VirnetX Holding (VHC) Return on Capital Employed [ROCE] (2011 - 2026)
VirnetX Holding's Return on Capital Employed [ROCE] was -91.30% in Q2 2026, down 45.43 percentage points from -45.87% a year earlier and down 17.09 percentage points from the prior quarter.
VirnetX Holding (VHC) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at VirnetX Holding came in at -50.74%, down 8.09 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, with a five-year change of -193.26 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -42.66% in FY2024 (-12.83 pp), -29.82% in FY2023 (-16.76 pp), -13.06% in FY2022 (+10.40 pp) and -23.46% in FY2021 (-165.97 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q4 2019.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for five straight quarters, with an average year-over-year change of -9.58 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2022 (a gain of 19.06 percentage points); the worst was Q3 2021 (a drop of 93.37 percentage points).
- Per Business Quant data, VHC's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -74.21% (Q1 2026), -59.82% (Q4 2025) and -51.03% (Q3 2025).
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 | VirnetX Holding | 44.20 Mn | 44.20 Mn | - | -91.30% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -91.30% |
| Mar 31, 2026 | -74.21% |
| Dec 31, 2025 | -59.82% |
| Sep 30, 2025 | -51.03% |
| Jun 30, 2025 | -45.87% |
| Mar 31, 2025 | -42.98% |
| Dec 31, 2024 | -44.92% |
| Sep 30, 2024 | -42.90% |
| Jun 30, 2024 | -42.45% |
| Mar 31, 2024 | -56.08% |
| Dec 31, 2023 | -51.63% |
| Sep 30, 2023 | -49.58% |
| Jun 30, 2023 | -29.07% |
| Mar 31, 2023 | -30.13% |
| Dec 31, 2022 | -13.43% |
| Sep 30, 2022 | -11.99% |
| Jun 30, 2022 | -11.08% |
| Mar 31, 2022 | -10.82% |
| Dec 31, 2021 | -25.95% |
| Sep 30, 2021 | -26.40% |
VirnetX Holding 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=VHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "VHC", "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=VHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();