Dillard'S (DDS) Cash from Operations (2009 - 2026)
Dillard'S (DDS) posted Cash from Operations of -$37.18 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with $86.76 million a year earlier.
Dillard'S (DDS) Cash from Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Cash from Operations at Dillard'S was $724.42 million, down 15.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $717.01 million, up 0.4% from FY2025.
- Annual Cash from Operations shows a five-year compound annual growth rate of 23.2% (FY2021 to FY2026).
- In prior fiscal years, Dillard'S's Cash from Operations was $714.13 million in FY2025 (-19.2%), $883.59 million in FY2024 (-6.8%), $948.39 million in FY2023 (-25.9%) and $1.28 billion in FY2022 (+406.0%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Cash from Operations since fiscal Q2 2025.
- On a year-over-year basis, Cash from Operations increased in three of the last six quarters, with growth averaging 42.1%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was fiscal Q3 2025, with growth of 252.2%; the weakest was fiscal Q3 2024, with a decline of 82.4%.
- According to Business Quant data, Cash from Operations for the three prior fiscal quarters was $363.98 million (Q1 2027), $211.15 million (Q4 2026) and $186.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 801.99 Mn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | -37.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -37.18 Mn |
| May 2, 2026 | 363.98 Mn |
| Jan 31, 2026 | 211.15 Mn |
| Nov 1, 2025 | 186.46 Mn |
| Aug 2, 2025 | 86.76 Mn |
| May 3, 2025 | 232.63 Mn |
| Feb 1, 2025 | 364.69 Mn |
| Nov 2, 2024 | 173.48 Mn |
| Aug 3, 2024 | -68.42 Mn |
| May 4, 2024 | 244.38 Mn |
| Feb 3, 2024 | 436.48 Mn |
| Oct 28, 2023 | 49.26 Mn |
| Jul 29, 2023 | 116.90 Mn |
| Apr 29, 2023 | 280.95 Mn |
| Jan 28, 2023 | 389.97 Mn |
| Oct 29, 2022 | 279.37 Mn |
| Jul 30, 2022 | -86.13 Mn |
| Apr 30, 2022 | 365.18 Mn |
| Jan 29, 2022 | 551.94 Mn |
| Oct 30, 2021 | 235.78 Mn |
Dillard'S Cash from Operations 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=cash-from-operations&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();