Leslie's (LESLQ) Change in Inventory (2019 - 2026)
Leslie's (LESLQ) reported 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 (LESLQ) Change in Inventory (2019 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Leslie's' Change in Inventory came in at -$34.4 million; for FY2025 (ended Oct 4, 2025), it came in at -$26.3 million.
- By fiscal year, Change in Inventory came in at -$85.88 million in FY2024, -$54.33 million in FY2023, $143.15 million in FY2022 (+199.6%) and $47.79 million in FY2021.
- Five-year quarterly Change in Inventory spans a low of -$124.72 million in fiscal Q4 2023 and a high of $88.64 million in fiscal Q2 2022.
- Year over year, Change in Inventory gained in two of the last four quarters, with growth averaging 2.8%.
- The high point for year-over-year Change in Inventory in five years was fiscal Q1 2022 (growth of 71.0%); the low point was fiscal Q1 2026 (a decline of 77.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $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 | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 4.52 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | -709.00 Mn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 160.24 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 110.41 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 932.00 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 192.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 176.29 Mn |
| 10 | Leslie's | 655,410.00 | -130.14 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=LESLQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "LESLQ", "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=LESLQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();