Datavault AI (DVLT) Cash & Equivalents (2017 - 2026)
Datavault AI (DVLT) reported Cash & Equivalents of $1.4 million for Q2 2026, up 100.0% from $700,000 a year earlier but down 36.5% from the prior quarter.
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Analysis
Datavault AI (DVLT) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Datavault AI posted Cash & Equivalents of $2 million, down 39.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -23.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $3.33 million in FY2024 (+710.2%), $411,000 in FY2023 (-85.8%), $2.9 million in FY2022 (-77.9%) and $13.11 million in FY2021 (+76.8%).
- Five-year quarterly Cash & Equivalents spans a low of $200,000 in Q1 2025 and a high of $16.1 million in Q3 2021.
- Year over year, Cash & Equivalents gained in two of the last six quarters, with growth averaging 88.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2024 (growth of 710.2%); the low point was Q1 2025 (a decline of 92.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.21 million (Q1 2026), $2 million (Q4 2025) and $1.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 1.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 700,000.00 |
| Mar 31, 2025 | 200,000.00 |
| Dec 31, 2024 | 3.33 Mn |
| Sep 30, 2024 | 3.92 Mn |
| Jun 30, 2024 | 6.11 Mn |
| Mar 31, 2024 | 2.80 Mn |
| Dec 31, 2023 | 411,000.00 |
| Sep 30, 2023 | 212,000.00 |
| Jun 30, 2023 | 2.01 Mn |
| Mar 31, 2023 | 5.30 Mn |
| Dec 31, 2022 | 2.90 Mn |
| Sep 30, 2022 | 2.64 Mn |
| Jun 30, 2022 | 4.80 Mn |
| Mar 31, 2022 | 9.10 Mn |
| Dec 31, 2021 | 13.11 Mn |
| Sep 30, 2021 | 16.10 Mn |
API Access
Datavault AI Cash & Equivalents 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=cash-and-equivalents&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();