Qualys (QLYS) Return on Sales [ROS] (2011 - 2026)
Qualys (QLYS) posted Return on Sales [ROS] of 33.98% for Q2 2026, up 2.65 percentage points from 31.33% a year earlier but down 0.69 percentage points from the prior quarter.
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Analysis
Qualys (QLYS) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Qualys was 34.36%, up 3.36 percentage points year-over-year; for FY2025, it was 33.17%, up 2.36 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +6.54 percentage points (FY2020 to FY2025).
- In prior years, Qualys' Return on Sales [ROS] was 30.81% in FY2024 (+1.40 pp), 29.41% in FY2023 (+2.75 pp), 26.66% in FY2022 (+5.33 pp) and 21.33% in FY2021 (-5.30 pp).
- Quarterly Return on Sales [ROS] has run from a low of 23.44% in Q4 2022 to a high of 35.29% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +1.89 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2022, with a gain of 32.36 percentage points; the weakest was Q3 2022, with a drop of 3.92 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 34.67% (Q1 2026), 33.57% (Q4 2025) and 35.29% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Qualys | 6.69 Bn | 4.93 Bn | 151.93 Mn | 33.98% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.98% |
| Mar 31, 2026 | 34.67% |
| Dec 31, 2025 | 33.57% |
| Sep 30, 2025 | 35.29% |
| Jun 30, 2025 | 31.33% |
| Mar 31, 2025 | 32.37% |
| Dec 31, 2024 | 31.04% |
| Sep 30, 2024 | 29.22% |
| Jun 30, 2024 | 32.32% |
| Mar 31, 2024 | 30.70% |
| Dec 31, 2023 | 28.68% |
| Sep 30, 2023 | 30.70% |
| Jun 30, 2023 | 31.21% |
| Mar 31, 2023 | 26.92% |
| Dec 31, 2022 | 23.44% |
| Sep 30, 2022 | 26.56% |
| Jun 30, 2022 | 27.52% |
| Mar 31, 2022 | 29.57% |
| Dec 31, 2021 | 26.46% |
| Sep 30, 2021 | 30.47% |
API Access
Qualys Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();