Dillard'S (DDS) EBITDA (2009 - 2026)
Dillard'S (DDS) reported EBITDA of $218.39 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 19.3% from $183.02 million a year earlier but down 30.5% from the prior quarter.
Dillard'S (DDS) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Dillard'S's EBITDA came in at $1.09 billion, up 2.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.05 billion, down 4.4% from FY2025.
- EBITDA has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 24.8% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $1.1 billion in FY2025 (-14.6%), $1.29 billion in FY2024 (-14.6%), $1.51 billion in FY2023 (-0.9%) and $1.52 billion in FY2022 (+338.0%).
- Five-year quarterly EBITDA spans a low of $183.02 million in fiscal Q2 2026 and a high of $508.1 million in fiscal Q4 2022.
- Year over year, EBITDA gained in three of the last eight quarters, with an average decline of 2.6%.
- The high point for year-over-year EBITDA in five years was fiscal Q3 2022 (growth of 196.2%); the low point was fiscal Q2 2025 (a decline of 27.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $314.06 million (Q1 2027), $298.69 million (Q4 2026) and $259.33 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | 218.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 218.39 Mn |
| May 2, 2026 | 314.06 Mn |
| Jan 31, 2026 | 298.69 Mn |
| Nov 1, 2025 | 259.33 Mn |
| Aug 2, 2025 | 183.02 Mn |
| May 3, 2025 | 307.85 Mn |
| Feb 1, 2025 | 322.69 Mn |
| Nov 2, 2024 | 252.49 Mn |
| Aug 3, 2024 | 192.57 Mn |
| May 4, 2024 | 329.80 Mn |
| Feb 3, 2024 | 373.12 Mn |
| Oct 28, 2023 | 288.05 Mn |
| Jul 29, 2023 | 266.30 Mn |
| Apr 29, 2023 | 358.05 Mn |
| Jan 28, 2023 | 419.38 Mn |
| Oct 29, 2022 | 345.34 Mn |
| Jul 30, 2022 | 318.34 Mn |
| Apr 30, 2022 | 422.10 Mn |
| Jan 29, 2022 | 508.10 Mn |
| Oct 30, 2021 | 368.12 Mn |
Dillard'S EBITDA 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=ebitda&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();