Leslie's (LESLQ) Cash & Equivalents (2019 - 2026)
Leslie's' Cash & Equivalents came in at $45.91 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), up 7.6% from $42.68 million a year earlier and up 171.4% from the prior quarter.
Leslie's (LESLQ) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Leslie's' Cash & Equivalents was $64.34 million, down 40.7% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -16.3% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $108.51 million in FY2024 (+95.8%), $55.42 million in FY2023 (-50.6%), $112.29 million in FY2022 (-67.3%) and $343.5 million in FY2021 (+118.7%).
- The five-year range for quarterly Cash & Equivalents is $2.69 million (fiscal Q1 2023) to $343.5 million (fiscal Q4 2021).
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 11.5%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2024 (growth of 283.1%), and the weakest in fiscal Q1 2023 (a decline of 95.0%).
- Business Quant data shows LESLQ's Cash & Equivalents at $16.92 million (Q2 2026), $3.62 million (Q1 2026) and $64.34 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 55.78 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 3.05 Bn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 326.12 Mn |
| 10 | Leslie's | 655,410.00 | -130.14 Mn | 167.13 Mn | 45.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 45.91 Mn |
| Apr 4, 2026 | 16.92 Mn |
| Jan 3, 2026 | 3.62 Mn |
| Oct 4, 2025 | 64.34 Mn |
| Jun 28, 2025 | 42.68 Mn |
| Mar 29, 2025 | 17.25 Mn |
| Dec 28, 2024 | 11.62 Mn |
| Sep 28, 2024 | 108.51 Mn |
| Jun 29, 2024 | 74.44 Mn |
| Mar 30, 2024 | 8.44 Mn |
| Dec 30, 2023 | 8.39 Mn |
| Sep 30, 2023 | 55.42 Mn |
| Jul 1, 2023 | 19.43 Mn |
| Apr 1, 2023 | 8.70 Mn |
| Dec 31, 2022 | 2.69 Mn |
| Oct 1, 2022 | 112.29 Mn |
| Jul 2, 2022 | 193.13 Mn |
| Apr 2, 2022 | 51.97 Mn |
| Jan 1, 2022 | 53.34 Mn |
| Oct 2, 2021 | 343.50 Mn |
Leslie's Cash & Equivalents 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=cash-and-equivalents&ticker=LESLQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LESLQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();