Datavault AI (DVLT) Return on Capital Employed [ROCE] (2018 - 2026)
Datavault AI (DVLT) posted Return on Capital Employed [ROCE] of -28.80% for Q2 2026, up 4.65 percentage points from -33.44% a year earlier but down 6.24 percentage points from the prior quarter.
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Datavault AI (DVLT) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Datavault AI's Return on Capital Employed [ROCE] came in at -20.20%, up 23.29 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +185.90 percentage points (FY2020 to FY2025).
- In prior years, Datavault AI's Return on Capital Employed [ROCE] was -43.48% in FY2024 (+433.29 pp), -476.77% in FY2023 (-323.17 pp), -153.60% in FY2022 (-60.62 pp) and -92.98% in FY2021 (+113.12 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -1392.41% in Q4 2023 to a high of -18.06% in Q4 2025 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last eight quarters, with an average year-over-year change of +451.63 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2024, with a gain of 1350.31 percentage points; the weakest was Q4 2023, with a drop of 1162.17 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -22.56% (Q1 2026), -18.06% (Q4 2025) and -40.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | -28.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28.80% |
| Mar 31, 2026 | -22.56% |
| Dec 31, 2025 | -18.06% |
| Sep 30, 2025 | -40.73% |
| Jun 30, 2025 | -33.44% |
| Mar 31, 2025 | -28.10% |
| Dec 31, 2024 | -42.10% |
| Sep 30, 2024 | -313.30% |
| Jun 30, 2024 | -393.88% |
| Mar 31, 2024 | -1,293.70% |
| Dec 31, 2023 | -1,392.41% |
| Sep 30, 2023 | -643.20% |
| Jun 30, 2023 | -232.17% |
| Mar 31, 2023 | -227.36% |
| Dec 31, 2022 | -230.24% |
| Sep 30, 2022 | -197.07% |
| Jun 30, 2022 | -117.66% |
| Mar 31, 2022 | -88.42% |
| Dec 31, 2021 | -65.08% |
| Sep 30, 2021 | -75.35% |
API Access
Datavault AI Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();