Dick'S Sporting Goods (DKS) Receivables (2010 - 2026)
Dick'S Sporting Goods' Receivables was $457.63 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 104.4% from $223.88 million a year earlier but down 1.9% from the prior quarter.
Dick'S Sporting Goods (DKS) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Receivables at Dick'S Sporting Goods came in at $475.85 million, up 122.1% from FY2025.
- Receivables has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 55.0% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $214.25 million in FY2025 (+86.5%), $114.88 million in FY2024 (+61.1%), $71.29 million in FY2023 (+4.4%) and $68.26 million in FY2022 (+28.4%).
- Quarterly Receivables has moved between $68.26 million (fiscal Q4 2022) and $475.85 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Receivables has increased for 15 straight quarters, with growth averaging 82.9% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q4 2026 (growth of 122.1%); the worst was fiscal Q2 2023 (a decline of 6.3%).
- Per Business Quant data, DKS's Receivables in the three fiscal quarters before Q2 2027 was $466.52 million (Q1 2027), $475.85 million (Q4 2026) and $474.85 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 248.14 Mn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 628.51 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 764.92 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 377.00 Mn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn | 457.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 457.63 Mn |
| May 2, 2026 | 466.52 Mn |
| Jan 31, 2026 | 475.85 Mn |
| Nov 1, 2025 | 474.85 Mn |
| Aug 2, 2025 | 223.88 Mn |
| May 3, 2025 | 256.55 Mn |
| Feb 1, 2025 | 214.25 Mn |
| Nov 2, 2024 | 217.86 Mn |
| Aug 3, 2024 | 168.50 Mn |
| May 4, 2024 | 157.86 Mn |
| Feb 3, 2024 | 114.88 Mn |
| Oct 28, 2023 | 140.79 Mn |
| Jul 29, 2023 | 139.84 Mn |
| Apr 29, 2023 | 132.79 Mn |
| Jan 28, 2023 | 71.29 Mn |
| Oct 29, 2022 | 87.19 Mn |
| Jul 30, 2022 | 83.15 Mn |
| Apr 30, 2022 | 76.25 Mn |
| Jan 29, 2022 | 68.26 Mn |
| Oct 30, 2021 | 89.48 Mn |
Dick'S Sporting Goods 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=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "DKS", "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=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();