Leslie's (LESLQ) Receivables - Net (2019 - 2026)
Leslie's (LESLQ) posted Receivables - Net of $32.17 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 7.5% from $34.79 million a year earlier but up 41.2% from the prior quarter.
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Analysis
Leslie's (LESLQ) Receivables - Net (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Leslie's' Receivables - Net came in at $23.22 million, down 48.9% from FY2024.
- Annual Receivables - Net shows a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- In prior fiscal years, Leslie's' Receivables - Net was $45.47 million in FY2024 (+54.7%), $29.4 million in FY2023 (-35.1%), $45.3 million in FY2022 (+16.6%) and $38.86 million in FY2021 (+23.4%).
- Quarterly Receivables - Net has run from a low of $15.86 million in fiscal Q1 2026 to a high of $49.26 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Receivables - Net has declined in each of the last six quarters, with an average decline of 8.9% over the last eight quarters.
- The strongest year-over-year quarter for Receivables - Net in the past five years was fiscal Q4 2024, with growth of 54.7%; the weakest was fiscal Q1 2024, with a decline of 51.5%.
- According to Business Quant data, Receivables - Net for the three prior fiscal quarters was $22.78 million (Q2 2026), $15.86 million (Q1 2026) and $23.22 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn |
| 10 | Leslie's | 655,410.00 | -130.14 Mn | 167.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 32.17 Mn |
| Apr 4, 2026 | 22.78 Mn |
| Jan 3, 2026 | 15.86 Mn |
| Oct 4, 2025 | 23.22 Mn |
| Jun 28, 2025 | 34.79 Mn |
| Mar 29, 2025 | 32.04 Mn |
| Dec 28, 2024 | 29.80 Mn |
| Sep 28, 2024 | 45.47 Mn |
| Jun 29, 2024 | 45.82 Mn |
| Mar 30, 2024 | 32.69 Mn |
| Dec 30, 2023 | 22.49 Mn |
| Sep 30, 2023 | 29.40 Mn |
| Jul 1, 2023 | 49.26 Mn |
| Apr 1, 2023 | 37.99 Mn |
| Dec 31, 2022 | 46.38 Mn |
| Oct 1, 2022 | 45.30 Mn |
| Jul 2, 2022 | 47.27 Mn |
| Apr 2, 2022 | 33.62 Mn |
| Jan 1, 2022 | 39.35 Mn |
| Oct 2, 2021 | 38.86 Mn |
API Access
Leslie's Receivables - Net 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=receivables-net&ticker=LESLQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=LESLQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();