Varonis Systems (VRNS) Non-Current Assets (2013 - 2026)
Varonis Systems' Non-Current Assets was $746.57 million in Q3 2026, up 6.1% from $703.62 million a year earlier and up 13.6% from the prior quarter.
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Analysis
Varonis Systems (VRNS) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Varonis Systems came in at $493.06 million, down 37.3% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $786.2 million in FY2024 (+133.5%), $336.75 million in FY2023 (+143.9%), $138.08 million in FY2022 (-7.5%) and $149.33 million in FY2021 (+10.1%).
- The Q3 2026 figure marks the highest quarterly Non-Current Assets since Q1 2025.
- Compared with a year earlier, Non-Current Assets was higher in six of the last eight quarters, with growth averaging 46.1%.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2024 (growth of 155.7%); the worst was Q4 2025 (a decline of 37.3%).
- Per Business Quant data, VRNS's Non-Current Assets in the three quarters before Q3 2026 was $657.44 million (Q2 2026), $553.54 million (Q1 2026) and $493.06 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 5.20 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 4.83 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 1.61 Bn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 2.84 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 4.48 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 651.70 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 746.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 746.57 Mn |
| Jun 30, 2026 | 657.44 Mn |
| Mar 31, 2026 | 553.54 Mn |
| Dec 31, 2025 | 493.06 Mn |
| Sep 30, 2025 | 703.62 Mn |
| Jun 30, 2025 | 546.65 Mn |
| Mar 31, 2025 | 759.00 Mn |
| Dec 31, 2024 | 786.20 Mn |
| Sep 30, 2024 | 446.79 Mn |
| Jun 30, 2024 | 278.67 Mn |
| Mar 31, 2024 | 345.90 Mn |
| Dec 31, 2023 | 336.75 Mn |
| Sep 30, 2023 | 334.63 Mn |
| Jun 30, 2023 | 131.57 Mn |
| Mar 31, 2023 | 135.28 Mn |
| Dec 31, 2022 | 138.08 Mn |
| Sep 30, 2022 | 141.92 Mn |
| Jun 30, 2022 | 145.70 Mn |
| Mar 31, 2022 | 148.06 Mn |
| Dec 31, 2021 | 149.33 Mn |
API Access
Varonis Systems Non-Current Assets 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=non-current-assets&ticker=VRNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();