Leslie's (LESL) Total Liabilities (2019 - 2026)
Leslie's' Total Liabilities was $1.21 billion in fiscal Q3 2026 (quarter ended Jul 4, 2026), down 1.7% from $1.24 billion a year earlier and down 3.3% from the prior quarter.
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Analysis
Leslie's (LESL) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Total Liabilities at Leslie's came in at $1.15 billion, down 6.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $1.23 billion in FY2024 (+2.6%), $1.2 billion in FY2023 (-8.5%), $1.31 billion in FY2022 (+3.8%) and $1.26 billion in FY2021 (-19.9%).
- Quarterly Total Liabilities has moved between $1.14 billion (fiscal Q1 2026) and $1.42 billion (fiscal Q2 2023) over five years.
- Compared with a year earlier, Total Liabilities has declined for seven straight quarters, with an average decline of 2.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2023 (growth of 9.2%); the worst was fiscal Q4 2021 (a decline of 19.9%).
- Per Business Quant data, LESL's Total Liabilities in the three fiscal quarters before Q3 2026 was $1.26 billion (Q2 2026), $1.14 billion (Q1 2026) and $1.15 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,836.88 Bn | 2,353.57 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 313.62 Bn | 306.86 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.22 Bn | 139.77 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 111.04 Bn | 104.00 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.26 Bn | 58.19 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 74.19 Bn | 73.27 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 70.38 Bn | 64.97 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.85 Bn | 50.75 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.20 Bn | 33.69 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Leslie's | 187,309.50 | -130.60 Mn | 167.13 Mn | 1.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.21 Bn |
| Apr 4, 2026 | 1.26 Bn |
| Jan 3, 2026 | 1.14 Bn |
| Oct 4, 2025 | 1.15 Bn |
| Jun 28, 2025 | 1.24 Bn |
| Mar 29, 2025 | 1.31 Bn |
| Dec 28, 2024 | 1.19 Bn |
| Sep 28, 2024 | 1.23 Bn |
| Jun 29, 2024 | 1.27 Bn |
| Mar 30, 2024 | 1.33 Bn |
| Dec 30, 2023 | 1.20 Bn |
| Sep 30, 2023 | 1.20 Bn |
| Jul 1, 2023 | 1.32 Bn |
| Apr 1, 2023 | 1.42 Bn |
| Dec 31, 2022 | 1.30 Bn |
| Oct 1, 2022 | 1.31 Bn |
| Jul 2, 2022 | 1.38 Bn |
| Apr 2, 2022 | 1.32 Bn |
| Jan 1, 2022 | 1.19 Bn |
| Oct 2, 2021 | 1.26 Bn |
API Access
Leslie's Total 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-liabilities&ticker=LESL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();