Datavault AI (DVLT) EPS (Basic) (2017 - 2026)
Datavault AI (DVLT) reported EPS (Basic) of -$0.12 for Q2 2026, compared with -$0.54 a year earlier.
Analysis
Datavault AI (DVLT) EPS (Basic) (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Datavault AI's EPS (Basic) came in at -$0.24; for FY2025, it was -$0.52.
- By year, EPS (Basic) came in at -$16.14 in FY2024, -$3.18 in FY2023, -$82.89 in FY2022 and -$1.05 in FY2021.
- Five-year quarterly EPS (Basic) spans a low of -$17.91 in Q4 2022 and a high of $0.00 in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$0.09 (Q1 2026), $0.00 (Q4 2025) and -$0.33 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | -0.38 |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 0.83 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.13 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.37 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 0.67 |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 9.91 |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | -0.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.12 |
| Mar 31, 2026 | -0.09 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | -0.33 |
| Jun 30, 2025 | -0.54 |
| Mar 31, 2025 | -0.18 |
| Dec 31, 2024 | -3.47 |
| Sep 30, 2024 | -1.39 |
| Jun 30, 2024 | -11.89 |
| Mar 31, 2024 | -5.35 |
| Dec 31, 2023 | -1.61 |
| Sep 30, 2023 | -0.97 |
| Jun 30, 2023 | -1.20 |
| Mar 31, 2023 | -0.53 |
| Dec 31, 2022 | -17.91 |
| Sep 30, 2022 | -0.31 |
| Jun 30, 2022 | -0.27 |
| Mar 31, 2022 | -0.26 |
| Dec 31, 2021 | -0.25 |
| Sep 30, 2021 | -0.15 |
API Access
Datavault AI EPS (Basic) 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=eps-basic&ticker=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();