Qualys (QLYS) Return on Capital Employed [ROCE] (2012 - 2026)
Qualys (QLYS) posted Return on Capital Employed [ROCE] of 37.90% for Q2 2026, up 3.91 percentage points from 33.99% a year earlier and up 1.55 percentage points from the prior quarter.
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Analysis
Qualys (QLYS) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2025, Qualys' Return on Capital Employed [ROCE] came in at 39.15%, down 1.14 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +17.69 percentage points (FY2020 to FY2025).
- In prior years, Qualys' Return on Capital Employed [ROCE] was 40.28% in FY2024 (-4.08 pp), 44.36% in FY2023 (+12.17 pp), 32.19% in FY2022 (+13.59 pp) and 18.60% in FY2021 (-2.86 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last four quarters, with an average year-over-year change of -1.29 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2023, with a gain of 17.01 percentage points; the weakest was Q2 2024, with a drop of 8.13 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 36.35% (Q1 2026), 37.23% (Q4 2025) and 36.39% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Qualys | 6.69 Bn | 4.93 Bn | 151.93 Mn | 37.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.90% |
| Mar 31, 2026 | 36.35% |
| Dec 31, 2025 | 37.23% |
| Sep 30, 2025 | 36.39% |
| Jun 30, 2025 | 33.99% |
| Mar 31, 2025 | 35.12% |
| Dec 31, 2024 | 36.52% |
| Sep 30, 2024 | 35.57% |
| Jun 30, 2024 | 35.77% |
| Mar 31, 2024 | 38.70% |
| Dec 31, 2023 | 41.49% |
| Sep 30, 2023 | 42.27% |
| Jun 30, 2023 | 43.90% |
| Mar 31, 2023 | 39.41% |
| Dec 31, 2022 | 35.08% |
| Sep 30, 2022 | 29.69% |
| Jun 30, 2022 | 26.89% |
| Mar 31, 2022 | 24.98% |
| Dec 31, 2021 | 18.23% |
| Sep 30, 2021 | 17.97% |
API Access
Qualys Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();