Qualys (QLYS) Shares Outstanding (Entity) (2011 - 2026)
Qualys (QLYS) posted Shares Outstanding (Entity) of 34.65 million for Q2 2026, down 4.1% from 36.13 million a year earlier and down 2.1% from the prior quarter.
Qualys (QLYS) Shares Outstanding (Entity) (2011 - 2026) Analysis & Trends
For FY2025, Qualys' Shares Outstanding (Entity) came in at 35.73 million, down 2.1% from FY2024.
- Annual Shares Outstanding (Entity) has declined for five consecutive years, with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, Qualys' Shares Outstanding (Entity) was 36.5 million in FY2024 (-1.1%), 36.91 million in FY2023 (-1.2%), 37.36 million in FY2022 (-4.5%) and 39.11 million in FY2021 (-0.4%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q4 2015.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last eight quarters, with an average decline of 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q2 2024, with growth of 0.3%; the weakest was Q1 2023, with a decline of 5.0%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 35.38 million (Q1 2026), 35.73 million (Q4 2025) and 35.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 815.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.60 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 352.46 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 358.96 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 167.14 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 81.24 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 163.06 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Qualys | 6.49 Bn | 4.72 Bn | 151.93 Mn | 34.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.65 Mn |
| Mar 31, 2026 | 35.38 Mn |
| Dec 31, 2025 | 35.73 Mn |
| Sep 30, 2025 | 35.91 Mn |
| Jun 30, 2025 | 36.13 Mn |
| Mar 31, 2025 | 36.40 Mn |
| Dec 31, 2024 | 36.50 Mn |
| Sep 30, 2024 | 36.64 Mn |
| Jun 30, 2024 | 36.85 Mn |
| Mar 31, 2024 | 36.96 Mn |
| Dec 31, 2023 | 36.91 Mn |
| Sep 30, 2023 | 36.80 Mn |
| Jun 30, 2023 | 36.75 Mn |
| Mar 31, 2023 | 36.93 Mn |
| Dec 31, 2022 | 37.36 Mn |
| Sep 30, 2022 | 38.12 Mn |
| Jun 30, 2022 | 38.52 Mn |
| Mar 31, 2022 | 38.88 Mn |
| Dec 31, 2021 | 39.11 Mn |
| Sep 30, 2021 | 38.82 Mn |
Qualys Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=QLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();