Qualys (QLYS) Other Operating Expenses (2011 - 2026)
Qualys' Other Operating Expenses came in at $41.02 million for Q2 2026, up 14.6% from $35.81 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Qualys (QLYS) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Qualys reported Other Operating Expenses of $154.82 million, up 14.5% year-over-year; for FY2025, it was $143.51 million, up 11.8% from FY2024.
- Other Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $128.3 million in FY2024 (+14.9%), $111.69 million in FY2023 (+14.9%), $97.22 million in FY2022 (+27.1%) and $76.49 million in FY2021 (+12.5%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2011.
- Year-over-year, Other Operating Expenses has increased for 21 consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 6.6% (Q4 2024) to 34.9% (Q3 2022).
- Business Quant data shows QLYS's Other Operating Expenses at $38.76 million (Q1 2026), $39.76 million (Q4 2025) and $35.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Qualys | 6.49 Bn | 4.72 Bn | 151.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.02 Mn |
| Mar 31, 2026 | 38.76 Mn |
| Dec 31, 2025 | 39.76 Mn |
| Sep 30, 2025 | 35.28 Mn |
| Jun 30, 2025 | 35.81 Mn |
| Mar 31, 2025 | 32.66 Mn |
| Dec 31, 2024 | 34.06 Mn |
| Sep 30, 2024 | 32.69 Mn |
| Jun 30, 2024 | 32.15 Mn |
| Mar 31, 2024 | 29.41 Mn |
| Dec 31, 2023 | 31.94 Mn |
| Sep 30, 2023 | 27.88 Mn |
| Jun 30, 2023 | 26.24 Mn |
| Mar 31, 2023 | 25.63 Mn |
| Dec 31, 2022 | 28.30 Mn |
| Sep 30, 2022 | 25.05 Mn |
| Jun 30, 2022 | 23.73 Mn |
| Mar 31, 2022 | 20.14 Mn |
| Dec 31, 2021 | 22.16 Mn |
| Sep 30, 2021 | 18.57 Mn |
API Access
Qualys Other Operating Expenses 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=other-operating-expenses&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();