Datavault AI (DVLT) Selling, General & Administrative (2017 - 2026)
Datavault AI (DVLT) reported Selling, General & Administrative of $14.92 million for Q2 2026, up 128.5% from $6.53 million a year earlier but down 20.2% from the prior quarter.
Datavault AI (DVLT) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Datavault AI's Selling, General & Administrative came in at $56.54 million, up 219.4% year-over-year; for FY2025, it was $35.1 million, up 261.0% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a five-year compound annual growth rate of 53.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $9.72 million in FY2024 (+81.1%), $5.37 million in FY2023 (+4.1%), $5.16 million in FY2022 (+28.4%) and $4.02 million in FY2021 (-3.6%).
- Five-year quarterly Selling, General & Administrative spans a low of $979,000 in Q4 2021 and a high of $18.7 million in Q1 2026.
- Year over year, Selling, General & Administrative has now increased in each of the last ten quarters, with growth averaging 206.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2025 (growth of 366.9%); the low point was Q4 2021 (a decline of 40.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.7 million (Q1 2026), $15.26 million (Q4 2025) and $7.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 677.00 Mn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 14.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.92 Mn |
| Mar 31, 2026 | 18.70 Mn |
| Dec 31, 2025 | 15.26 Mn |
| Sep 30, 2025 | 7.67 Mn |
| Jun 30, 2025 | 6.53 Mn |
| Mar 31, 2025 | 5.64 Mn |
| Dec 31, 2024 | 3.27 Mn |
| Sep 30, 2024 | 2.26 Mn |
| Jun 30, 2024 | 2.76 Mn |
| Mar 31, 2024 | 1.43 Mn |
| Dec 31, 2023 | 1.11 Mn |
| Sep 30, 2023 | 1.43 Mn |
| Jun 30, 2023 | 1.47 Mn |
| Mar 31, 2023 | 1.36 Mn |
| Dec 31, 2022 | 1.55 Mn |
| Sep 30, 2022 | 1.40 Mn |
| Jun 30, 2022 | 1.08 Mn |
| Mar 31, 2022 | 1.13 Mn |
| Dec 31, 2021 | 979,000.00 |
| Sep 30, 2021 | 1.08 Mn |
Datavault AI Selling, General & Administrative 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=selling-general-and-administrative&ticker=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();