Varonis Systems (VRNS) Research & Development (2013 - 2026)
Varonis Systems' Research & Development came in at $78.67 million for Q3 2026, up 25.4% from $62.74 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Varonis Systems (VRNS) Research & Development (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Varonis Systems reported Research & Development of $286.39 million, up 28.0% year-over-year; for FY2025, it came in at $237.81 million, up 20.9% from FY2024.
- Research & Development has increased in each of the last 13 years, with a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- Going back by year, Research & Development was $196.77 million in FY2024 (+7.0%), $183.84 million in FY2023 (+3.3%), $177.88 million in FY2022 (+29.0%) and $137.88 million in FY2021 (+38.8%).
- The Q3 2026 figure represents the highest quarterly Research & Development in data going back to Q1 2013.
- Year-over-year, Research & Development has increased for nine consecutive quarters, with growth averaging 21.6% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q1 2022 (growth of 44.9%), and the weakest in Q2 2024 (a decline of 2.6%).
- Business Quant data shows VRNS's Research & Development at $73.34 million (Q2 2026), $69.76 million (Q1 2026) and $64.62 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 567.48 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 213.40 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 491.57 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 241.48 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 213.87 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 78.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 78.67 Mn |
| Jun 30, 2026 | 73.34 Mn |
| Mar 31, 2026 | 69.76 Mn |
| Dec 31, 2025 | 64.62 Mn |
| Sep 30, 2025 | 62.74 Mn |
| Jun 30, 2025 | 56.25 Mn |
| Mar 31, 2025 | 54.21 Mn |
| Dec 31, 2024 | 50.55 Mn |
| Sep 30, 2024 | 53.46 Mn |
| Jun 30, 2024 | 44.93 Mn |
| Mar 31, 2024 | 47.83 Mn |
| Dec 31, 2023 | 48.14 Mn |
| Sep 30, 2023 | 44.82 Mn |
| Jun 30, 2023 | 46.14 Mn |
| Mar 31, 2023 | 44.73 Mn |
| Dec 31, 2022 | 45.02 Mn |
| Sep 30, 2022 | 44.48 Mn |
| Jun 30, 2022 | 44.82 Mn |
| Mar 31, 2022 | 43.57 Mn |
| Dec 31, 2021 | 40.14 Mn |
API Access
Varonis Systems Research & Development 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=research-and-development&ticker=VRNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();