Dick'S Sporting Goods (DKS) Shares Outstanding (2009 - 2026)
Dick'S Sporting Goods' Shares Outstanding came in at 88.83 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 12.2% from 79.15 million a year earlier and up 0.3% from the prior quarter.
Dick'S Sporting Goods (DKS) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Dick'S Sporting Goods' Shares Outstanding was 83.14 million, up 3.3% from FY2025.
- Shares Outstanding carries a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding was 80.47 million in FY2025 (-2.2%), 82.3 million in FY2024 (+6.0%), 77.67 million in FY2023 (-6.6%) and 83.18 million in FY2022 (-1.3%).
- The fiscal Q2 2027 figure represents the highest quarterly Shares Outstanding since fiscal Q1 2020.
- Year-over-year, Shares Outstanding has increased for four consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in fiscal Q2 2027 (growth of 12.2%), and the weakest in fiscal Q2 2023 (a decline of 10.5%).
- Business Quant data shows DKS's Shares Outstanding at 88.54 million (Q1 2027), 83.14 million (Q4 2026) and 85.07 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,727.25 Bn | 2,243.95 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 318.36 Bn | 311.60 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 161.66 Bn | 139.20 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 111.75 Bn | 104.71 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.88 Bn | 57.80 Bn | 2.12 Bn | 317.69 Mn |
| 6 | O Reilly Automotive | 74.23 Bn | 73.32 Bn | 2.52 Bn | 825.20 Mn |
| 7 | Target | 69.90 Bn | 64.48 Bn | 8.94 Bn | 454.40 Mn |
| 8 | Autozone | 52.46 Bn | 51.36 Bn | 2.52 Bn | 16.47 Mn |
| 9 | Carvana | 42.46 Bn | 32.95 Bn | 1.38 Bn | 717.69 Mn |
| 10 | Dick'S Sporting Goods | 12.90 Bn | 8.82 Bn | 1.94 Bn | 88.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 88.83 Mn |
| May 2, 2026 | 88.54 Mn |
| Jan 31, 2026 | 83.14 Mn |
| Nov 1, 2025 | 85.07 Mn |
| Aug 2, 2025 | 79.15 Mn |
| May 3, 2025 | 79.34 Mn |
| Feb 1, 2025 | 80.47 Mn |
| Nov 2, 2024 | 80.40 Mn |
| Aug 3, 2024 | 80.43 Mn |
| May 4, 2024 | 80.58 Mn |
| Feb 3, 2024 | 82.30 Mn |
| Oct 28, 2023 | 81.77 Mn |
| Jul 29, 2023 | 84.14 Mn |
| Apr 29, 2023 | 83.07 Mn |
| Jan 28, 2023 | 77.67 Mn |
| Oct 29, 2022 | 77.79 Mn |
| Jul 30, 2022 | 75.61 Mn |
| Apr 30, 2022 | 76.18 Mn |
| Jan 29, 2022 | 83.18 Mn |
| Oct 30, 2021 | 83.54 Mn |
Dick'S Sporting Goods Shares Outstanding 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=shares-outstanding&ticker=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();