Leslie's (LESL) EBITDA (2019 - 2026)
Leslie's (LESL) posted EBITDA of $69.03 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 10.2% from $76.89 million a year earlier.
Powered by 
Analysis
Leslie's (LESL) EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, EBITDA at Leslie's was -$163.72 million; for FY2025 (ended Oct 4, 2025), it was -$136.39 million.
- In prior fiscal years, Leslie's' EBITDA was $90.2 million in FY2024 (-33.8%), $136.32 million in FY2023 (-49.4%), $269.52 million in FY2022 (+14.4%) and $235.64 million in FY2021 (+34.4%).
- Quarterly EBITDA has run from a low of -$141.71 million in fiscal Q4 2025 to a high of $179.2 million in fiscal Q3 2022 over five years.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2022, with growth of 22.2%; the weakest was fiscal Q2 2022, with a decline of 65.8%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was -$30.13 million (Q2 2026), -$60.91 million (Q1 2026) and -$141.71 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Leslie's | 2.25 Mn | -128.54 Mn | 167.13 Mn | 69.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 69.03 Mn |
| Apr 4, 2026 | -30.13 Mn |
| Jan 3, 2026 | -60.91 Mn |
| Oct 4, 2025 | -141.71 Mn |
| Jun 28, 2025 | 76.89 Mn |
| Mar 29, 2025 | -40.11 Mn |
| Dec 28, 2024 | -31.46 Mn |
| Sep 28, 2024 | 35.08 Mn |
| Jun 29, 2024 | 105.94 Mn |
| Mar 30, 2024 | -22.69 Mn |
| Dec 30, 2023 | -28.14 Mn |
| Sep 30, 2023 | 47.12 Mn |
| Jul 1, 2023 | 123.95 Mn |
| Apr 1, 2023 | -16.27 Mn |
| Dec 31, 2022 | -18.48 Mn |
| Oct 1, 2022 | 90.96 Mn |
| Jul 2, 2022 | 179.20 Mn |
| Apr 2, 2022 | 2.59 Mn |
| Jan 1, 2022 | -3.23 Mn |
| Oct 2, 2021 | 74.46 Mn |
API Access
Leslie's EBITDA 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=ebitda&ticker=LESL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();