Dillard'S (DDS) Net Income (2009 - 2026)
Dillard'S (DDS) posted Net Income of $97.38 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 33.7% from $72.84 million a year earlier but down 61.1% from the prior quarter.
Dillard'S (DDS) Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Net Income at Dillard'S was $680.76 million, up 18.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $569.78 million, down 4.0% from FY2025.
- Annual Net Income has declined for three consecutive fiscal years.
- In prior fiscal years, Dillard'S's Net Income was $593.48 million in FY2025 (-19.7%), $738.85 million in FY2024 (-17.1%), $891.64 million in FY2023 (+3.4%) and $862.47 million in FY2022.
- Quarterly Net Income has run from a low of $72.84 million in fiscal Q2 2026 to a high of $321.24 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Net Income increased in three of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for Net Income in the past five years was fiscal Q3 2022, with growth of 519.6%; the weakest was fiscal Q2 2025, with a decline of 43.4%.
- According to Business Quant data, Net Income for the three prior fiscal quarters was $250.26 million (Q1 2027), $203.32 million (Q4 2026) and $129.81 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 62.66 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 4.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.52 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 2.40 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 851.30 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 1.88 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 715.06 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 513.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 641.49 Mn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | 97.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 97.38 Mn |
| May 2, 2026 | 250.26 Mn |
| Jan 31, 2026 | 203.32 Mn |
| Nov 1, 2025 | 129.81 Mn |
| Aug 2, 2025 | 72.84 Mn |
| May 3, 2025 | 163.82 Mn |
| Feb 1, 2025 | 214.36 Mn |
| Nov 2, 2024 | 124.60 Mn |
| Aug 3, 2024 | 74.48 Mn |
| May 4, 2024 | 180.04 Mn |
| Feb 3, 2024 | 250.50 Mn |
| Oct 28, 2023 | 155.34 Mn |
| Jul 29, 2023 | 131.51 Mn |
| Apr 29, 2023 | 201.50 Mn |
| Jan 28, 2023 | 289.19 Mn |
| Oct 29, 2022 | 187.91 Mn |
| Jul 30, 2022 | 163.45 Mn |
| Apr 30, 2022 | 251.09 Mn |
| Jan 29, 2022 | 321.24 Mn |
| Oct 30, 2021 | 197.33 Mn |
Dillard'S Net Income 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=net-income&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();