Datavault AI (DVLT) Tax Provisions (2017 - 2025)
Datavault AI's Tax Provisions was $5,000 in FY2025.
Analysis
Datavault AI (DVLT) Tax Provisions (2017 - 2025) Analysis & Trends
From FY2017 onward, Datavault AI has reported Tax Provisions for 8 years.
- Tax Provisions shows a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Tax Provisions since FY2019.
- Per Business Quant data, Tax Provisions in earlier years was $4,000 in FY2023 (+100.0%), $2,000 in FY2022 (unchanged) and $2,000 in FY2021 (-33.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 13.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | -1.40 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 115.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 3.43 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 7.20 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 10.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.26 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 147.00 Mn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 5,000.00 |
| Dec 31, 2023 | 2,000.00 |
| Jun 30, 2023 | 2,000.00 |
| Jun 30, 2022 | 2,000.00 |
| Jun 30, 2021 | 2,000.00 |
| Jun 30, 2020 | 3,000.00 |
| Dec 31, 2019 | 1,000.00 |
| Jun 30, 2019 | 1,000.00 |
| Mar 31, 2019 | 6,000.00 |
| Sep 30, 2018 | 6,000.00 |
| Mar 31, 2018 | 2,000.00 |
| Dec 31, 2017 | 2,660.00 |
API Access
Datavault AI Tax Provisions 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=tax-provisions&ticker=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();