Qualys (QLYS) Capital Expenditures (2011 - 2026)
Qualys (QLYS) posted Capital Expenditures of $3.7 million for Q2 2026, up 178.8% from $1.33 million a year earlier and up 122.0% from the prior quarter.
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Analysis
Qualys (QLYS) Capital Expenditures (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Qualys was $6.99 million, down 44.6% year-over-year; for FY2025, it came in at $4.99 million, down 59.5% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -30.2% (FY2020 to FY2025).
- In prior years, Qualys' Capital Expenditures was $12.33 million in FY2024 (+40.4%), $8.79 million in FY2023 (-42.8%), $15.36 million in FY2022 (-37.1%) and $24.42 million in FY2021 (-18.7%).
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures since Q4 2024.
- On a year-over-year basis, Capital Expenditures increased in four of the last eight quarters, with growth averaging 50.1%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2024, with growth of 283.3%; the weakest was Q4 2025, with a decline of 87.6%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $1.67 million (Q1 2026), $724,000 (Q4 2025) and $901,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Qualys | 6.49 Bn | 4.72 Bn | 151.93 Mn | 3.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.70 Mn |
| Mar 31, 2026 | 1.67 Mn |
| Dec 31, 2025 | 724,000.00 |
| Sep 30, 2025 | 901,000.00 |
| Jun 30, 2025 | 1.33 Mn |
| Mar 31, 2025 | 2.04 Mn |
| Dec 31, 2024 | 5.84 Mn |
| Sep 30, 2024 | 3.42 Mn |
| Jun 30, 2024 | 1.03 Mn |
| Mar 31, 2024 | 2.05 Mn |
| Dec 31, 2023 | 1.52 Mn |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 1.42 Mn |
| Mar 31, 2023 | 4.04 Mn |
| Dec 31, 2022 | 2.97 Mn |
| Sep 30, 2022 | 1.24 Mn |
| Jun 30, 2022 | 3.51 Mn |
| Mar 31, 2022 | 7.64 Mn |
| Dec 31, 2021 | 4.34 Mn |
| Sep 30, 2021 | 7.18 Mn |
API Access
Qualys Capital Expenditures 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=capital-expenditures&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();