Qualys (QLYS) Return on Equity [ROE] (2012 - 2026)
Qualys' Return on Equity [ROE] was 36.48% in Q2 2026, down 0.29 percentage points from 36.77% a year earlier but up 0.86 percentage points from the prior quarter.
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Analysis
Qualys (QLYS) Return on Equity [ROE] (2012 - 2026) Analysis & Trends
For FY2025, Return on Equity [ROE] at Qualys came in at 38.20%, down 2.89 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of +15.06 percentage points (FY2020 to FY2025).
- In earlier years, Return on Equity [ROE] was 41.09% in FY2024 (-5.03 pp), 46.13% in FY2023 (+16.37 pp), 29.76% in FY2022 (+12.89 pp) and 16.87% in FY2021 (-6.27 pp).
- Quarterly Return on Equity [ROE] has moved between 16.91% (Q4 2021) and 46.43% (Q3 2023) over five years.
- Compared with a year earlier, Return on Equity [ROE] has declined for nine straight quarters, with an average year-over-year change of -3.55 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Equity [ROE] over five years was Q2 2023 (a gain of 19.51 percentage points); the worst was Q3 2024 (a drop of 7.61 percentage points).
- Per Business Quant data, QLYS's Return on Equity [ROE] in the three quarters before Q2 2026 was 35.62% (Q1 2026), 36.37% (Q4 2025) and 36.46% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 1.11% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.60% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 166.87% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -53.23% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 4.25% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 4.27% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 5.53% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.31% |
| 10 | Qualys | 6.49 Bn | 4.72 Bn | 151.93 Mn | 36.48% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.48% |
| Mar 31, 2026 | 35.62% |
| Dec 31, 2025 | 36.37% |
| Sep 30, 2025 | 36.46% |
| Jun 30, 2025 | 36.77% |
| Mar 31, 2025 | 37.22% |
| Dec 31, 2024 | 37.48% |
| Sep 30, 2024 | 38.82% |
| Jun 30, 2024 | 41.01% |
| Mar 31, 2024 | 42.00% |
| Dec 31, 2023 | 43.87% |
| Sep 30, 2023 | 46.43% |
| Jun 30, 2023 | 44.20% |
| Mar 31, 2023 | 40.08% |
| Dec 31, 2022 | 33.51% |
| Sep 30, 2022 | 27.00% |
| Jun 30, 2022 | 24.68% |
| Mar 31, 2022 | 22.28% |
| Dec 31, 2021 | 16.91% |
| Sep 30, 2021 | 18.33% |
API Access
Qualys Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();