Datavault AI (DVLT) Inventory (2017 - 2026)
Datavault AI (DVLT) reported Inventory of $942,000 for Q2 2026, down 31.0% from $1.37 million a year earlier but up 31.4% from the prior quarter.
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Analysis
Datavault AI (DVLT) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2025, Datavault AI posted Inventory of $636,000, down 60.7% from FY2024.
- Inventory has declined for three consecutive years, with a five-year compound annual growth rate of -25.2% (FY2020 to FY2025).
- By year, Inventory came in at $1.62 million in FY2024 (-40.9%), $2.74 million in FY2023 (-61.3%), $7.07 million in FY2022 (+47.9%) and $4.78 million in FY2021 (+76.5%).
- Five-year quarterly Inventory spans a low of $636,000 in Q4 2025 and a high of $7.28 million in Q3 2022.
- Year over year, Inventory has now declined in each of the last 14 quarters, with an average decline of 44.5% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q1 2022 (growth of 88.9%); the low point was Q4 2023 (a decline of 61.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $717,000 (Q1 2026), $636,000 (Q4 2025) and $994,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (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 | 426.30 Mn |
| 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 | 486.56 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 | 942,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 942,000.00 |
| Mar 31, 2026 | 717,000.00 |
| Dec 31, 2025 | 636,000.00 |
| Sep 30, 2025 | 994,000.00 |
| Jun 30, 2025 | 1.37 Mn |
| Mar 31, 2025 | 1.34 Mn |
| Dec 31, 2024 | 1.62 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 2.33 Mn |
| Mar 31, 2024 | 2.58 Mn |
| Dec 31, 2023 | 2.74 Mn |
| Sep 30, 2023 | 3.17 Mn |
| Jun 30, 2023 | 5.48 Mn |
| Mar 31, 2023 | 5.75 Mn |
| Dec 31, 2022 | 7.07 Mn |
| Sep 30, 2022 | 7.28 Mn |
| Jun 30, 2022 | 6.25 Mn |
| Mar 31, 2022 | 6.23 Mn |
| Dec 31, 2021 | 4.78 Mn |
| Sep 30, 2021 | 3.95 Mn |
API Access
Datavault AI Inventory 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=inventory&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();