Dick'S Sporting Goods (DKS) Cash & Equivalents (2009 - 2026)
Dick'S Sporting Goods (DKS) reported Cash & Equivalents of $913.74 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 25.8% from $1.23 billion a year earlier and down 8.5% from the prior quarter.
Dick'S Sporting Goods (DKS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dick'S Sporting Goods posted Cash & Equivalents of $1.35 billion, down 19.9% from FY2025.
- Cash & Equivalents has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $1.69 billion in FY2025 (-6.2%), $1.8 billion in FY2024 (-6.4%), $1.92 billion in FY2023 (-27.2%) and $2.64 billion in FY2022 (+59.4%).
- Five-year quarterly Cash & Equivalents spans a low of $821.33 million in fiscal Q3 2026 and a high of $2.64 billion in fiscal Q4 2022.
- Year over year, Cash & Equivalents has now declined in each of the last seven quarters, with an average decline of 20.0% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q4 2022 (growth of 59.4%); the low point was fiscal Q3 2026 (a decline of 43.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $998.23 million (Q1 2027), $1.35 billion (Q4 2026) and $821.33 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 4.29 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 262.18 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 253.73 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 2.63 Bn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn | 913.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 913.74 Mn |
| May 2, 2026 | 998.23 Mn |
| Jan 31, 2026 | 1.35 Bn |
| Nov 1, 2025 | 821.33 Mn |
| Aug 2, 2025 | 1.23 Bn |
| May 3, 2025 | 1.04 Bn |
| Feb 1, 2025 | 1.69 Bn |
| Nov 2, 2024 | 1.46 Bn |
| Aug 3, 2024 | 1.69 Bn |
| May 4, 2024 | 1.65 Bn |
| Feb 3, 2024 | 1.80 Bn |
| Oct 28, 2023 | 1.41 Bn |
| Jul 29, 2023 | 1.90 Bn |
| Apr 29, 2023 | 1.64 Bn |
| Jan 28, 2023 | 1.92 Bn |
| Oct 29, 2022 | 1.44 Bn |
| Jul 30, 2022 | 1.90 Bn |
| Apr 30, 2022 | 2.25 Bn |
| Jan 29, 2022 | 2.64 Bn |
| Oct 30, 2021 | 1.37 Bn |
Dick'S Sporting Goods Cash & Equivalents 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=cash-and-equivalents&ticker=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();