Datavault AI (DVLT) FCF Margin (2017 - 2026)
Datavault AI (DVLT) posted FCF Margin of -1065.82% for Q2 2026, down 673.48 percentage points from -392.33% a year earlier and down 802.62 percentage points from the prior quarter.
Datavault AI (DVLT) FCF Margin (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, FCF Margin at Datavault AI was -195.67%, up 286.05 percentage points year-over-year; for FY2025, it came in at -61.37%, up 595.36 percentage points from FY2024.
- Annual FCF Margin shows a five-year change of +350.90 percentage points (FY2020 to FY2025).
- In prior years, Datavault AI's FCF Margin was -656.73% in FY2024 (+57.43 pp), -714.16% in FY2023 (-192.41 pp), -521.75% in FY2022 (-344.30 pp) and -177.45% in FY2021 (+234.82 pp).
- The Q2 2026 figure stands as the lowest quarterly FCF Margin since Q2 2024.
- On a year-over-year basis, FCF Margin increased in seven of the last eight quarters, with an average year-over-year change of +292.75 percentage points.
- The strongest year-over-year quarter for FCF Margin in the past five years was Q2 2025, with a gain of 1207.38 percentage points; the weakest was Q2 2026, with a drop of 673.48 percentage points.
- According to Business Quant data, FCF Margin for the three prior quarters was -263.20% (Q1 2026), -2.17% (Q4 2025) and -357.20% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 36.77% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 27.59% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 47.15% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.42% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 27.28% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | -0.11% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 28.94% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 47.16% |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | -1,065.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,065.82% |
| Mar 31, 2026 | -263.20% |
| Dec 31, 2025 | -2.17% |
| Sep 30, 2025 | -357.20% |
| Jun 30, 2025 | -392.33% |
| Mar 31, 2025 | -965.98% |
| Dec 31, 2024 | -471.95% |
| Sep 30, 2024 | -361.69% |
| Jun 30, 2024 | -1,599.71% |
| Mar 31, 2024 | -1,390.59% |
| Dec 31, 2023 | -648.81% |
| Sep 30, 2023 | -391.29% |
| Jun 30, 2023 | -1,061.18% |
| Mar 31, 2023 | -987.63% |
| Dec 31, 2022 | -504.91% |
| Sep 30, 2022 | -490.72% |
| Jun 30, 2022 | -453.81% |
| Mar 31, 2022 | -713.96% |
| Dec 31, 2021 | -147.35% |
| Sep 30, 2021 | -182.40% |
Datavault AI FCF 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=fcf-margin&ticker=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();