Leslie's (LESL) Change in Inventory (2019 - 2026)
Leslie's (LESL) posted Change in Inventory of -$29.08 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), compared with -$61.91 million a year earlier.
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Analysis
Leslie's (LESL) Change in Inventory (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Change in Inventory at Leslie's was -$34.4 million; for FY2025 (ended Oct 4, 2025), it came in at -$26.3 million.
- In prior fiscal years, Leslie's' Change in Inventory was -$85.88 million in FY2024, -$54.33 million in FY2023, $143.15 million in FY2022 (+199.6%) and $47.79 million in FY2021.
- Quarterly Change in Inventory has run from a low of -$124.72 million in fiscal Q4 2023 to a high of $88.64 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Change in Inventory increased in two of the last four quarters, with growth averaging 2.8%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q1 2022, with growth of 71.0%; the weakest was fiscal Q1 2026, with a decline of 77.2%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $51.49 million (Q2 2026), $8.39 million (Q1 2026) and -$65.21 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,824.28 Bn | 2,340.98 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 313.90 Bn | 307.14 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 162.59 Bn | 140.13 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 111.11 Bn | 104.07 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 75.56 Bn | 58.48 Bn | 2.12 Bn | 110.41 Mn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.26 Bn | 2.52 Bn | 160.24 Mn |
| 7 | Target | 70.24 Bn | 64.83 Bn | 8.94 Bn | 932.00 Mn |
| 8 | Autozone | 51.96 Bn | 50.86 Bn | 2.52 Bn | 104.14 Mn |
| 9 | Carvana | 43.34 Bn | 33.83 Bn | 1.38 Bn | 586.00 Mn |
| 10 | Leslie's | 187,309.50 | -130.60 Mn | 167.13 Mn | -29.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | -29.08 Mn |
| Apr 4, 2026 | 51.49 Mn |
| Jan 3, 2026 | 8.39 Mn |
| Oct 4, 2025 | -65.21 Mn |
| Jun 28, 2025 | -61.91 Mn |
| Mar 29, 2025 | 64.01 Mn |
| Dec 28, 2024 | 36.80 Mn |
| Sep 28, 2024 | -76.25 Mn |
| Jun 29, 2024 | -76.88 Mn |
| Mar 30, 2024 | 45.06 Mn |
| Dec 30, 2023 | 22.19 Mn |
| Sep 30, 2023 | -124.72 Mn |
| Jul 1, 2023 | -56.97 Mn |
| Apr 1, 2023 | 62.60 Mn |
| Dec 31, 2022 | 64.77 Mn |
| Oct 1, 2022 | -3.05 Mn |
| Jul 2, 2022 | 13.84 Mn |
| Apr 2, 2022 | 88.64 Mn |
| Jan 1, 2022 | 43.72 Mn |
| Oct 2, 2021 | -26.61 Mn |
API Access
Leslie's Change in Inventory 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=change-in-inventory&ticker=LESL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=LESL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();