Leslie's (LESL) Interest Expenses (2019 - 2026)
Leslie's (LESL) posted Interest Expenses of $14.15 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 10.3% from $15.76 million a year earlier and down 1.5% from the prior quarter.
Leslie's (LESL) Interest Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Interest Expenses at Leslie's was $57.54 million, down 10.7% year-over-year; for FY2025 (ended Oct 4, 2025), it was $62.92 million, down 10.6% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In prior fiscal years, Leslie's' Interest Expenses was $70.4 million in FY2024 (+7.6%), $65.44 million in FY2023 (+116.4%), $30.24 million in FY2022 (-12.1%) and $34.41 million in FY2021 (-59.1%).
- Quarterly Interest Expenses has run from a low of $6.85 million in fiscal Q3 2022 to a high of $18.16 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last eight quarters, with an average decline of 9.6% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q3 2023, with growth of 158.1%; the weakest was fiscal Q4 2021, with a decline of 62.2%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $14.36 million (Q2 2026), $13.54 million (Q1 2026) and $15.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Leslie's | 1.50 Mn | -129.29 Mn | 167.13 Mn | 14.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 14.15 Mn |
| Apr 4, 2026 | 14.36 Mn |
| Jan 3, 2026 | 13.54 Mn |
| Oct 4, 2025 | 15.49 Mn |
| Jun 28, 2025 | 15.76 Mn |
| Mar 29, 2025 | 15.90 Mn |
| Dec 28, 2024 | 15.76 Mn |
| Sep 28, 2024 | 17.02 Mn |
| Jun 29, 2024 | 18.16 Mn |
| Mar 30, 2024 | 18.15 Mn |
| Dec 30, 2023 | 17.07 Mn |
| Sep 30, 2023 | 17.16 Mn |
| Jul 1, 2023 | 17.68 Mn |
| Apr 1, 2023 | 17.25 Mn |
| Dec 31, 2022 | 13.36 Mn |
| Oct 1, 2022 | 9.58 Mn |
| Jul 2, 2022 | 6.85 Mn |
| Apr 2, 2022 | 6.95 Mn |
| Jan 1, 2022 | 6.86 Mn |
| Oct 2, 2021 | 7.37 Mn |
Leslie's Interest 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=interest-expenses&ticker=LESL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();