Datavault AI (DVLT) EBITDA Margin (2017 - 2026)
Datavault AI's EBITDA Margin came in at -344.92% for Q2 2026, up 371.68 percentage points from -716.60% a year earlier and up 468.58 percentage points from the prior quarter.
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Analysis
Datavault AI (DVLT) EBITDA Margin (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datavault AI reported EBITDA Margin of -125.37%, up 575.30 percentage points year-over-year; for FY2025, it was -56.63%, up 731.25 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +408.97 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -787.88% in FY2024 (+237.51 pp), -1025.40% in FY2023 (-492.80 pp), -532.60% in FY2022 (-357.83 pp) and -174.77% in FY2021 (+290.82 pp).
- The five-year range for quarterly EBITDA Margin is -1622.75% (Q1 2024) to 20.47% (Q4 2025).
- Year-over-year, EBITDA Margin has increased for three consecutive quarters, with an average year-over-year change of +431.95 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2025 (a gain of 841.95 percentage points), and the weakest in Q2 2023 (a drop of 666.26 percentage points).
- Business Quant data shows DVLT's EBITDA Margin at -813.50% (Q1 2026), 20.47% (Q4 2025) and -506.65% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 11.58% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 40.40% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -8.70% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 4.19% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 8.76% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 20.62% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | -344.92% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -344.92% |
| Mar 31, 2026 | -813.50% |
| Dec 31, 2025 | 20.47% |
| Sep 30, 2025 | -506.65% |
| Jun 30, 2025 | -716.60% |
| Mar 31, 2025 | -1,130.37% |
| Dec 31, 2024 | -700.78% |
| Sep 30, 2024 | -446.42% |
| Jun 30, 2024 | -1,558.55% |
| Mar 31, 2024 | -1,622.75% |
| Dec 31, 2023 | -1,096.90% |
| Sep 30, 2023 | -821.98% |
| Jun 30, 2023 | -1,096.71% |
| Mar 31, 2023 | -1,230.06% |
| Dec 31, 2022 | -574.34% |
| Sep 30, 2022 | -503.42% |
| Jun 30, 2022 | -430.44% |
| Mar 31, 2022 | -684.10% |
| Dec 31, 2021 | -152.20% |
| Sep 30, 2021 | -160.38% |
API Access
Datavault AI EBITDA Margin 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=ebitda-margin&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();