Varonis Systems (VRNS) Cost of Revenue (2013 - 2026)
Varonis Systems (VRNS) recorded Cost of Revenue of $44.51 million in Q2 2026, up 42.4% from $31.25 million a year earlier and up 7.1% from the prior quarter.
Varonis Systems (VRNS) Cost of Revenue (2013 - 2026) Analysis & Trends
On a TTM basis, Varonis Systems' Cost of Revenue came in at $157.79 million as of Jun 30, 2026, up 43.0% year-over-year; for FY2025, it was $131.97 million, up 40.6% from FY2024.
- Annual Cost of Revenue has increased for 13 straight years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $93.85 million in FY2024 (+30.8%), $71.75 million in FY2023 (+2.7%), $69.84 million in FY2022 (+17.6%) and $59.4 million in FY2021 (+34.2%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue in data going back to Q1 2013.
- On a year-over-year basis, Cost of Revenue has increased for 12 consecutive quarters, with growth averaging 40.1% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 46.4% in Q3 2025, against a decline of 2.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $41.57 million (Q1 2026), $36.56 million (Q4 2025) and $35.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Varonis Systems | 5.46 Bn | 2.50 Bn | 135.51 Mn | 44.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.51 Mn |
| Mar 31, 2026 | 41.57 Mn |
| Dec 31, 2025 | 36.56 Mn |
| Sep 30, 2025 | 35.15 Mn |
| Jun 30, 2025 | 31.25 Mn |
| Mar 31, 2025 | 29.02 Mn |
| Dec 31, 2024 | 26.06 Mn |
| Sep 30, 2024 | 24.01 Mn |
| Jun 30, 2024 | 22.44 Mn |
| Mar 31, 2024 | 21.35 Mn |
| Dec 31, 2023 | 19.35 Mn |
| Sep 30, 2023 | 17.38 Mn |
| Jun 30, 2023 | 17.39 Mn |
| Mar 31, 2023 | 17.64 Mn |
| Dec 31, 2022 | 17.03 Mn |
| Sep 30, 2022 | 17.20 Mn |
| Jun 30, 2022 | 17.80 Mn |
| Mar 31, 2022 | 17.81 Mn |
| Dec 31, 2021 | 17.38 Mn |
| Sep 30, 2021 | 14.34 Mn |
Varonis Systems Cost of Revenue 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=cost-of-revenue&ticker=VRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=VRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();