Ross Stores (ROST) Treasury Stock (2009 - 2026)
Ross Stores (ROST) posted Treasury Shares of $935.88 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 19.4% from $783.83 million a year earlier and up 0.3% from the prior quarter.
Ross Stores (ROST) Treasury Stock (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ross Stores' Treasury Shares came in at $799.29 million, up 11.1% from FY2025.
- Annual Treasury Shares has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 10.8% (FY2021 to FY2026).
- In prior fiscal years, Ross Stores' Treasury Shares was $719.41 million in FY2025 (+13.6%), $633.32 million in FY2024 (+8.3%), $584.75 million in FY2023 (+9.1%) and $535.9 million in FY2022 (+12.0%).
- The fiscal Q2 2027 figure stands as the highest quarterly Treasury Shares in data going back to fiscal Q1 2010.
- On a year-over-year basis, Treasury Shares has increased in each of the last 66 quarters, with growth averaging 13.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Treasury Shares ran from 8.3% in fiscal Q4 2024 to 19.7% in fiscal Q1 2027.
- According to Business Quant data, Treasury Shares for the three prior fiscal quarters was $933.46 million (Q1 2027), $799.29 million (Q4 2026) and $799.29 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 7.84 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 95.97 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 935.88 Mn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | - |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 1.56 Bn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - | 1.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 935.88 Mn |
| May 2, 2026 | 933.46 Mn |
| Jan 31, 2026 | 799.29 Mn |
| Nov 1, 2025 | 799.29 Mn |
| Aug 2, 2025 | 783.83 Mn |
| May 3, 2025 | 779.54 Mn |
| Feb 1, 2025 | 719.41 Mn |
| Nov 2, 2024 | 719.41 Mn |
| Aug 3, 2024 | 705.05 Mn |
| May 4, 2024 | 703.80 Mn |
| Feb 3, 2024 | 633.32 Mn |
| Oct 28, 2023 | 633.32 Mn |
| Jul 29, 2023 | 623.19 Mn |
| Apr 29, 2023 | 622.27 Mn |
| Jan 28, 2023 | 584.75 Mn |
| Oct 29, 2022 | 581.27 Mn |
| Jul 30, 2022 | 574.53 Mn |
| Apr 30, 2022 | 574.01 Mn |
| Jan 29, 2022 | 535.90 Mn |
| Oct 30, 2021 | 535.64 Mn |
Ross Stores Treasury Stock 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=treasury-shares&ticker=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();