Varonis Systems (VRNS) Total Non-Current Liabilities (2013 - 2026)
Varonis Systems' Total Non-Current Liabilities was $605.73 million in Q3 2026, up 14.7% from $528.26 million a year earlier and up 0.3% from the prior quarter.
Varonis Systems (VRNS) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Varonis Systems came in at $534 million, up 7.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $498.73 million in FY2024 (+62.2%), $307.48 million in FY2023 (-1.7%), $312.86 million in FY2022 (+4.2%) and $300.17 million in FY2021 (+7.7%).
- The Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2013.
- Compared with a year earlier, Total Non-Current Liabilities has increased for nine straight quarters, with growth averaging 31.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 66.4%); the worst was Q2 2024 (a decline of 3.1%).
- Per Business Quant data, VRNS's Total Non-Current Liabilities in the three quarters before Q3 2026 was $603.96 million (Q2 2026), $542.45 million (Q1 2026) and $534 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 6.45 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 9.56 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 3.10 Bn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 5.20 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 605.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 605.73 Mn |
| Jun 30, 2026 | 603.96 Mn |
| Mar 31, 2026 | 542.45 Mn |
| Dec 31, 2025 | 534.00 Mn |
| Sep 30, 2025 | 528.26 Mn |
| Jun 30, 2025 | 502.12 Mn |
| Mar 31, 2025 | 499.24 Mn |
| Dec 31, 2024 | 498.73 Mn |
| Sep 30, 2024 | 498.62 Mn |
| Jun 30, 2024 | 301.76 Mn |
| Mar 31, 2024 | 304.12 Mn |
| Dec 31, 2023 | 307.48 Mn |
| Sep 30, 2023 | 309.58 Mn |
| Jun 30, 2023 | 311.43 Mn |
| Mar 31, 2023 | 312.70 Mn |
| Dec 31, 2022 | 312.86 Mn |
| Sep 30, 2022 | 316.77 Mn |
| Jun 30, 2022 | 316.95 Mn |
| Mar 31, 2022 | 319.69 Mn |
| Dec 31, 2021 | 300.17 Mn |
Varonis Systems Total Non-Current 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-non-current-liabilities&ticker=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();