 87.42 Mn |
| Sep 28, 2024 | 116.79 Mn |
| Jun 29, 2024 | 131.15 Mn |
| Mar 30, 2024 | 84.86 Mn |
| Dec 30, 2023 | 86.88 Mn |
| Sep 30, 2023 | 121.62 Mn |
| Jul 1, 2023 | 135.79 Mn |
| Apr 1, 2023 | 96.36 Mn |
| Dec 31, 2022 | 92.28 Mn |
| Oct 1, 2022 | 134.12 Mn |
| Jul 2, 2022 | 131.47 Mn |
| Apr 2, 2022 | 89.62 Mn |
| Jan 1, 2022 | 79.79 Mn |
| Oct 2, 2021 | 120.95 Mn |
API Access
Leslie's Operating 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=operating-expenses&ticker=LESL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();