Ross Stores (ROST) Tax Provisions (2009 - 2026)
Ross Stores (ROST) recorded Tax Provisions of $283.46 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 74.3% from $162.63 million a year earlier and up 51.2% from the prior quarter.
Ross Stores (ROST) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Ross Stores' Tax Provisions came in at $843.83 million as of Aug 1, 2026, up 26.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $697.11 million, up 4.6% from FY2025.
- Annual Tax Provisions has increased for three straight fiscal years, with a five-year compound annual growth rate of 101.6% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $666.42 million in FY2025 (+11.6%), $597.26 million in FY2024 (+25.6%), $475.45 million in FY2023 (-11.3%) and $535.95 million in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly Tax Provisions in data going back to fiscal Q1 2010.
- On a year-over-year basis, Tax Provisions has increased for four consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 74.3% in fiscal Q2 2027, against a decline of 26.5% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $187.51 million (Q1 2027), $202.4 million (Q4 2026) and $170.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 283.46 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 582.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 209.01 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 66.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 171.78 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -291.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 283.46 Mn |
| May 2, 2026 | 187.51 Mn |
| Jan 31, 2026 | 202.40 Mn |
| Nov 1, 2025 | 170.46 Mn |
| Aug 2, 2025 | 162.63 Mn |
| May 3, 2025 | 161.63 Mn |
| Feb 1, 2025 | 183.98 Mn |
| Nov 2, 2024 | 157.94 Mn |
| Aug 3, 2024 | 175.44 Mn |
| May 4, 2024 | 149.07 Mn |
| Feb 3, 2024 | 186.56 Mn |
| Oct 28, 2023 | 146.10 Mn |
| Jul 29, 2023 | 148.54 Mn |
| Apr 29, 2023 | 116.06 Mn |
| Jan 28, 2023 | 134.36 Mn |
| Oct 29, 2022 | 108.84 Mn |
| Jul 30, 2022 | 121.23 Mn |
| Apr 30, 2022 | 111.02 Mn |
| Jan 29, 2022 | 106.50 Mn |
| Oct 30, 2021 | 119.00 Mn |
Ross Stores Tax Provisions 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=tax-provisions&ticker=ROST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ROST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();