Datavault AI (DVLT) Return on Equity [ROE] (2018 - 2026)
Datavault AI (DVLT) recorded Return on Equity [ROE] of -74.46% in Q2 2026, up 0.18 percentage points from -74.64% a year earlier but down 20.94 percentage points from the prior quarter.
Datavault AI (DVLT) Return on Equity [ROE] (2018 - 2026) Analysis & Trends
For FY2025, Datavault AI reported Return on Equity [ROE] of -48.81%, up 78.81 percentage points from FY2024.
- Annual Return on Equity [ROE] has a five-year change of +272.43 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Equity [ROE] came in at -127.61% in FY2024, -224.62% in FY2022 (-124.84 pp) and -99.78% in FY2021 (+221.46 pp).
- Quarterly Return on Equity [ROE] has ranged from -2788.19% in Q2 2024 to -46.81% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Equity [ROE] has increased for five consecutive quarters, with an average year-over-year change of +529.07 percentage points over the last six quarters.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 2713.55 percentage points in Q2 2025, against a drop of 2577.01 percentage points in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -53.52% (Q1 2026), -46.81% (Q4 2025) and -99.11% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 1.11% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.60% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 166.87% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -53.23% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 4.25% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 4.27% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 5.53% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.31% |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | -74.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -74.46% |
| Mar 31, 2026 | -53.52% |
| Dec 31, 2025 | -46.81% |
| Sep 30, 2025 | -99.11% |
| Jun 30, 2025 | -74.64% |
| Mar 31, 2025 | -76.07% |
| Dec 31, 2024 | -114.22% |
| Sep 30, 2024 | -958.75% |
| Jun 30, 2024 | -2,788.19% |
| Sep 30, 2023 | -469.85% |
| Jun 30, 2023 | -211.19% |
| Mar 31, 2023 | -456.67% |
| Dec 31, 2022 | -962.51% |
| Sep 30, 2022 | -213.49% |
| Jun 30, 2022 | -117.50% |
| Mar 31, 2022 | -84.68% |
| Dec 31, 2021 | -66.83% |
| Sep 30, 2021 | -80.89% |
| Jun 30, 2021 | -123.57% |
| Mar 31, 2021 | -154.53% |
Datavault AI Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=DVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();