Leslie's (LESL) Revenue (2019 - 2026)
Leslie's (LESL) recorded Revenue of $458.49 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), down 8.4% from $500.35 million a year earlier but up 148.2% from the prior quarter.
Leslie's (LESL) Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, Leslie's' Revenue came in at $1.18 billion as of Jul 4, 2026, down 5.7% year-over-year; for FY2025 (ended Oct 4, 2025), it came in at $1.24 billion, down 6.6% from FY2024.
- Annual Revenue has declined for three straight fiscal years, though with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $1.33 billion in FY2024 (-8.3%), $1.45 billion in FY2023 (-7.1%), $1.56 billion in FY2022 (+16.3%) and $1.34 billion in FY2021 (+20.7%).
- Quarterly Revenue has ranged from $147.13 million in fiscal Q1 2026 to $673.63 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Revenue rose in two of the last eight quarters, with an average decline of 6.0%.
- Peak year-over-year performance for Revenue in the last five years was growth of 27.5% in fiscal Q1 2022, against a decline of 16.0% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $184.74 million (Q2 2026), $147.13 million (Q1 2026) and $389.21 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Leslie's | 2.06 Mn | -128.73 Mn | 167.13 Mn | 458.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 458.49 Mn |
| Apr 4, 2026 | 184.74 Mn |
| Jan 3, 2026 | 147.13 Mn |
| Oct 4, 2025 | 389.21 Mn |
| Jun 28, 2025 | 500.35 Mn |
| Mar 29, 2025 | 177.13 Mn |
| Dec 28, 2024 | 175.23 Mn |
| Sep 28, 2024 | 397.86 Mn |
| Jun 29, 2024 | 569.64 Mn |
| Mar 30, 2024 | 188.66 Mn |
| Dec 30, 2023 | 173.96 Mn |
| Sep 30, 2023 | 432.37 Mn |
| Jul 1, 2023 | 610.89 Mn |
| Apr 1, 2023 | 212.84 Mn |
| Dec 31, 2022 | 195.10 Mn |
| Oct 1, 2022 | 475.59 Mn |
| Jul 2, 2022 | 673.63 Mn |
| Apr 2, 2022 | 228.07 Mn |
| Jan 1, 2022 | 184.82 Mn |
| Oct 2, 2021 | 408.93 Mn |
Leslie's Revenue 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=revenue&ticker=LESL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();