Ross Stores (ROST) Change in Taxes (2018 - 2026)
Ross Stores' Change in Taxes was -$123.35 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$193.23 million a year earlier.
Ross Stores (ROST) Change in Taxes (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ross Stores' Change in Taxes was $101.09 million through Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it was $17.16 million.
- Change in Taxes shows a five-year compound annual growth rate of -15.5% (FY2021 to FY2026).
- In earlier fiscal years, Change in Taxes was -$27.46 million in FY2025, $22.93 million in FY2024 (-32.3%), $33.88 million in FY2023 and -$44.58 million in FY2022.
- Quarterly Change in Taxes has moved between -$193.23 million (fiscal Q2 2026) and $153.14 million (fiscal Q1 2027) over five years.
- Compared with a year earlier, Change in Taxes was higher in two of the last four quarters, with an average decline of 9.1%.
- The best year-over-year quarter for Change in Taxes over five years was fiscal Q4 2023 (growth of 92.1%); the worst was fiscal Q4 2022 (a decline of 90.0%).
- Per Business Quant data, ROST's Change in Taxes in the three fiscal quarters before Q2 2027 was $153.14 million (Q1 2027), $28.43 million (Q4 2026) and $42.87 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | - |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | -552.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 18.00 Mn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | -123.35 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | -34.79 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 21.04 Mn |
| 10 | JD.com | 31.99 Bn | -78.19 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -123.35 Mn |
| May 2, 2026 | 153.14 Mn |
| Jan 31, 2026 | 28.43 Mn |
| Nov 1, 2025 | 42.87 Mn |
| Aug 2, 2025 | -193.23 Mn |
| May 3, 2025 | 139.09 Mn |
| Feb 1, 2025 | 36.56 Mn |
| Nov 2, 2024 | -17.31 Mn |
| Aug 3, 2024 | -185.67 Mn |
| May 4, 2024 | 138.96 Mn |
| Feb 3, 2024 | 48.46 Mn |
| Oct 28, 2023 | -1.37 Mn |
| Jul 29, 2023 | -129.38 Mn |
| Apr 29, 2023 | 105.23 Mn |
| Jan 28, 2023 | 30.48 Mn |
| Oct 29, 2022 | 17.34 Mn |
| Jul 30, 2022 | -95.57 Mn |
| Apr 30, 2022 | 81.63 Mn |
| Jan 29, 2022 | 15.86 Mn |
| Oct 30, 2021 | -32.85 Mn |
Ross Stores Change in Taxes 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-taxes&ticker=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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-taxes&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();