Varonis Systems (VRNS) Property, Plant & Equipment (Net) (2013 - 2026)
Varonis Systems' Property, Plant & Equipment (Net) was $38.75 million in Q3 2026, up 11.6% from $34.74 million a year earlier but down 3.9% from the prior quarter.
Varonis Systems (VRNS) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Varonis Systems came in at $36.03 million, up 17.0% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $30.8 million in FY2024 (-9.3%), $33.96 million in FY2023 (-13.0%), $39.04 million in FY2022 (+1.9%) and $38.3 million in FY2021 (+3.1%).
- Quarterly Property, Plant & Equipment (Net) has moved between $28.91 million (Q3 2024) and $40.31 million (Q2 2026) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for six straight quarters, with growth averaging 12.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2026 (growth of 27.3%); the worst was Q2 2024 (a decline of 17.8%).
- Per Business Quant data, VRNS's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $40.31 million (Q2 2026), $39.57 million (Q1 2026) and $36.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 207.98 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 1.73 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 438.17 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 753.00 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 33.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 341.51 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 38.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.75 Mn |
| Jun 30, 2026 | 40.31 Mn |
| Mar 31, 2026 | 39.57 Mn |
| Dec 31, 2025 | 36.03 Mn |
| Sep 30, 2025 | 34.74 Mn |
| Jun 30, 2025 | 33.09 Mn |
| Mar 31, 2025 | 31.08 Mn |
| Dec 31, 2024 | 30.80 Mn |
| Sep 30, 2024 | 28.91 Mn |
| Jun 30, 2024 | 30.08 Mn |
| Mar 31, 2024 | 31.73 Mn |
| Dec 31, 2023 | 33.96 Mn |
| Sep 30, 2023 | 34.40 Mn |
| Jun 30, 2023 | 36.60 Mn |
| Mar 31, 2023 | 37.64 Mn |
| Dec 31, 2022 | 39.04 Mn |
| Sep 30, 2022 | 38.19 Mn |
| Jun 30, 2022 | 39.64 Mn |
| Mar 31, 2022 | 39.50 Mn |
| Dec 31, 2021 | 38.30 Mn |
Varonis Systems Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();