Datavault AI (DVLT) Assets (2017 - 2026)
Datavault AI (DVLT) recorded Assets of $276.64 million in Q2 2026, up 129.2% from $120.69 million a year earlier and up 10.6% from the prior quarter.
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Analysis
Datavault AI (DVLT) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Datavault AI reported Assets of $274.7 million, up 173.0% from FY2024.
- Annual Assets has a five-year compound annual growth rate of 89.3% (FY2020 to FY2025).
- Across earlier years, Assets came in at $100.63 million in FY2024, $4.82 million in FY2023 (-57.9%), $11.45 million in FY2022 (-40.9%) and $19.39 million in FY2021 (+71.6%).
- The Q2 2026 figure is the highest quarterly Assets in data going back to Q4 2017.
- On a year-over-year basis, Assets has increased for three consecutive quarters, with growth averaging 127.1% over the last four quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 173.0% in Q4 2025, against a decline of 57.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $250.11 million (Q1 2026), $274.7 million (Q4 2025) and $138.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 48.46 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 12.03 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 10.86 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 8.69 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 7.55 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 7.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 9.14 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 7.87 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 69.26 Bn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 276.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 276.64 Mn |
| Mar 31, 2026 | 250.11 Mn |
| Dec 31, 2025 | 274.70 Mn |
| Sep 30, 2025 | 138.66 Mn |
| Jun 30, 2025 | 120.69 Mn |
| Mar 31, 2025 | 95.67 Mn |
| Dec 31, 2024 | 100.63 Mn |
| Sep 30, 2024 | 8.02 Mn |
| Jun 30, 2024 | 10.63 Mn |
| Mar 31, 2024 | 6.93 Mn |
| Dec 31, 2023 | 4.82 Mn |
| Sep 30, 2023 | 5.53 Mn |
| Jun 30, 2023 | 8.93 Mn |
| Mar 31, 2023 | 12.58 Mn |
| Dec 31, 2022 | 11.45 Mn |
| Sep 30, 2022 | 11.57 Mn |
| Jun 30, 2022 | 12.21 Mn |
| Mar 31, 2022 | 16.97 Mn |
| Dec 31, 2021 | 19.39 Mn |
| Sep 30, 2021 | 21.92 Mn |
API Access
Datavault AI Assets 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=assets&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();