Qualys (QLYS) Shares Outstanding (Diluted) (2011 - 2026)
Qualys (QLYS) reported Shares Outstanding (Diluted) of 35.03 million for Q2 2026, down 4.1% from 36.52 million a year earlier and down 1.8% from the prior quarter.
Qualys (QLYS) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2025, Qualys posted Shares Outstanding (Diluted) of 36.45 million, down 2.4% from FY2024.
- Shares Outstanding (Diluted) has declined for seven consecutive years, with a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 37.35 million in FY2024 (-0.7%), 37.6 million in FY2023 (-4.4%), 39.34 million in FY2022 (-1.9%) and 40.12 million in FY2021 (-1.7%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q1 2014.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last eight quarters, with an average decline of 2.3% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2024 (growth of 0.1%); the low point was Q1 2023 (a decline of 5.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 35.68 million (Q1 2026), 36.45 million (Q4 2025) and 36.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 160.22 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 82.00 Mn |
| 10 | Qualys | 6.69 Bn | 4.93 Bn | 151.93 Mn | 35.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.03 Mn |
| Mar 31, 2026 | 35.68 Mn |
| Dec 31, 2025 | 36.45 Mn |
| Sep 30, 2025 | 36.29 Mn |
| Jun 30, 2025 | 36.52 Mn |
| Mar 31, 2025 | 36.78 Mn |
| Dec 31, 2024 | 37.35 Mn |
| Sep 30, 2024 | 37.14 Mn |
| Jun 30, 2024 | 37.46 Mn |
| Mar 31, 2024 | 37.72 Mn |
| Dec 31, 2023 | 37.60 Mn |
| Sep 30, 2023 | 37.45 Mn |
| Jun 30, 2023 | 37.44 Mn |
| Mar 31, 2023 | 37.67 Mn |
| Dec 31, 2022 | 39.34 Mn |
| Sep 30, 2022 | 39.22 Mn |
| Jun 30, 2022 | 39.69 Mn |
| Mar 31, 2022 | 40.00 Mn |
| Dec 31, 2021 | 40.12 Mn |
| Sep 30, 2021 | 39.94 Mn |
Qualys Shares Outstanding (Diluted) 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-diluted&ticker=QLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();