Datavault AI (DVLT) Interest Expenses (2017 - 2026)
Datavault AI's Interest Expenses came in at $1 million for Q2 2026, down 94.2% from $17.2 million a year earlier and down 10.8% from the prior quarter.
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Analysis
Datavault AI (DVLT) Interest Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datavault AI reported Interest Expenses of $4.78 million, down 72.4% year-over-year; for FY2025, it was $19.98 million.
- Interest Expenses carries a five-year compound annual growth rate of 70.3% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $1.27 million in FY2024 (+36.5%), $932,000 in FY2023 (+3.8%), $898,000 in FY2022 and $9,000 in FY2021 (-99.4%).
- The five-year range for quarterly Interest Expenses is -$9,000 (Q3 2024) to $17.2 million (Q2 2025).
- Year-over-year, Interest Expenses increased in 1 of the last four quarters, with growth averaging 139.9%.
- The fastest year-over-year change in Interest Expenses over five years came in Q1 2026 (growth of 834.2%), and the weakest in Q2 2026 (a decline of 94.2%).
- Business Quant data shows DVLT's Interest Expenses at $1.12 million (Q1 2026), $1.8 million (Q4 2025) and $864,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -89.29 Mn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 1.12 Mn |
| Dec 31, 2025 | 1.80 Mn |
| Sep 30, 2025 | 864,000.00 |
| Jun 30, 2025 | 17.20 Mn |
| Mar 31, 2025 | 120,000.00 |
| Dec 31, 2024 | 12,000.00 |
| Sep 30, 2024 | -9,000.00 |
| Jun 30, 2024 | 4,000.00 |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 120,000.00 |
| Sep 30, 2023 | 52,000.00 |
| Jun 30, 2023 | 37,000.00 |
| Mar 31, 2023 | 723,000.00 |
| Dec 31, 2022 | 724,000.00 |
| Sep 30, 2022 | 173,000.00 |
| Mar 31, 2022 | 1,000.00 |
| Sep 30, 2021 | 3,000.00 |
| Jun 30, 2021 | 3,000.00 |
| Mar 31, 2021 | 3,000.00 |
API Access
Datavault AI Interest 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=interest-expenses&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();