Leslie's (LESL) Cost of Revenue (2019 - 2026)
Leslie's (LESL) posted Cost of Revenue of $291.37 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 3.7% from $302.46 million a year earlier but up 121.7% from the prior quarter.
Leslie's (LESL) Cost of Revenue (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Cost of Revenue at Leslie's was $781.94 million, down 4.4% year-over-year; for FY2025 (ended Oct 4, 2025), it came in at $802.27 million, down 6.0% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In prior fiscal years, Leslie's' Cost of Revenue was $853.33 million in FY2024 (-5.5%), $902.99 million in FY2023 (+1.6%), $888.38 million in FY2022 (+18.8%) and $747.76 million in FY2021 (+14.8%).
- Quarterly Cost of Revenue has run from a low of $117.51 million in fiscal Q1 2022 to a high of $370.03 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last six quarters, with an average decline of 4.0% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q1 2022, with growth of 26.0%; the weakest was fiscal Q3 2025, with a decline of 11.3%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $131.4 million (Q2 2026), $120.06 million (Q1 2026) and $239.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Leslie's | 1.40 Mn | -129.39 Mn | 167.13 Mn | 291.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 291.37 Mn |
| Apr 4, 2026 | 131.40 Mn |
| Jan 3, 2026 | 120.06 Mn |
| Oct 4, 2025 | 239.11 Mn |
| Jun 28, 2025 | 302.46 Mn |
| Mar 29, 2025 | 133.19 Mn |
| Dec 28, 2024 | 127.51 Mn |
| Sep 28, 2024 | 254.65 Mn |
| Jun 29, 2024 | 340.80 Mn |
| Mar 30, 2024 | 134.34 Mn |
| Dec 30, 2023 | 123.55 Mn |
| Sep 30, 2023 | 272.21 Mn |
| Jul 1, 2023 | 359.30 Mn |
| Apr 1, 2023 | 141.67 Mn |
| Dec 31, 2022 | 129.81 Mn |
| Oct 1, 2022 | 258.40 Mn |
| Jul 2, 2022 | 370.03 Mn |
| Apr 2, 2022 | 142.44 Mn |
| Jan 1, 2022 | 117.51 Mn |
| Oct 2, 2021 | 220.86 Mn |
Leslie's Cost of 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=cost-of-revenue&ticker=LESL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();