Dillard'S (DDS) Tax Provisions (2009 - 2026)
Dillard'S (DDS) recorded Tax Provisions of $29.76 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 36.8% from $21.75 million a year earlier but down 61.2% from the prior quarter.
Dillard'S (DDS) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Dillard'S's Tax Provisions came in at $159.61 million as of Aug 1, 2026, up 22.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $124.7 million, down 8.5% from FY2025.
- Annual Tax Provisions has declined for four straight fiscal years.
- Across earlier fiscal years, Tax Provisions came in at $136.23 million in FY2025 (-23.4%), $177.77 million in FY2024 (-18.4%), $217.83 million in FY2023 (-3.6%) and $225.89 million in FY2022.
- Quarterly Tax Provisions has ranged from $14.07 million in fiscal Q4 2026 to $76.78 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Tax Provisions rose in three of the last eight quarters, with an average decline of 0.1%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 68.4% in fiscal Q4 2022, against a decline of 43.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $76.78 million (Q1 2027), $14.07 million (Q4 2026) and $39 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 283.46 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 582.00 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 209.01 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 66.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 171.78 Mn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | 29.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 29.76 Mn |
| May 2, 2026 | 76.78 Mn |
| Jan 31, 2026 | 14.07 Mn |
| Nov 1, 2025 | 39.00 Mn |
| Aug 2, 2025 | 21.75 Mn |
| May 3, 2025 | 49.88 Mn |
| Feb 1, 2025 | 20.92 Mn |
| Nov 2, 2024 | 37.91 Mn |
| Aug 3, 2024 | 22.63 Mn |
| May 4, 2024 | 54.77 Mn |
| Feb 3, 2024 | 32.03 Mn |
| Oct 28, 2023 | 44.04 Mn |
| Jul 29, 2023 | 40.08 Mn |
| Apr 29, 2023 | 61.62 Mn |
| Jan 28, 2023 | 42.95 Mn |
| Oct 29, 2022 | 54.82 Mn |
| Jul 30, 2022 | 47.13 Mn |
| Apr 30, 2022 | 72.93 Mn |
| Jan 29, 2022 | 68.69 Mn |
| Oct 30, 2021 | 57.30 Mn |
Dillard'S 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=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "DDS", "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=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();