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.
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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 | 2,833.75 Bn | 2,350.45 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 313.97 Bn | 307.21 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 161.88 Bn | 139.43 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 111.39 Bn | 104.36 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.50 Bn | 58.42 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.40 Bn | 73.49 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.52 Bn | 65.11 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 52.12 Bn | 51.02 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.25 Bn | 33.74 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Leslie's | 187,309.50 | -130.60 Mn | 167.13 Mn | 69.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 69.60 Mn |
| Apr 4, 2026 | -29.56 Mn |
| Jan 3, 2026 | -60.36 Mn |
| Oct 4, 2025 | -141.13 Mn |
| Jun 28, 2025 | 77.43 Mn |
| Mar 29, 2025 | -39.57 Mn |
| Dec 28, 2024 | -30.92 Mn |
| Sep 28, 2024 | 35.62 Mn |
| Jun 29, 2024 | 106.47 Mn |
| Mar 30, 2024 | -22.13 Mn |
| Dec 30, 2023 | -27.58 Mn |
| Sep 30, 2023 | 47.68 Mn |
| Jul 1, 2023 | 124.49 Mn |
| Apr 1, 2023 | -15.76 Mn |
| Dec 31, 2022 | -17.98 Mn |
| Oct 1, 2022 | 91.46 Mn |
| Jul 2, 2022 | 179.70 Mn |
| Apr 2, 2022 | 3.08 Mn |
| Jan 1, 2022 | -2.73 Mn |
| Oct 2, 2021 | 75.40 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();