Qualys (QLYS) Operating Income (2011 - 2026)
Qualys (QLYS) posted Operating Income of $61.9 million for Q2 2026, up 20.4% from $51.41 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Qualys (QLYS) Operating Income (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Qualys was $241.58 million, up 22.3% year-over-year; for FY2025, it was $221.95 million, up 18.6% from FY2024.
- Annual Operating Income has increased for four consecutive years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In prior years, Qualys' Operating Income was $187.2 million in FY2024 (+14.8%), $163.07 million in FY2023 (+24.9%), $130.55 million in FY2022 (+48.9%) and $87.68 million in FY2021 (-9.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Income in data going back to Q1 2011.
- On a year-over-year basis, Operating Income has increased in each of the last 17 quarters, with growth averaging 16.9% over the last eight quarters.
- The year-over-year growth in Operating Income has ranged between 3.1% (Q3 2024) and 35.2% (Q4 2023) over the last five years.
- According to Business Quant data, Operating Income for the three prior quarters was $60.89 million (Q1 2026), $58.84 million (Q4 2025) and $59.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 172.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -33.23 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 689.30 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -262.97 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 5.46 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 107.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 46.78 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 28.40 Mn |
| 10 | Qualys | 6.69 Bn | 4.93 Bn | 151.93 Mn | 61.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.90 Mn |
| Mar 31, 2026 | 60.89 Mn |
| Dec 31, 2025 | 58.84 Mn |
| Sep 30, 2025 | 59.96 Mn |
| Jun 30, 2025 | 51.41 Mn |
| Mar 31, 2025 | 51.76 Mn |
| Dec 31, 2024 | 49.41 Mn |
| Sep 30, 2024 | 44.95 Mn |
| Jun 30, 2024 | 48.07 Mn |
| Mar 31, 2024 | 44.76 Mn |
| Dec 31, 2023 | 41.47 Mn |
| Sep 30, 2023 | 43.60 Mn |
| Jun 30, 2023 | 42.83 Mn |
| Mar 31, 2023 | 35.18 Mn |
| Dec 31, 2022 | 30.67 Mn |
| Sep 30, 2022 | 33.35 Mn |
| Jun 30, 2022 | 32.99 Mn |
| Mar 31, 2022 | 33.54 Mn |
| Dec 31, 2021 | 29.05 Mn |
| Sep 30, 2021 | 31.98 Mn |
API Access
Qualys Operating Income 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=operating-income&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();