Datavault AI (DVLT) Wages, Salaries and Other (2024 - 2025)
Datavault AI (DVLT) recorded Wages, Salaries and Other of $9.2 million in Q4 2025, up 127.9% from $4.03 million a year earlier and up 44.5% from the prior quarter.
Datavault AI (DVLT) Wages, Salaries and Other (2024 - 2025) Analysis & Trends
For FY2025, Datavault AI reported Wages, Salaries and Other of $23.78 million, up 112.8% from FY2024.
- Across earlier years, Wages, Salaries and Other came in at $11.18 million in FY2024 (+6.8%) and $10.47 million in FY2023.
- The Q4 2025 figure is the highest quarterly Wages, Salaries and Other in data going back to Q1 2024.
- On a year-over-year basis, Wages, Salaries and Other has increased for four consecutive quarters, with growth averaging 108.8% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $6.36 million (Q3 2025), $4.66 million (Q2 2025) and $3.56 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (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
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.20 Mn |
| Sep 30, 2025 | 6.36 Mn |
| Jun 30, 2025 | 4.66 Mn |
| Mar 31, 2025 | 3.56 Mn |
| Dec 31, 2024 | 4.03 Mn |
| Sep 30, 2024 | 2.55 Mn |
| Jun 30, 2024 | 2.30 Mn |
| Mar 31, 2024 | 2.28 Mn |
Datavault AI Wages, Salaries and Other 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=wages-salaries-and-other&ticker=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();