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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 14.71 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 3.99 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 652.00 Mn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 1.28 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 155.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 229.00 Mn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 383.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 6.01 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 74.60 Mn |
| 10 | Data Storage | 7.72 Mn | 7.50 Mn | 168,481.00 | 2.24 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();