Qualys (QLYS) Accumulated Expenses (2011 - 2026)
Qualys (QLYS) reported Accumulated Expenses of $49.25 million for Q2 2026, down 6.7% from $52.77 million a year earlier and down 11.2% from the prior quarter.
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Analysis
Qualys (QLYS) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Qualys posted Accumulated Expenses of $57.69 million, up 25.6% from FY2024.
- Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $45.94 million in FY2024 (+6.6%), $43.1 million in FY2023 (+1.2%), $42.59 million in FY2022 (+31.0%) and $32.5 million in FY2021 (+9.0%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2024.
- Year over year, Accumulated Expenses gained in six of the last eight quarters, with growth averaging 11.8%.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2025 (growth of 46.2%); the low point was Q2 2024 (a decline of 31.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $55.44 million (Q1 2026), $57.69 million (Q4 2025) and $51.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | Qualys | 6.49 Bn | 4.73 Bn | 151.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.25 Mn |
| Mar 31, 2026 | 55.44 Mn |
| Dec 31, 2025 | 57.69 Mn |
| Sep 30, 2025 | 51.14 Mn |
| Jun 30, 2025 | 52.77 Mn |
| Mar 31, 2025 | 52.92 Mn |
| Dec 31, 2024 | 45.94 Mn |
| Sep 30, 2024 | 39.96 Mn |
| Jun 30, 2024 | 36.10 Mn |
| Mar 31, 2024 | 48.25 Mn |
| Dec 31, 2023 | 43.10 Mn |
| Sep 30, 2023 | 49.84 Mn |
| Jun 30, 2023 | 52.64 Mn |
| Mar 31, 2023 | 41.78 Mn |
| Dec 31, 2022 | 42.59 Mn |
| Sep 30, 2022 | 42.82 Mn |
| Jun 30, 2022 | 37.99 Mn |
| Mar 31, 2022 | 37.08 Mn |
| Dec 31, 2021 | 32.50 Mn |
| Sep 30, 2021 | 33.88 Mn |
API Access
Qualys Accumulated 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=accumulated-expenses&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();