Ross Stores (ROST) Inventory (2009 - 2026)
Ross Stores' Inventory came in at $3.09 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 18.4% from $2.61 billion a year earlier and up 3.7% from the prior quarter.
Ross Stores (ROST) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ross Stores' Inventory was $2.63 billion, up 7.6% from FY2025.
- Inventory has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $2.44 billion in FY2025 (+11.5%), $2.19 billion in FY2024 (+8.3%), $2.02 billion in FY2023 (-10.6%) and $2.26 billion in FY2022 (+49.9%).
- The five-year range for quarterly Inventory is $2.02 billion (fiscal Q4 2023) to $3.13 billion (fiscal Q3 2026).
- Year-over-year, Inventory has increased for 12 consecutive quarters, with growth averaging 10.1% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q1 2023 (growth of 57.5%), and the weakest in fiscal Q1 2024 (a decline of 16.2%).
- Business Quant data shows ROST's Inventory at $2.98 billion (Q1 2027), $2.63 billion (Q4 2026) and $3.13 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 16.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.09 Bn |
| May 2, 2026 | 2.98 Bn |
| Jan 31, 2026 | 2.63 Bn |
| Nov 1, 2025 | 3.13 Bn |
| Aug 2, 2025 | 2.61 Bn |
| May 3, 2025 | 2.67 Bn |
| Feb 1, 2025 | 2.44 Bn |
| Nov 2, 2024 | 2.86 Bn |
| Aug 3, 2024 | 2.49 Bn |
| May 4, 2024 | 2.46 Bn |
| Feb 3, 2024 | 2.19 Bn |
| Oct 28, 2023 | 2.61 Bn |
| Jul 29, 2023 | 2.30 Bn |
| Apr 29, 2023 | 2.24 Bn |
| Jan 28, 2023 | 2.02 Bn |
| Oct 29, 2022 | 2.49 Bn |
| Jul 30, 2022 | 2.72 Bn |
| Apr 30, 2022 | 2.67 Bn |
| Jan 29, 2022 | 2.26 Bn |
| Oct 30, 2021 | 2.23 Bn |
Ross Stores 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=inventory&ticker=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();