Leslie's (LESL) Total Current Liabilities (2019 - 2026)
Leslie's' Total Current Liabilities came in at $260.22 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 0.7% from $261.97 million a year earlier but up 11.0% from the prior quarter.
Leslie's (LESL) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Leslie's' Total Current Liabilities was $209.06 million, down 15.3% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $246.92 million in FY2024 (+9.3%), $225.83 million in FY2023 (-35.1%), $347.96 million in FY2022 (+12.3%) and $309.71 million in FY2021 (+20.0%).
- The five-year range for quarterly Total Current Liabilities is $188.04 million (fiscal Q1 2026) to $432.9 million (fiscal Q3 2022).
- Year-over-year, Total Current Liabilities has declined for five consecutive quarters, with an average decline of 4.2% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2022 (growth of 32.7%), and the weakest in fiscal Q4 2023 (a decline of 35.1%).
- Business Quant data shows LESL's Total Current Liabilities at $234.39 million (Q2 2026), $188.04 million (Q1 2026) and $209.06 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,805.32 Bn | 2,322.02 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 311.85 Bn | 305.09 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 162.03 Bn | 139.57 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 109.68 Bn | 102.65 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 74.82 Bn | 57.74 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 73.59 Bn | 72.68 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 69.88 Bn | 64.47 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 51.63 Bn | 50.53 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 43.16 Bn | 33.65 Bn | 1.38 Bn | 2.04 Bn |
| 10 | Leslie's | 187,309.50 | -130.60 Mn | 167.13 Mn | 260.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 260.22 Mn |
| Apr 4, 2026 | 234.39 Mn |
| Jan 3, 2026 | 188.04 Mn |
| Oct 4, 2025 | 209.06 Mn |
| Jun 28, 2025 | 261.97 Mn |
| Mar 29, 2025 | 267.61 Mn |
| Dec 28, 2024 | 193.98 Mn |
| Sep 28, 2024 | 246.92 Mn |
| Jun 29, 2024 | 285.88 Mn |
| Mar 30, 2024 | 262.10 Mn |
| Dec 30, 2023 | 204.57 Mn |
| Sep 30, 2023 | 225.83 Mn |
| Jul 1, 2023 | 315.30 Mn |
| Apr 1, 2023 | 292.39 Mn |
| Dec 31, 2022 | 254.59 Mn |
| Oct 1, 2022 | 347.96 Mn |
| Jul 2, 2022 | 432.90 Mn |
| Apr 2, 2022 | 338.19 Mn |
| Jan 1, 2022 | 254.21 Mn |
| Oct 2, 2021 | 309.71 Mn |
Leslie's Total Current Liabilities 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=total-current-liabilities&ticker=LESL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();