Dillard'S (DDS) Receivables (2009 - 2026)
Dillard'S's Receivables was $45.41 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 13.0% from $52.21 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Dillard'S (DDS) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Receivables at Dillard'S came in at $39.72 million, down 28.7% from FY2025.
- Receivables shows a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $55.7 million in FY2025 (-8.0%), $60.55 million in FY2024 (+6.3%), $56.95 million in FY2023 (+43.2%) and $39.78 million in FY2022 (+8.4%).
- Quarterly Receivables has moved between $28.47 million (fiscal Q3 2022) and $64.47 million (fiscal Q2 2025) over five years.
- Compared with a year earlier, Receivables has declined for five straight quarters, with an average decline of 11.3% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q1 2024 (growth of 91.0%); the worst was fiscal Q4 2026 (a decline of 28.7%).
- Per Business Quant data, DDS's Receivables in the three fiscal quarters before Q2 2027 was $47.05 million (Q1 2027), $39.72 million (Q4 2026) and $44.9 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 764.92 Mn |
| 10 | Dillard'S | 10.66 Bn | 5.58 Bn | 621.09 Mn | 45.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 45.41 Mn |
| May 2, 2026 | 47.05 Mn |
| Jan 31, 2026 | 39.72 Mn |
| Nov 1, 2025 | 44.90 Mn |
| Aug 2, 2025 | 52.21 Mn |
| May 3, 2025 | 56.94 Mn |
| Feb 1, 2025 | 55.70 Mn |
| Nov 2, 2024 | 61.74 Mn |
| Aug 3, 2024 | 64.47 Mn |
| May 4, 2024 | 49.25 Mn |
| Feb 3, 2024 | 60.55 Mn |
| Oct 28, 2023 | 57.41 Mn |
| Jul 29, 2023 | 59.70 Mn |
| Apr 29, 2023 | 59.05 Mn |
| Jan 28, 2023 | 56.95 Mn |
| Oct 29, 2022 | 40.48 Mn |
| Jul 30, 2022 | 36.40 Mn |
| Apr 30, 2022 | 30.92 Mn |
| Jan 29, 2022 | 39.78 Mn |
| Oct 30, 2021 | 28.47 Mn |
API Access
Dillard'S Receivables 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=receivables&ticker=DDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();