Varonis Systems (VRNS) Capital Expenditures (2013 - 2026)
Varonis Systems (VRNS) posted Capital Expenditures of $4.38 million for Q2 2026, up 29.7% from $3.38 million a year earlier but down 11.9% from the prior quarter.
Varonis Systems (VRNS) Capital Expenditures (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Varonis Systems was $16.26 million, up 44.0% year-over-year; for FY2025, it came in at $12.63 million, up 88.6% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In prior years, Varonis Systems' Capital Expenditures was $6.69 million in FY2024 (+31.3%), $5.1 million in FY2023 (-55.3%), $11.4 million in FY2022 (+8.6%) and $10.49 million in FY2021 (+3.7%).
- Quarterly Capital Expenditures has run from a low of $297,000 in Q1 2024 to a high of $6.37 million in Q4 2021 over five years.
- On a year-over-year basis, Capital Expenditures increased in seven of the last eight quarters, with growth averaging 204.4%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2025, with growth of 687.5%; the weakest was Q3 2023, with a decline of 77.2%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $4.97 million (Q1 2026), $3.94 million (Q4 2025) and $2.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Varonis Systems | 5.41 Bn | 2.45 Bn | 135.51 Mn | 4.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.38 Mn |
| Mar 31, 2026 | 4.97 Mn |
| Dec 31, 2025 | 3.94 Mn |
| Sep 30, 2025 | 2.97 Mn |
| Jun 30, 2025 | 3.38 Mn |
| Mar 31, 2025 | 2.34 Mn |
| Dec 31, 2024 | 4.35 Mn |
| Sep 30, 2024 | 1.23 Mn |
| Jun 30, 2024 | 819,000.00 |
| Mar 31, 2024 | 297,000.00 |
| Dec 31, 2023 | 2.15 Mn |
| Sep 30, 2023 | 342,000.00 |
| Jun 30, 2023 | 1.49 Mn |
| Mar 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 3.76 Mn |
| Sep 30, 2022 | 1.50 Mn |
| Jun 30, 2022 | 2.64 Mn |
| Mar 31, 2022 | 3.50 Mn |
| Dec 31, 2021 | 6.37 Mn |
| Sep 30, 2021 | 1.97 Mn |
Varonis Systems Capital Expenditures 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=capital-expenditures&ticker=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();