Dillard'S (DDS) Accounts Payables (2009 - 2026)
Dillard'S (DDS) recorded Accounts Payables of $794.69 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 4.4% from $761.23 million a year earlier but down 26.5% from the prior quarter.
Dillard'S (DDS) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dillard'S reported Accounts Payables of $772.4 million, down 2.8% from FY2025.
- Annual Accounts Payables has a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- Across earlier fiscal years, Accounts Payables came in at $795.02 million in FY2025 (+1.6%), $782.55 million in FY2024 (-5.5%), $828.48 million in FY2023 (-6.5%) and $886.23 million in FY2022 (+16.9%).
- Quarterly Accounts Payables has ranged from $761.23 million in fiscal Q2 2026 to $1.29 billion in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Accounts Payables rose in five of the last eight quarters, with growth averaging 1.2%.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 24.6% in fiscal Q3 2022, against a decline of 9.8% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.08 billion (Q1 2027), $772.4 million (Q4 2026) and $1.21 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 13.59 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 2.62 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.31 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 7.38 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 1.46 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 8.40 Bn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | 794.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 794.69 Mn |
| May 2, 2026 | 1.08 Bn |
| Jan 31, 2026 | 772.40 Mn |
| Nov 1, 2025 | 1.21 Bn |
| Aug 2, 2025 | 761.23 Mn |
| May 3, 2025 | 1.06 Bn |
| Feb 1, 2025 | 795.02 Mn |
| Nov 2, 2024 | 1.21 Bn |
| Aug 3, 2024 | 768.76 Mn |
| May 4, 2024 | 1.03 Bn |
| Feb 3, 2024 | 782.55 Mn |
| Oct 28, 2023 | 1.18 Bn |
| Jul 29, 2023 | 803.14 Mn |
| Apr 29, 2023 | 1.10 Bn |
| Jan 28, 2023 | 828.48 Mn |
| Oct 29, 2022 | 1.29 Bn |
| Jul 30, 2022 | 890.78 Mn |
| Apr 30, 2022 | 1.16 Bn |
| Jan 29, 2022 | 886.23 Mn |
| Oct 30, 2021 | 1.29 Bn |
Dillard'S Accounts Payables 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=accounts-payables&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();