Qualys (QLYS) Non-Current Deffered Revenue (2011 - 2026)
Qualys (QLYS) recorded Non-Current Deffered Revenue of $14.24 million in Q2 2026, down 26.0% from $19.23 million a year earlier and down 7.7% from the prior quarter.
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Analysis
Qualys (QLYS) Non-Current Deffered Revenue (2011 - 2026) Analysis & Trends
At the end of FY2025, Qualys reported Non-Current Deffered Revenue of $16.29 million, down 33.0% from FY2024.
- Annual Non-Current Deffered Revenue has a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- Across earlier years, Non-Current Deffered Revenue came in at $24.3 million in FY2024 (-23.3%), $31.7 million in FY2023 (+34.9%), $23.5 million in FY2022 (-28.1%) and $32.7 million in FY2021 (+7.2%).
- The Q2 2026 figure is the lowest quarterly Non-Current Deffered Revenue since Q2 2018.
- On a year-over-year basis, Non-Current Deffered Revenue has declined for nine consecutive quarters, with an average decline of 29.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Deffered Revenue in the last five years was growth of 43.7% in Q3 2021, against a decline of 33.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.43 million (Q1 2026), $16.29 million (Q4 2025) and $16.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 7.01 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 1.35 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 3.83 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 27.76 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 50.86 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 30.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 385.66 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 445.27 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | - |
| 10 | Qualys | 6.49 Bn | 4.73 Bn | 151.93 Mn | 14.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.24 Mn |
| Mar 31, 2026 | 15.43 Mn |
| Dec 31, 2025 | 16.29 Mn |
| Sep 30, 2025 | 16.34 Mn |
| Jun 30, 2025 | 19.23 Mn |
| Mar 31, 2025 | 22.07 Mn |
| Dec 31, 2024 | 24.30 Mn |
| Sep 30, 2024 | 23.12 Mn |
| Jun 30, 2024 | 28.81 Mn |
| Mar 31, 2024 | 31.31 Mn |
| Dec 31, 2023 | 31.70 Mn |
| Sep 30, 2023 | 32.29 Mn |
| Jun 30, 2023 | 34.77 Mn |
| Mar 31, 2023 | 21.93 Mn |
| Dec 31, 2022 | 23.50 Mn |
| Sep 30, 2022 | 24.18 Mn |
| Jun 30, 2022 | 28.36 Mn |
| Mar 31, 2022 | 31.12 Mn |
| Dec 31, 2021 | 32.70 Mn |
| Sep 30, 2021 | 27.53 Mn |
API Access
Qualys Non-Current Deffered Revenue 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=non-current-deffered-revenue&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();