Qualys (QLYS) Revenue (2011 - 2026)
Qualys (QLYS) posted Revenue of $182.18 million for Q2 2026, up 11.0% from $164.06 million a year earlier and up 3.7% from the prior quarter.
Powered by 
Analysis
Qualys (QLYS) Revenue (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Qualys was $702.98 million, up 10.4% year-over-year; for FY2025, it came in at $669.13 million, up 10.1% from FY2024.
- Annual Revenue has increased for nine consecutive years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Qualys' Revenue was $607.57 million in FY2024 (+9.6%), $554.46 million in FY2023 (+13.2%), $489.72 million in FY2022 (+19.1%) and $411.17 million in FY2021 (+13.3%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q1 2011.
- On a year-over-year basis, Revenue has increased in each of the last 58 quarters, with growth averaging 10.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 8.4% in Q3 2024 to 20.3% in Q2 2022.
- According to Business Quant data, Revenue for the three prior quarters was $175.64 million (Q1 2026), $175.28 million (Q4 2025) and $169.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | Qualys | 6.02 Bn | 4.26 Bn | 151.93 Mn | 182.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 182.18 Mn |
| Mar 31, 2026 | 175.64 Mn |
| Dec 31, 2025 | 175.28 Mn |
| Sep 30, 2025 | 169.88 Mn |
| Jun 30, 2025 | 164.06 Mn |
| Mar 31, 2025 | 159.90 Mn |
| Dec 31, 2024 | 159.19 Mn |
| Sep 30, 2024 | 153.87 Mn |
| Jun 30, 2024 | 148.71 Mn |
| Mar 31, 2024 | 145.81 Mn |
| Dec 31, 2023 | 144.57 Mn |
| Sep 30, 2023 | 142.00 Mn |
| Jun 30, 2023 | 137.21 Mn |
| Mar 31, 2023 | 130.68 Mn |
| Dec 31, 2022 | 130.85 Mn |
| Sep 30, 2022 | 125.56 Mn |
| Jun 30, 2022 | 119.89 Mn |
| Mar 31, 2022 | 113.42 Mn |
| Dec 31, 2021 | 109.78 Mn |
| Sep 30, 2021 | 104.93 Mn |
API Access
Qualys 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=revenue&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "QLYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();