Dick'S Sporting Goods (DKS) Change in Inventory (2009 - 2026)
Dick'S Sporting Goods' Change in Inventory was $148.46 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$165.44 million a year earlier and down 71.1% from the prior quarter.
Dick'S Sporting Goods (DKS) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dick'S Sporting Goods' Change in Inventory was $427.09 million through Aug 1, 2026, up 89.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -$181.32 million.
- In earlier fiscal years, Change in Inventory was $501.03 million in FY2025, -$18.82 million in FY2024, $533.31 million in FY2023 (+55.0%) and $344.04 million in FY2022.
- Quarterly Change in Inventory has moved between -$752.33 million (fiscal Q4 2026) and $547.89 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Change in Inventory was higher in two of the last four quarters, with growth averaging 29.4%.
- The best year-over-year quarter for Change in Inventory over five years was fiscal Q1 2023 (growth of 801.5%); the worst was fiscal Q1 2024 (a decline of 68.4%).
- Per Business Quant data, DKS's Change in Inventory in the three fiscal quarters before Q2 2027 was $514.02 million (Q1 2027), -$752.33 million (Q4 2026) and $516.93 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,844.53 Bn | 2,361.23 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 312.63 Bn | 305.87 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 161.72 Bn | 139.27 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 109.89 Bn | 102.86 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 75.21 Bn | 58.14 Bn | 2.12 Bn | 110.41 Mn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 160.24 Mn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 932.00 Mn |
| 8 | Autozone | 51.79 Bn | 50.69 Bn | 2.52 Bn | 104.14 Mn |
| 9 | Carvana | 43.43 Bn | 33.92 Bn | 1.38 Bn | 586.00 Mn |
| 10 | Dick'S Sporting Goods | 12.60 Bn | 8.52 Bn | 1.94 Bn | 148.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 148.46 Mn |
| May 2, 2026 | 514.02 Mn |
| Jan 31, 2026 | -752.33 Mn |
| Nov 1, 2025 | 516.93 Mn |
| Aug 2, 2025 | -165.44 Mn |
| May 3, 2025 | 219.52 Mn |
| Feb 1, 2025 | -376.08 Mn |
| Nov 2, 2024 | 547.89 Mn |
| Aug 3, 2024 | -23.12 Mn |
| May 4, 2024 | 352.35 Mn |
| Feb 3, 2024 | -434.11 Mn |
| Oct 28, 2023 | 431.55 Mn |
| Jul 29, 2023 | -182.84 Mn |
| Apr 29, 2023 | 166.58 Mn |
| Jan 28, 2023 | -530.14 Mn |
| Oct 29, 2022 | 365.09 Mn |
| Jul 30, 2022 | 171.13 Mn |
| Apr 30, 2022 | 527.22 Mn |
| Jan 29, 2022 | -192.83 Mn |
| Oct 30, 2021 | 479.42 Mn |
Dick'S Sporting Goods Change in Inventory 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=change-in-inventory&ticker=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();