Datavault AI (DVLT) Change in Accured Expenses (2017 - 2026)
Datavault AI's Change in Accured Expenses came in at -$387,000 for Q2 2026, compared with -$98,000 a year earlier.
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Analysis
Datavault AI (DVLT) Change in Accured Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datavault AI reported Change in Accured Expenses of $7.68 million; for FY2025, it was $7.22 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of 94.0% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was -$41,000 in FY2024, -$207,000 in FY2023, $104,000 in FY2022 (+300.0%) and $26,000 in FY2021 (-90.1%).
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses since Q1 2023.
- Business Quant data shows DVLT's Change in Accured Expenses at $780,000 (Q1 2026), $4.89 million (Q4 2025) and $2.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | -387,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -387,000.00 |
| Mar 31, 2026 | 780,000.00 |
| Dec 31, 2025 | 4.89 Mn |
| Sep 30, 2025 | 2.40 Mn |
| Jun 30, 2025 | -98,000.00 |
| Mar 31, 2025 | 30,000.00 |
| Dec 31, 2024 | -100,000.00 |
| Sep 30, 2024 | 13,000.00 |
| Jun 30, 2024 | 275,000.00 |
| Mar 31, 2024 | -229,000.00 |
| Dec 31, 2023 | 112,000.00 |
| Sep 30, 2023 | 225,000.00 |
| Jun 30, 2023 | 19,000.00 |
| Mar 31, 2023 | -563,000.00 |
| Dec 31, 2022 | 392,000.00 |
| Sep 30, 2022 | -271,000.00 |
| Jun 30, 2022 | -213,000.00 |
| Mar 31, 2022 | 196,000.00 |
| Dec 31, 2021 | -618,000.00 |
| Sep 30, 2021 | -614,000.00 |
API Access
Datavault AI Change in Accured Expenses 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=change-in-accured-expenses&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();