Leslie's (LESLQ) Accumulated Expenses (2019 - 2026)
Leslie's' Accumulated Expenses was $80.05 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), down 23.5% from $104.63 million a year earlier but up 13.8% from the prior quarter.
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Analysis
Leslie's (LESLQ) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Accumulated Expenses at Leslie's came in at $82.45 million, down 22.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 54.5% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $106.71 million in FY2024 (+17.8%), $90.6 million in FY2023, $342,000 in FY2022 (-93.0%) and $4.9 million in FY2021 (-47.8%).
- Quarterly Accumulated Expenses has moved between $342,000 (fiscal Q4 2022) and $107.21 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for five straight quarters, with an average decline of 5.3% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2022 (growth of 824.5%); the worst was fiscal Q4 2022 (a decline of 93.0%).
- Per Business Quant data, LESLQ's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $70.33 million (Q2 2026), $68.95 million (Q1 2026) and $82.45 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 | 80.05 Mn |
| Apr 4, 2026 | 70.33 Mn |
| Jan 3, 2026 | 68.95 Mn |
| Oct 4, 2025 | 82.45 Mn |
| Jun 28, 2025 | 104.63 Mn |
| Mar 29, 2025 | 88.31 Mn |
| Dec 28, 2024 | 71.53 Mn |
| Sep 28, 2024 | 106.71 Mn |
| Jun 29, 2024 | 107.21 Mn |
| Mar 30, 2024 | 79.99 Mn |
| Dec 30, 2023 | 69.85 Mn |
| Sep 30, 2023 | 90.60 Mn |
| Jul 1, 2023 | 95.07 Mn |
| Apr 1, 2023 | 82.90 Mn |
| Dec 31, 2022 | 65.49 Mn |
| Oct 1, 2022 | 342,000.00 |
| Jul 2, 2022 | 4.50 Mn |
| Apr 2, 2022 | 4.29 Mn |
| Jan 1, 2022 | 4.52 Mn |
| Oct 2, 2021 | 4.90 Mn |
API Access
Leslie's Accumulated Expenses 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=accumulated-expenses&ticker=LESLQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LESLQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();