Ross Stores (ROST) Change in Inventory (2009 - 2026)
Ross Stores' Change in Inventory came in at $110.41 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$61.36 million a year earlier and down 68.1% from the prior quarter.
Ross Stores (ROST) Change in Inventory (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Ross Stores reported Change in Inventory of $478.89 million, up 306.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $186.46 million, down 26.1% from FY2025.
- Going back by fiscal year, Change in Inventory was $252.29 million in FY2025 (+49.5%), $168.73 million in FY2024, -$238.78 million in FY2023 and $753.29 million in FY2022.
- The five-year range for quarterly Change in Inventory is -$498 million (fiscal Q4 2026) to $520.49 million (fiscal Q3 2026).
- Year-over-year, Change in Inventory increased in three of the last four quarters, with growth averaging 24.0%.
- The fastest year-over-year change in Change in Inventory over five years came in fiscal Q1 2023 (growth of 117.6%), and the weakest in fiscal Q2 2025 (a decline of 50.5%).
- Business Quant data shows ROST's Change in Inventory at $345.99 million (Q1 2027), -$498 million (Q4 2026) and $520.49 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 104.14 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 110.41 Mn |
| May 2, 2026 | 345.99 Mn |
| Jan 31, 2026 | -498.00 Mn |
| Nov 1, 2025 | 520.49 Mn |
| Aug 2, 2025 | -61.36 Mn |
| May 3, 2025 | 225.34 Mn |
| Feb 1, 2025 | -414.59 Mn |
| Nov 2, 2024 | 368.55 Mn |
| Aug 3, 2024 | 28.86 Mn |
| May 4, 2024 | 269.48 Mn |
| Feb 3, 2024 | -421.59 Mn |
| Oct 28, 2023 | 313.75 Mn |
| Jul 29, 2023 | 58.33 Mn |
| Apr 29, 2023 | 218.24 Mn |
| Jan 28, 2023 | -470.51 Mn |
| Oct 29, 2022 | -222.88 Mn |
| Jul 30, 2022 | 43.33 Mn |
| Apr 30, 2022 | 411.28 Mn |
| Jan 29, 2022 | 31.03 Mn |
| Oct 30, 2021 | 480.22 Mn |
Ross Stores 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=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "ROST", "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=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();