Dillard'S (DDS) Total Non-Current Liabilities (2009 - 2026)
Dillard'S's Total Non-Current Liabilities came in at $1.25 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 10.8% from $1.4 billion a year earlier and down 28.0% from the prior quarter.
Dillard'S (DDS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dillard'S's Total Non-Current Liabilities was $1.35 billion, down 1.8% from FY2025.
- Total Non-Current Liabilities has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $1.38 billion in FY2025 (-0.2%), $1.38 billion in FY2024 (-1.7%), $1.4 billion in FY2023 (-7.5%) and $1.52 billion in FY2022 (+10.7%).
- The fiscal Q2 2027 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to fiscal Q2 2010.
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 0.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q3 2022 (growth of 14.4%), and the weakest in fiscal Q2 2027 (a decline of 10.8%).
- Business Quant data shows DDS's Total Non-Current Liabilities at $1.74 billion (Q1 2027), $1.35 billion (Q4 2026) and $1.89 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.25 Bn |
| May 2, 2026 | 1.74 Bn |
| Jan 31, 2026 | 1.35 Bn |
| Nov 1, 2025 | 1.89 Bn |
| Aug 2, 2025 | 1.40 Bn |
| May 3, 2025 | 1.69 Bn |
| Feb 1, 2025 | 1.38 Bn |
| Nov 2, 2024 | 1.78 Bn |
| Aug 3, 2024 | 1.33 Bn |
| May 4, 2024 | 1.68 Bn |
| Feb 3, 2024 | 1.38 Bn |
| Oct 28, 2023 | 1.75 Bn |
| Jul 29, 2023 | 1.47 Bn |
| Apr 29, 2023 | 1.74 Bn |
| Jan 28, 2023 | 1.40 Bn |
| Oct 29, 2022 | 1.90 Bn |
| Jul 30, 2022 | 1.49 Bn |
| Apr 30, 2022 | 1.87 Bn |
| Jan 29, 2022 | 1.52 Bn |
| Oct 30, 2021 | 1.89 Bn |
Dillard'S Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();