Datavault AI (DVLT) Enterprise Value (2018 - 2026)
Datavault AI (DVLT) reported Enterprise Value of $297.66 million for Q2 2026, up 561.8% from $44.98 million a year earlier but down 21.8% from the prior quarter.
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Analysis
Datavault AI (DVLT) Enterprise Value (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Datavault AI's Enterprise Value came in at $291.75 million, up 677.5% year-over-year; for FY2025, it was $97.17 million.
- Enterprise Value has a five-year compound annual growth rate of -79.6% (FY2020 to FY2025).
- By year, Enterprise Value came in at $5.27 million in FY2024 (-96.3%), $141.76 million in FY2023 (-55.5%), $318.61 million in FY2022 (-99.9%) and $258.56 billion in FY2021 (-7.0%).
- Five-year quarterly Enterprise Value spans a low of -$1.04 million in Q1 2024 and a high of $663.75 billion in Q3 2021.
- Year over year, Enterprise Value gained in two of the last four quarters, with growth averaging 276.2%.
- The high point for year-over-year Enterprise Value in five years was Q1 2026 (growth of 738.3%); the low point was Q4 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $380.84 million (Q1 2026), $97.17 million (Q4 2025) and $108.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 297.66 Mn |
| Mar 31, 2026 | 380.84 Mn |
| Dec 31, 2025 | 97.17 Mn |
| Sep 30, 2025 | 108.51 Mn |
| Jun 30, 2025 | 44.98 Mn |
| Mar 31, 2025 | 45.43 Mn |
| Dec 31, 2024 | 5.27 Mn |
| Sep 30, 2024 | 5.42 Mn |
| Jun 30, 2024 | 3.11 Mn |
| Mar 31, 2024 | -1.04 Mn |
| Dec 31, 2023 | 141.76 Mn |
| Sep 30, 2023 | 582.11 Mn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 404.80 Mn |
| Dec 31, 2022 | 318.61 Mn |
| Sep 30, 2022 | 143.80 Bn |
| Jun 30, 2022 | 157.16 Bn |
| Mar 31, 2022 | 316.56 Bn |
| Dec 31, 2021 | 258.56 Bn |
| Sep 30, 2021 | 663.75 Bn |
API Access
Datavault AI Enterprise Value 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=enterprise-value&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();