Datavault AI (DVLT) Shares Outstanding (Diluted) (2020 - 2026)
Datavault AI (DVLT) posted Shares Outstanding (Diluted) of 727.62 million for Q2 2026, up 967.3% from 68.17 million a year earlier and up 26.7% from the prior quarter.
Datavault AI (DVLT) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Datavault AI's Shares Outstanding (Diluted) came in at 152.58 million.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 96.3% (FY2020 to FY2025).
- In prior years, Datavault AI's Shares Outstanding (Diluted) was 4.2 million in FY2024 (-46.9%), 7.9 million in FY2023, 194,852 in FY2022 (-98.4%) and 12.4 million in FY2021 (+136.9%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in two of the last four quarters, with growth averaging 468.4%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2026, with growth of 969.7%; the weakest was Q4 2022, with a decline of 98.4%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 574.22 million (Q1 2026), 152.58 million (Q4 2025) and 101.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 727.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 727.62 Mn |
| Mar 31, 2026 | 574.22 Mn |
| Dec 31, 2025 | 152.58 Mn |
| Sep 30, 2025 | 101.11 Mn |
| Jun 30, 2025 | 68.17 Mn |
| Mar 31, 2025 | 53.68 Mn |
| Dec 31, 2024 | 4.20 Mn |
| Sep 30, 2024 | 5.28 Mn |
| Jun 30, 2024 | 3.59 Mn |
| Mar 31, 2024 | 585,500.00 |
| Dec 31, 2023 | 7.90 Mn |
| Sep 30, 2023 | 6.32 Mn |
| Jun 30, 2023 | 4.43 Mn |
| Mar 31, 2023 | 1.73 Mn |
| Dec 31, 2022 | 194,852.00 |
| Sep 30, 2022 | 15.07 Mn |
| Jun 30, 2022 | 15.02 Mn |
| Mar 31, 2022 | 14.83 Mn |
| Dec 31, 2021 | 12.40 Mn |
| Sep 30, 2021 | 13.92 Mn |
Datavault AI 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=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DVLT", "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=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();