Datavault AI (DVLT) Non-Current Assets (2017 - 2026)
Datavault AI's Non-Current Assets came in at $141.68 million for Q2 2026, up 21.2% from $116.89 million a year earlier but down 1.5% from the prior quarter.
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Analysis
Datavault AI (DVLT) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Datavault AI's Non-Current Assets was $131.83 million, up 40.0% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 272.8% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $94.19 million in FY2024, $740,000 in FY2023 (+129.8%), $322,000 in FY2022 (+58.6%) and $203,000 in FY2021 (+10.9%).
- The five-year range for quarterly Non-Current Assets is $203,000 (Q4 2021) to $143.85 million (Q1 2026).
- Year-over-year, Non-Current Assets has increased for three consecutive quarters, with growth averaging 34.9% over the last four quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2024 (growth of 146.3%), and the weakest in Q1 2023 (a decline of 38.9%).
- Business Quant data shows DVLT's Non-Current Assets at $143.85 million (Q1 2026), $131.83 million (Q4 2025) and $122.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 141.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.68 Mn |
| Mar 31, 2026 | 143.85 Mn |
| Dec 31, 2025 | 131.83 Mn |
| Sep 30, 2025 | 122.13 Mn |
| Jun 30, 2025 | 116.89 Mn |
| Mar 31, 2025 | 92.98 Mn |
| Dec 31, 2024 | 94.19 Mn |
| Sep 30, 2024 | 960,000.00 |
| Jun 30, 2024 | 659,000.00 |
| Mar 31, 2024 | 692,000.00 |
| Dec 31, 2023 | 740,000.00 |
| Sep 30, 2023 | 777,000.00 |
| Jun 30, 2023 | 780,000.00 |
| Mar 31, 2023 | 281,000.00 |
| Dec 31, 2022 | 322,000.00 |
| Sep 30, 2022 | 372,000.00 |
| Jun 30, 2022 | 425,000.00 |
| Mar 31, 2022 | 460,000.00 |
| Dec 31, 2021 | 203,000.00 |
| Sep 30, 2021 | 210,000.00 |
API Access
Datavault AI Non-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=non-current-assets&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();