Varonis Systems (VRNS) Total Liabilities (2013 - 2026)
Varonis Systems (VRNS) posted Total Liabilities of $1.23 billion for Q3 2026, up 16.3% from $1.06 billion a year earlier and up 1.9% from the prior quarter.
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Analysis
Varonis Systems (VRNS) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Varonis Systems' Total Liabilities came in at $1.19 billion, down 1.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In prior years, Varonis Systems' Total Liabilities was $1.21 billion in FY2024 (+96.8%), $614.26 million in FY2023 (+13.4%), $541.61 million in FY2022 (+5.8%) and $511.94 million in FY2021 (+11.0%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities since Q2 2025.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with growth averaging 37.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 101.1%; the weakest was Q2 2026, with a decline of 5.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.21 billion (Q2 2026), $1.18 billion (Q1 2026) and $1.19 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 6.54 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 9.70 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 3.12 Bn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 5.27 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 797.71 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 1.23 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.23 Bn |
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 1.27 Bn |
| Mar 31, 2025 | 1.21 Bn |
| Dec 31, 2024 | 1.21 Bn |
| Sep 30, 2024 | 1.09 Bn |
| Jun 30, 2024 | 636.21 Mn |
| Mar 31, 2024 | 601.31 Mn |
| Dec 31, 2023 | 614.26 Mn |
| Sep 30, 2023 | 576.14 Mn |
| Jun 30, 2023 | 566.18 Mn |
| Mar 31, 2023 | 530.04 Mn |
| Dec 31, 2022 | 541.61 Mn |
| Sep 30, 2022 | 526.20 Mn |
| Jun 30, 2022 | 525.86 Mn |
| Mar 31, 2022 | 515.78 Mn |
| Dec 31, 2021 | 511.94 Mn |
API Access
Varonis Systems 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=VRNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VRNS", "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=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();