Qualys (QLYS) Research & Development (2011 - 2026)
Qualys (QLYS) posted Research & Development of $30.69 million for Q2 2026, up 1.4% from $30.25 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Qualys (QLYS) Research & Development (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Qualys was $117.59 million, up 0.8% year-over-year; for FY2025, it was $117.28 million, up 4.9% from FY2024.
- Annual Research & Development has increased for 15 consecutive years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In prior years, Qualys' Research & Development was $111.85 million in FY2024 (+1.2%), $110.47 million in FY2023 (+9.2%), $101.19 million in FY2022 (+24.5%) and $81.29 million in FY2021 (+12.0%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q1 2011.
- On a year-over-year basis, Research & Development increased in seven of the last eight quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2022, with growth of 30.2%; the weakest was Q4 2023, with a decline of 1.2%.
- According to Business Quant data, Research & Development for the three prior quarters was $29.02 million (Q1 2026), $28.95 million (Q4 2025) and $28.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Qualys | 6.02 Bn | 4.26 Bn | 151.93 Mn | 30.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.69 Mn |
| Mar 31, 2026 | 29.02 Mn |
| Dec 31, 2025 | 28.95 Mn |
| Sep 30, 2025 | 28.93 Mn |
| Jun 30, 2025 | 30.25 Mn |
| Mar 31, 2025 | 29.15 Mn |
| Dec 31, 2024 | 28.30 Mn |
| Sep 30, 2024 | 28.90 Mn |
| Jun 30, 2024 | 27.12 Mn |
| Mar 31, 2024 | 27.53 Mn |
| Dec 31, 2023 | 27.47 Mn |
| Sep 30, 2023 | 27.78 Mn |
| Jun 30, 2023 | 27.42 Mn |
| Mar 31, 2023 | 27.80 Mn |
| Dec 31, 2022 | 27.81 Mn |
| Sep 30, 2022 | 25.48 Mn |
| Jun 30, 2022 | 24.79 Mn |
| Mar 31, 2022 | 23.11 Mn |
| Dec 31, 2021 | 22.40 Mn |
| Sep 30, 2021 | 21.34 Mn |
API Access
Qualys 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=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();