Data Storage (DTST) Shares Outstanding (Diluted) (2016 - 2026)
Data Storage's Shares Outstanding (Diluted) came in at 2.24 million for Q2 2026, down 68.6% from 7.16 million a year earlier and down 27.7% from the prior quarter.
Data Storage (DTST) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, Data Storage's Shares Outstanding (Diluted) was 7.27 million, down 1.0% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 7.35 million in FY2024 (+1.8%), 7.22 million in FY2023 (+6.5%), 6.78 million in FY2022 (+6.9%) and 6.34 million in FY2021 (+88.4%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Diluted) in data going back to Q2 2016.
- Year-over-year, Shares Outstanding (Diluted) has declined for three consecutive quarters, with an average decline of 17.1% over the last seven quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2022 (growth of 116.5%), and the weakest in Q2 2026 (a decline of 68.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 14.72 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 3.99 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 1.28 Bn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 652.00 Mn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | 6.01 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 154.00 Mn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 232.00 Mn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 384.00 Mn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 1.45 Bn |
| 10 | Data Storage | 6.89 Mn | -99.05 Mn | 168,481.00 | 2.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Mn |
| Mar 31, 2026 | 3.10 Mn |
| Dec 31, 2025 | 7.27 Mn |
| Sep 30, 2025 | 7.61 Mn |
| Jun 30, 2025 | 7.16 Mn |
| Mar 31, 2025 | 7.41 Mn |
| Dec 31, 2024 | 7.35 Mn |
| Sep 30, 2024 | 7.34 Mn |
| Jun 30, 2024 | 6.97 Mn |
| Mar 31, 2024 | 7.26 Mn |
| Dec 31, 2023 | 7.22 Mn |
| Sep 30, 2023 | 7.25 Mn |
| Jun 30, 2023 | 7.02 Mn |
| Mar 31, 2023 | 6.95 Mn |
| Dec 31, 2022 | 6.78 Mn |
| Sep 30, 2022 | 6.82 Mn |
| Jun 30, 2022 | 6.76 Mn |
| Mar 31, 2022 | 6.96 Mn |
| Dec 31, 2021 | 6.34 Mn |
| Sep 30, 2021 | 6.48 Mn |
Data Storage Shares Outstanding (Diluted) 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-diluted&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DTST", "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-diluted&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();