Dillard'S (DDS) Operating Expenses (2009 - 2026)
Dillard'S's Operating Expenses came in at $447.46 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.0% from $438.72 million a year earlier but down 0.1% from the prior quarter.
Dillard'S (DDS) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Dillard'S reported Operating Expenses of $1.81 billion, up 3.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.78 billion, up 1.5% from FY2025.
- Operating Expenses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 7.6% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $1.75 billion in FY2025 (+0.8%), $1.74 billion in FY2024 (+2.4%), $1.7 billion in FY2023 (+8.9%) and $1.56 billion in FY2022 (+26.4%).
- The five-year range for quarterly Operating Expenses is $398.14 million (fiscal Q3 2022) to $483.97 million (fiscal Q4 2024).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 31.2%), and the weakest in fiscal Q4 2025 (a decline of 5.3%).
- Business Quant data shows DDS's Operating Expenses at $447.87 million (Q1 2027), $468.69 million (Q4 2026) and $444.76 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | 447.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 447.46 Mn |
| May 2, 2026 | 447.87 Mn |
| Jan 31, 2026 | 468.69 Mn |
| Nov 1, 2025 | 444.76 Mn |
| Aug 2, 2025 | 438.72 Mn |
| May 3, 2025 | 426.29 Mn |
| Feb 1, 2025 | 458.55 Mn |
| Nov 2, 2024 | 423.79 Mn |
| Aug 3, 2024 | 438.62 Mn |
| May 4, 2024 | 431.70 Mn |
| Feb 3, 2024 | 483.97 Mn |
| Oct 28, 2023 | 426.76 Mn |
| Jul 29, 2023 | 417.50 Mn |
| Apr 29, 2023 | 410.76 Mn |
| Jan 28, 2023 | 465.88 Mn |
| Oct 29, 2022 | 419.11 Mn |
| Jul 30, 2022 | 406.65 Mn |
| Apr 30, 2022 | 405.85 Mn |
| Jan 29, 2022 | 448.32 Mn |
| Oct 30, 2021 | 398.14 Mn |
Dillard'S Operating Expenses 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=operating-expenses&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();