Qualys (QLYS) Operating Leases (2019 - 2026)
Qualys' Operating Leases came in at $44.85 million for Q2 2026, down 7.1% from $48.25 million a year earlier but up 0.5% from the prior quarter.
Analysis
Qualys (QLYS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Qualys' Operating Leases was $44.96 million, up 19.9% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Going back by year, Operating Leases was $37.5 million in FY2024 (+122.1%), $16.89 million in FY2023 (-42.0%), $29.12 million in FY2022 (-18.9%) and $35.91 million in FY2021 (-21.4%).
- The five-year range for quarterly Operating Leases is $16.89 million (Q4 2023) to $48.25 million (Q2 2025).
- Year-over-year, Operating Leases increased in seven of the last eight quarters, with growth averaging 40.8%.
- The fastest year-over-year change in Operating Leases over five years came in Q4 2024 (growth of 122.1%), and the weakest in Q4 2023 (a decline of 42.0%).
- Business Quant data shows QLYS's Operating Leases at $44.61 million (Q1 2026), $44.96 million (Q4 2025) and $47.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Qualys | 6.02 Bn | 4.26 Bn | 151.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.85 Mn |
| Mar 31, 2026 | 44.61 Mn |
| Dec 31, 2025 | 44.96 Mn |
| Sep 30, 2025 | 47.26 Mn |
| Jun 30, 2025 | 48.25 Mn |
| Mar 31, 2025 | 37.65 Mn |
| Dec 31, 2024 | 37.50 Mn |
| Sep 30, 2024 | 38.27 Mn |
| Jun 30, 2024 | 40.44 Mn |
| Mar 31, 2024 | 27.78 Mn |
| Dec 31, 2023 | 16.89 Mn |
| Sep 30, 2023 | 19.66 Mn |
| Jun 30, 2023 | 22.87 Mn |
| Mar 31, 2023 | 25.91 Mn |
| Dec 31, 2022 | 29.12 Mn |
| Sep 30, 2022 | 28.91 Mn |
| Jun 30, 2022 | 31.34 Mn |
| Mar 31, 2022 | 33.28 Mn |
| Dec 31, 2021 | 35.91 Mn |
| Sep 30, 2021 | 37.32 Mn |
API Access
Qualys Operating Leases 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=operating-leases&ticker=QLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();