Datavault AI (DVLT) Return on Assets [ROA] (2018 - 2026)
Datavault AI's Return on Assets [ROA] was -65.86% in Q2 2026, down 12.13 percentage points from -53.73% a year earlier and down 19.16 percentage points from the prior quarter.
Datavault AI (DVLT) Return on Assets [ROA] (2018 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Datavault AI came in at -42.09%, up 55.41 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of +121.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was -97.51% in FY2024 (+132.55 pp), -230.06% in FY2023 (-125.33 pp), -104.73% in FY2022 (-27.70 pp) and -77.03% in FY2021 (+86.69 pp).
- Quarterly Return on Assets [ROA] has moved between -597.11% (Q2 2024) and -38.22% (Q4 2025) over five years.
- Compared with a year earlier, Return on Assets [ROA] was higher in six of the last eight quarters, with an average year-over-year change of +152.19 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q2 2025 (a gain of 543.37 percentage points); the worst was Q2 2024 (a drop of 463.33 percentage points).
- Per Business Quant data, DVLT's Return on Assets [ROA] in the three quarters before Q2 2026 was -46.71% (Q1 2026), -38.22% (Q4 2025) and -66.33% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 0.65% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 0.68% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 20.44% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -12.62% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 2.45% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 3.20% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 2.74% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -0.80% |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | -65.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -65.86% |
| Mar 31, 2026 | -46.71% |
| Dec 31, 2025 | -38.22% |
| Sep 30, 2025 | -66.33% |
| Jun 30, 2025 | -53.73% |
| Mar 31, 2025 | -64.88% |
| Dec 31, 2024 | -94.64% |
| Sep 30, 2024 | -551.38% |
| Jun 30, 2024 | -597.11% |
| Mar 31, 2024 | -256.84% |
| Dec 31, 2023 | -361.55% |
| Sep 30, 2023 | -219.14% |
| Jun 30, 2023 | -133.77% |
| Mar 31, 2023 | -109.60% |
| Dec 31, 2022 | -140.31% |
| Sep 30, 2022 | -132.32% |
| Jun 30, 2022 | -90.08% |
| Mar 31, 2022 | -68.38% |
| Dec 31, 2021 | -57.23% |
| Sep 30, 2021 | -65.56% |
Datavault AI Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();