Leslie's (LESL) Total Debt (2019 - 2026)
Leslie's (LESL) reported Total Debt of $753.36 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), up 0.2% from $751.55 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Leslie's (LESL) Total Debt (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Leslie's posted Total Debt of $752.06 million, down 3.2% from FY2024.
- Total Debt has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- By fiscal year, Total Debt came in at $777.17 million in FY2024 (-0.5%), $781.38 million in FY2023 (-0.8%), $787.83 million in FY2022 (-0.8%) and $794.23 million in FY2021 (-33.1%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Debt since fiscal Q4 2024.
- Year over year, Total Debt has now increased in each of the last three quarters, with an average decline of 1.7% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was fiscal Q3 2026 (growth of 0.2%); the low point was fiscal Q4 2021 (a decline of 33.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $752.88 million (Q2 2026), $752.39 million (Q1 2026) and $752.06 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 52.90 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.87 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 37.56 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 15.36 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 5.24 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 9.02 Bn |
| 10 | Leslie's | 1.50 Mn | -129.29 Mn | 167.13 Mn | 753.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 753.36 Mn |
| Apr 4, 2026 | 752.88 Mn |
| Jan 3, 2026 | 752.39 Mn |
| Oct 4, 2025 | 752.06 Mn |
| Jun 28, 2025 | 751.55 Mn |
| Mar 29, 2025 | 751.08 Mn |
| Dec 28, 2024 | 750.61 Mn |
| Sep 28, 2024 | 777.17 Mn |
| Jun 29, 2024 | 776.70 Mn |
| Mar 30, 2024 | 778.26 Mn |
| Dec 30, 2023 | 779.82 Mn |
| Sep 30, 2023 | 781.38 Mn |
| Jul 1, 2023 | 782.98 Mn |
| Apr 1, 2023 | 784.64 Mn |
| Dec 31, 2022 | 786.23 Mn |
| Oct 1, 2022 | 787.83 Mn |
| Jul 2, 2022 | 789.42 Mn |
| Apr 2, 2022 | 791.02 Mn |
| Jan 1, 2022 | 792.63 Mn |
| Oct 2, 2021 | 794.23 Mn |
API Access
Leslie's Total Debt 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-debt&ticker=LESL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();