Ross Stores (ROST) Cash & Equivalents (2009 - 2026)
Ross Stores (ROST) reported Cash & Equivalents of $4.29 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.5% from $3.85 billion a year earlier and up 3.8% from the prior quarter.
Powered by 
Analysis
Ross Stores (ROST) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ross Stores posted Cash & Equivalents of $4.59 billion, down 2.9% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $4.73 billion in FY2025 (-2.9%), $4.87 billion in FY2024 (+7.0%), $4.55 billion in FY2023 (-7.5%) and $4.92 billion in FY2022 (+2.1%).
- Five-year quarterly Cash & Equivalents spans a low of $3.78 billion in fiscal Q1 2026 and a high of $5.26 billion in fiscal Q3 2022.
- Year over year, Cash & Equivalents gained in two of the last eight quarters, with an average decline of 3.9%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2022 (growth of 19.1%); the low point was fiscal Q2 2023 (a decline of 29.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $4.13 billion (Q1 2027), $4.59 billion (Q4 2026) and $4.06 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 13.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.29 Bn |
| May 2, 2026 | 4.13 Bn |
| Jan 31, 2026 | 4.59 Bn |
| Nov 1, 2025 | 4.06 Bn |
| Aug 2, 2025 | 3.85 Bn |
| May 3, 2025 | 3.78 Bn |
| Feb 1, 2025 | 4.73 Bn |
| Nov 2, 2024 | 4.35 Bn |
| Aug 3, 2024 | 4.67 Bn |
| May 4, 2024 | 4.65 Bn |
| Feb 3, 2024 | 4.87 Bn |
| Oct 28, 2023 | 4.50 Bn |
| Jul 29, 2023 | 4.58 Bn |
| Apr 29, 2023 | 4.42 Bn |
| Jan 28, 2023 | 4.55 Bn |
| Oct 29, 2022 | 3.91 Bn |
| Jul 30, 2022 | 3.90 Bn |
| Apr 30, 2022 | 4.02 Bn |
| Jan 29, 2022 | 4.92 Bn |
| Oct 30, 2021 | 5.26 Bn |
API Access
Ross Stores Cash & Equivalents 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=cash-and-equivalents&ticker=ROST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();