Leslie's (LESL) Return on Sales [ROS] (2019 - 2026)
Leslie's (LESL) recorded Return on Sales [ROS] of 13.41% in fiscal Q3 2026 (quarter ended Jul 4, 2026), down 0.25 percentage points from 13.65% a year earlier but up 33.80 percentage points from the prior quarter.
Leslie's (LESL) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, Leslie's' Return on Sales [ROS] came in at -16.54% as of Jul 4, 2026, down 17.07 percentage points year-over-year; for FY2025 (ended Oct 4, 2025), it was -13.68%, down 17.97 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four straight fiscal years, with a five-year change of -26.84 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 4.29% in FY2024 (-2.75 pp), 7.04% in FY2023 (-8.24 pp), 15.28% in FY2022 (-0.29 pp) and 15.57% in FY2021 (+2.41 pp).
- Quarterly Return on Sales [ROS] has ranged from -46.73% in fiscal Q1 2026 to 25.55% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in 1 of the last eight quarters, with an average year-over-year change of -10.15 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 11.03 percentage points in fiscal Q1 2022, against a drop of 45.20 percentage points in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -20.40% (Q2 2026), -46.73% (Q1 2026) and -38.56% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Leslie's | 1.40 Mn | -129.39 Mn | 167.13 Mn | 13.41% |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 13.41% |
| Apr 4, 2026 | -20.40% |
| Jan 3, 2026 | -46.73% |
| Oct 4, 2025 | -38.56% |
| Jun 28, 2025 | 13.65% |
| Mar 29, 2025 | -27.31% |
| Dec 28, 2024 | -22.66% |
| Sep 28, 2024 | 6.64% |
| Jun 29, 2024 | 17.15% |
| Mar 30, 2024 | -16.18% |
| Dec 30, 2023 | -20.96% |
| Sep 30, 2023 | 8.91% |
| Jul 1, 2023 | 18.96% |
| Apr 1, 2023 | -11.83% |
| Dec 31, 2022 | -13.83% |
| Oct 1, 2022 | 17.47% |
| Jul 2, 2022 | 25.55% |
| Apr 2, 2022 | -1.75% |
| Jan 1, 2022 | -6.75% |
| Oct 2, 2021 | 16.41% |
Leslie's Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LESL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();