Datavault AI (DVLT) Other Accumulated Expenses (2017 - 2026)
Datavault AI (DVLT) reported Other Accumulated Expenses of $788,000 for Q2 2026, up 50.1% from $525,000 a year earlier and up 3.7% from the prior quarter.
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Analysis
Datavault AI (DVLT) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Datavault AI posted Other Accumulated Expenses of $98,000, down 54.8% from FY2024.
- Other Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $217,000 in FY2024 (-33.6%), $327,000 in FY2023 (-22.9%), $424,000 in FY2022 (+67.6%) and $253,000 in FY2021 (+57.1%).
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses since Q2 2018.
- Year over year, Other Accumulated Expenses gained in four of the last eight quarters, with growth averaging 90.9%.
- The high point for year-over-year Other Accumulated Expenses in five years was Q2 2025 (growth of 303.8%); the low point was Q3 2022 (a decline of 66.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $760,000 (Q1 2026), $98,000 (Q4 2025) and $713,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 788,000.00 |
| Mar 31, 2026 | 760,000.00 |
| Dec 31, 2025 | 98,000.00 |
| Sep 30, 2025 | 713,000.00 |
| Jun 30, 2025 | 525,000.00 |
| Mar 31, 2025 | 235,000.00 |
| Dec 31, 2024 | 217,000.00 |
| Sep 30, 2024 | 177,000.00 |
| Jun 30, 2024 | 130,000.00 |
| Mar 31, 2024 | 258,000.00 |
| Dec 31, 2023 | 327,000.00 |
| Sep 30, 2023 | 395,000.00 |
| Jun 30, 2023 | 135,000.00 |
| Mar 31, 2023 | 83,000.00 |
| Dec 31, 2022 | 424,000.00 |
| Sep 30, 2022 | 107,000.00 |
| Jun 30, 2022 | 112,000.00 |
| Mar 31, 2022 | 238,000.00 |
| Dec 31, 2021 | 253,000.00 |
| Sep 30, 2021 | 321,000.00 |
API Access
Datavault AI Other Accumulated 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=other-accumulated-expenses&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();