Leslie's (LESL) Non-Current Debt (2019 - 2026)
Leslie's' Non-Current Debt was $753.36 million in 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.
Leslie's (LESL) Non-Current Debt (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Non-Current Debt at Leslie's came in at $752.06 million, down 2.2% from FY2024.
- Non-Current Debt has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Debt was $769.07 million in FY2024 (-0.5%), $773.28 million in FY2023 (-0.8%), $779.73 million in FY2022 (-0.8%) and $786.13 million in FY2021 (-33.4%).
- The fiscal Q3 2026 figure marks the highest quarterly Non-Current Debt since fiscal Q4 2024.
- Compared with a year earlier, Non-Current Debt has increased for three straight quarters, with an average decline of 1.2% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q3 2026 (growth of 0.2%); the worst was fiscal Q4 2021 (a decline of 33.4%).
- Per Business Quant data, LESL's Non-Current Debt in the three fiscal quarters before Q3 2026 was $752.88 million (Q2 2026), $752.39 million (Q1 2026) and $752.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,830.95 Bn | 2,347.65 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 313.26 Bn | 306.50 Bn | 16.12 Bn | 43.95 Bn |
| 3 | Tjx Companies | 162.18 Bn | 139.73 Bn | 5.07 Bn | 1.87 Bn |
| 4 | Lowes Companies | 110.83 Bn | 103.80 Bn | 8.58 Bn | 35.20 Bn |
| 5 | Ross Stores | 75.22 Bn | 58.15 Bn | 2.12 Bn | 777.05 Mn |
| 6 | O Reilly Automotive | 74.22 Bn | 73.31 Bn | 2.52 Bn | 7.01 Bn |
| 7 | Target | 70.35 Bn | 64.93 Bn | 8.94 Bn | 14.22 Bn |
| 8 | Autozone | 51.82 Bn | 50.72 Bn | 2.52 Bn | 9.02 Bn |
| 9 | Carvana | 43.19 Bn | 33.68 Bn | 1.38 Bn | 4.85 Bn |
| 10 | Leslie's | 187,309.50 | -130.60 Mn | 167.13 Mn | 753.36 Mn |
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 | 769.07 Mn |
| Jun 29, 2024 | 768.60 Mn |
| Mar 30, 2024 | 770.16 Mn |
| Dec 30, 2023 | 771.72 Mn |
| Sep 30, 2023 | 773.28 Mn |
| Jul 1, 2023 | 774.88 Mn |
| Apr 1, 2023 | 776.54 Mn |
| Dec 31, 2022 | 778.13 Mn |
| Oct 1, 2022 | 779.73 Mn |
| Jul 2, 2022 | 781.32 Mn |
| Apr 2, 2022 | 782.92 Mn |
| Jan 1, 2022 | 784.53 Mn |
| Oct 2, 2021 | 786.13 Mn |
Leslie's Non-Current 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=non-current-debt&ticker=LESL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();