Dillard'S (DDS) Operating Leases (2019 - 2026)
Dillard'S (DDS) recorded Operating Leases of $22.01 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 15.6% from $19.04 million a year earlier but down 9.4% from the prior quarter.
Dillard'S (DDS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dillard'S reported Operating Leases of $26.34 million, up 17.9% from FY2025.
- Annual Operating Leases has a five-year compound annual growth rate of -4.6% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $22.35 million in FY2025 (-29.6%), $31.73 million in FY2024 (+31.3%), $24.16 million in FY2023 (-22.0%) and $30.97 million in FY2022 (-7.3%).
- Quarterly Operating Leases has ranged from $16.88 million in fiscal Q3 2026 to $31.73 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Operating Leases has increased for three consecutive quarters, with an average decline of 10.1% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 31.3% in fiscal Q4 2024, against a decline of 30.6% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $24.29 million (Q1 2027), $26.34 million (Q4 2026) and $16.88 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 22.01 Mn |
| May 2, 2026 | 24.29 Mn |
| Jan 31, 2026 | 26.34 Mn |
| Nov 1, 2025 | 16.88 Mn |
| Aug 2, 2025 | 19.04 Mn |
| May 3, 2025 | 21.54 Mn |
| Feb 1, 2025 | 22.35 Mn |
| Nov 2, 2024 | 24.34 Mn |
| Aug 3, 2024 | 27.44 Mn |
| May 4, 2024 | 30.30 Mn |
| Feb 3, 2024 | 31.73 Mn |
| Oct 28, 2023 | 26.25 Mn |
| Jul 29, 2023 | 22.29 Mn |
| Apr 29, 2023 | 23.69 Mn |
| Jan 28, 2023 | 24.16 Mn |
| Oct 29, 2022 | 26.23 Mn |
| Jul 30, 2022 | 26.49 Mn |
| Apr 30, 2022 | 28.51 Mn |
| Jan 29, 2022 | 30.97 Mn |
| Oct 30, 2021 | 29.29 Mn |
Dillard'S Operating Leases 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=operating-leases&ticker=DDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();