Leslie's (LESLQ) EBITDA (2019 - 2026)
Leslie's' EBITDA came in at $69.6 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 10.1% from $77.43 million a year earlier.
Leslie's (LESLQ) EBITDA (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Leslie's reported EBITDA of -$161.45 million; for FY2025 (ended Oct 4, 2025), it was -$134.19 million.
- Going back by fiscal year, EBITDA was $92.39 million in FY2024 (-33.3%), $138.42 million in FY2023 (-49.0%), $271.51 million in FY2022 (+14.0%) and $238.12 million in FY2021 (+33.2%).
- The five-year range for quarterly EBITDA is -$141.13 million (fiscal Q4 2025) to $179.7 million (fiscal Q3 2022).
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2022 (growth of 21.3%), and the weakest in fiscal Q2 2022 (a decline of 61.8%).
- Business Quant data shows LESLQ's EBITDA at -$29.56 million (Q2 2026), -$60.36 million (Q1 2026) and -$141.13 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 49.03 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 4.20 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 1.13 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 1.24 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 784.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 1.54 Bn |
| 10 | Leslie's | 655,410.00 | -130.14 Mn | 167.13 Mn | 69.60 Mn |
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 |
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=LESLQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "LESLQ", "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=LESLQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();