VirnetX Holding (VHC) Total Liabilities (2010 - 2026)
VirnetX Holding (VHC) posted Total Liabilities of $7.91 million for Q2 2026, down 8.5% from $8.65 million a year earlier but up 0.9% from the prior quarter.
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Analysis
VirnetX Holding (VHC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, VirnetX Holding's Total Liabilities came in at $8.59 million, down 14.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, VirnetX Holding's Total Liabilities was $9.99 million in FY2024 (+127.0%), $4.4 million in FY2023 (+501.8%), $731,000 in FY2022 (-31.5%) and $1.07 million in FY2021 (-89.7%).
- Quarterly Total Liabilities has run from a low of $731,000 in Q4 2022 to a high of $73.52 million in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last six quarters, with growth averaging 72.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2024, with growth of 530.5%; the weakest was Q1 2022, with a decline of 97.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $7.84 million (Q1 2026), $8.59 million (Q4 2025) and $8.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | VirnetX Holding | 43.14 Mn | 43.14 Mn | - | 7.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.91 Mn |
| Mar 31, 2026 | 7.84 Mn |
| Dec 31, 2025 | 8.59 Mn |
| Sep 30, 2025 | 8.69 Mn |
| Jun 30, 2025 | 8.65 Mn |
| Mar 31, 2025 | 8.75 Mn |
| Dec 31, 2024 | 9.99 Mn |
| Sep 30, 2024 | 10.09 Mn |
| Jun 30, 2024 | 10.14 Mn |
| Mar 31, 2024 | 10.09 Mn |
| Dec 31, 2023 | 4.40 Mn |
| Sep 30, 2023 | 1.60 Mn |
| Jun 30, 2023 | 813,000.00 |
| Mar 31, 2023 | 73.52 Mn |
| Dec 31, 2022 | 731,000.00 |
| Sep 30, 2022 | 1.90 Mn |
| Jun 30, 2022 | 756,000.00 |
| Mar 31, 2022 | 1.07 Mn |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 3.90 Mn |
API Access
VirnetX Holding Total Liabilities 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=total-liabilities&ticker=VHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();