Dillard'S (DDS) EBIT (2009 - 2026)
Dillard'S (DDS) reported EBIT of $173.63 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 25.8% from $137.98 million a year earlier but down 35.8% from the prior quarter.
Dillard'S (DDS) EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Dillard'S's EBIT came in at $911.06 million, up 2.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $868.02 million, down 5.4% from FY2025.
- EBIT has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 46.1% (FY2021 to FY2026).
- By fiscal year, EBIT came in at $918.03 million in FY2025 (-16.9%), $1.1 billion in FY2024 (-16.0%), $1.32 billion in FY2023 (-0.2%) and $1.32 billion in FY2022 (+909.8%).
- Five-year quarterly EBIT spans a low of $137.98 million in fiscal Q2 2026 and a high of $454.98 million in fiscal Q4 2022.
- Year over year, EBIT gained in three of the last eight quarters, with an average decline of 2.5%.
- The high point for year-over-year EBIT in five years was fiscal Q3 2022 (growth of 353.0%); the low point was fiscal Q2 2025 (a decline of 34.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $270.38 million (Q1 2027), $252.47 million (Q4 2026) and $214.57 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 923.76 Mn |
| 10 | Dillard'S | 10.58 Bn | 5.49 Bn | 621.09 Mn | 173.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 173.63 Mn |
| May 2, 2026 | 270.38 Mn |
| Jan 31, 2026 | 252.47 Mn |
| Nov 1, 2025 | 214.57 Mn |
| Aug 2, 2025 | 137.98 Mn |
| May 3, 2025 | 262.99 Mn |
| Feb 1, 2025 | 280.98 Mn |
| Nov 2, 2024 | 208.06 Mn |
| Aug 3, 2024 | 145.70 Mn |
| May 4, 2024 | 283.29 Mn |
| Feb 3, 2024 | 328.42 Mn |
| Oct 28, 2023 | 242.94 Mn |
| Jul 29, 2023 | 221.08 Mn |
| Apr 29, 2023 | 311.89 Mn |
| Jan 28, 2023 | 371.33 Mn |
| Oct 29, 2022 | 298.29 Mn |
| Jul 30, 2022 | 270.02 Mn |
| Apr 30, 2022 | 375.49 Mn |
| Jan 29, 2022 | 454.98 Mn |
| Oct 30, 2021 | 317.50 Mn |
Dillard'S EBIT 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=ebit&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();