Datavault AI (DVLT) Current Assets (2017 - 2026)
Datavault AI's Current Assets came in at $134.96 million for Q2 2026, compared with $3.8 million a year earlier and up 27.0% from the prior quarter.
Analysis
Datavault AI (DVLT) Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Datavault AI's Current Assets was $142.87 million.
- Current Assets carries a five-year compound annual growth rate of 66.6% (FY2020 to FY2025).
- Going back by year, Current Assets was $6.44 million in FY2024 (+57.7%), $4.08 million in FY2023 (-63.3%), $11.13 million in FY2022 (-42.0%) and $19.19 million in FY2021 (+72.6%).
- The five-year range for quarterly Current Assets is $2.69 million (Q1 2025) to $142.87 million (Q4 2025).
- Year-over-year, Current Assets increased in three of the last five quarters, with growth averaging 24.3%.
- The fastest year-over-year change in Current Assets over five years came in Q3 2025 (growth of 134.2%), and the weakest in Q4 2023 (a decline of 63.3%).
- Business Quant data shows DVLT's Current Assets at $106.27 million (Q1 2026), $142.87 million (Q4 2025) and $16.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 8.64 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.96 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 6.21 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.49 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 6.01 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.00 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 3.09 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.03 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 30.56 Bn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 134.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.96 Mn |
| Mar 31, 2026 | 106.27 Mn |
| Dec 31, 2025 | 142.87 Mn |
| Sep 30, 2025 | 16.53 Mn |
| Jun 30, 2025 | 3.80 Mn |
| Mar 31, 2025 | 2.69 Mn |
| Dec 31, 2024 | 6.44 Mn |
| Sep 30, 2024 | 7.06 Mn |
| Jun 30, 2024 | 9.97 Mn |
| Mar 31, 2024 | 6.24 Mn |
| Dec 31, 2023 | 4.08 Mn |
| Sep 30, 2023 | 4.76 Mn |
| Jun 30, 2023 | 8.15 Mn |
| Mar 31, 2023 | 12.30 Mn |
| Dec 31, 2022 | 11.13 Mn |
| Sep 30, 2022 | 11.20 Mn |
| Jun 30, 2022 | 11.78 Mn |
| Mar 31, 2022 | 16.51 Mn |
| Dec 31, 2021 | 19.19 Mn |
| Sep 30, 2021 | 21.71 Mn |
API Access
Datavault AI Current 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=current-assets&ticker=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();