Varonis Systems (VRNS) Cost of Revenue (2013 - 2026)
Varonis Systems (VRNS) recorded Cost of Revenue of $46.89 million in Q3 2026, up 33.4% from $35.15 million a year earlier and up 5.3% 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 $169.53 million as of Sep 30, 2026, up 39.6% 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 Q3 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 13 consecutive quarters, with growth averaging 39.5% 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 $44.51 million (Q2 2026), $41.57 million (Q1 2026) and $36.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 510.08 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 437.50 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 237.17 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 208.96 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 164.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 357.94 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Varonis Systems | 5.61 Bn | 2.73 Bn | 142.57 Mn | 46.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.89 Mn |
| 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 |
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();