Qualys (QLYS) EPS (Diluted) (2011 - 2026)
Qualys (QLYS) recorded EPS (Diluted) of $1.50 in Q2 2026, up 15.5% from $1.29 a year earlier and up 5.4% from the prior quarter.
Qualys (QLYS) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a TTM basis, Qualys' EPS (Diluted) came in at $5.90 as of Jun 30, 2026, up 16.4% year-over-year; for FY2025, it was $5.44, up 17.0% from FY2024.
- Annual EPS (Diluted) has increased for four straight years, with a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $4.65 in FY2024 (+15.3%), $4.03 in FY2023 (+46.9%), $2.74 in FY2022 (+55.2%) and $1.77 in FY2021 (-21.1%).
- The Q2 2026 figure is the highest quarterly EPS (Diluted) in data going back to Q1 2011.
- On a year-over-year basis, EPS (Diluted) has increased for 17 consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 76.1% in Q3 2023, against a decline of 6.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.42 (Q1 2026), $1.46 (Q4 2025) and $1.39 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | -0.37 |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 0.82 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.12 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.36 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 0.65 |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 7.94 |
| 10 | Qualys | 6.02 Bn | 4.26 Bn | 151.93 Mn | 1.50 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 |
| Mar 31, 2026 | 1.42 |
| Dec 31, 2025 | 1.46 |
| Sep 30, 2025 | 1.39 |
| Jun 30, 2025 | 1.29 |
| Mar 31, 2025 | 1.29 |
| Dec 31, 2024 | 1.18 |
| Sep 30, 2024 | 1.24 |
| Jun 30, 2024 | 1.17 |
| Mar 31, 2024 | 1.05 |
| Dec 31, 2023 | 1.08 |
| Sep 30, 2023 | 1.24 |
| Jun 30, 2023 | 0.95 |
| Mar 31, 2023 | 0.77 |
| Dec 31, 2022 | 0.72 |
| Sep 30, 2022 | 0.71 |
| Jun 30, 2022 | 0.67 |
| Mar 31, 2022 | 0.64 |
| Dec 31, 2021 | 0.54 |
| Sep 30, 2021 | 0.70 |
Qualys EPS (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=eps-diluted&ticker=QLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();