Datavault AI (DVLT) Return on Sales [ROS] (2017 - 2026)
Datavault AI's Return on Sales [ROS] came in at -393.87% for Q2 2026, up 324.23 percentage points from -718.10% a year earlier and up 512.16 percentage points from the prior quarter.
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Analysis
Datavault AI (DVLT) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datavault AI reported Return on Sales [ROS] of -145.10%, up 608.96 percentage points year-over-year; for FY2025, it came in at -83.08%, up 707.42 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +386.43 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -790.50% in FY2024 (+239.60 pp), -1030.10% in FY2023 (-493.87 pp), -536.23% in FY2022 (-360.24 pp) and -175.98% in FY2021 (+293.53 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1630.59% (Q1 2024) to 12.33% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +415.82 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2025 (a gain of 848.57 percentage points), and the weakest in Q2 2023 (a drop of 670.51 percentage points).
- Business Quant data shows DVLT's Return on Sales [ROS] at -906.03% (Q1 2026), 12.33% (Q4 2025) and -508.13% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | -393.87% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -393.87% |
| Mar 31, 2026 | -906.03% |
| Dec 31, 2025 | 12.33% |
| Sep 30, 2025 | -508.13% |
| Jun 30, 2025 | -718.10% |
| Mar 31, 2025 | -1,499.36% |
| Dec 31, 2024 | -702.00% |
| Sep 30, 2024 | -447.35% |
| Jun 30, 2024 | -1,566.67% |
| Mar 31, 2024 | -1,630.59% |
| Dec 31, 2023 | -1,100.71% |
| Sep 30, 2023 | -824.32% |
| Jun 30, 2023 | -1,104.24% |
| Mar 31, 2023 | -1,237.10% |
| Dec 31, 2022 | -577.73% |
| Sep 30, 2022 | -506.72% |
| Jun 30, 2022 | -433.72% |
| Mar 31, 2022 | -689.22% |
| Dec 31, 2021 | -153.20% |
| Sep 30, 2021 | -161.48% |
API Access
Datavault AI Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();