Dillard'S (DDS) Change in Accured Expenses (2009 - 2026)
Dillard'S's Change in Accured Expenses was -$288.17 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$288.13 million a year earlier.
Dillard'S (DDS) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dillard'S's Change in Accured Expenses was $47.67 million through Aug 1, 2026, up 214.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -$2.27 million.
- In earlier fiscal years, Change in Accured Expenses was $36.47 million in FY2025, -$22.49 million in FY2024, -$28.58 million in FY2023 and $122.61 million in FY2022.
- Quarterly Change in Accured Expenses has moved between -$453.83 million (fiscal Q4 2023) and $465.34 million (fiscal Q3 2023) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 9.8%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q1 2027 (growth of 19.0%); the worst was fiscal Q3 2024 (a decline of 18.4%).
- Per Business Quant data, DDS's Change in Accured Expenses in the three fiscal quarters before Q2 2027 was $313.59 million (Q1 2027), -$428.41 million (Q4 2026) and $450.66 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 595.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 199.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Dillard'S | 10.47 Bn | 5.38 Bn | 621.09 Mn | -288.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -288.17 Mn |
| May 2, 2026 | 313.59 Mn |
| Jan 31, 2026 | -428.41 Mn |
| Nov 1, 2025 | 450.66 Mn |
| Aug 2, 2025 | -288.13 Mn |
| May 3, 2025 | 263.61 Mn |
| Feb 1, 2025 | -411.16 Mn |
| Nov 2, 2024 | 450.84 Mn |
| Aug 3, 2024 | -262.69 Mn |
| May 4, 2024 | 259.48 Mn |
| Feb 3, 2024 | -377.13 Mn |
| Oct 28, 2023 | 379.52 Mn |
| Jul 29, 2023 | -286.48 Mn |
| Apr 29, 2023 | 261.60 Mn |
| Jan 28, 2023 | -453.83 Mn |
| Oct 29, 2022 | 465.34 Mn |
| Jul 30, 2022 | -333.64 Mn |
| Apr 30, 2022 | 293.55 Mn |
| Jan 29, 2022 | -405.48 Mn |
| Oct 30, 2021 | 416.47 Mn |
Dillard'S Change in Accured 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=change-in-accured-expenses&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();