Qualys (QLYS) Cash & Equivalents (2011 - 2026)
Qualys' Cash & Equivalents came in at $250.29 million for Q2 2026, up 29.0% from $193.98 million a year earlier but down 10.4% from the prior quarter.
Powered by 
Analysis
Qualys (QLYS) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Qualys' Cash & Equivalents was $250.26 million, up 7.8% from FY2024.
- Cash & Equivalents has increased in each of the last five years, with a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $232.18 million in FY2024 (+14.0%), $203.67 million in FY2023 (+17.2%), $173.72 million in FY2022 (+26.5%) and $137.33 million in FY2021 (+85.2%).
- The five-year range for quarterly Cash & Equivalents is $120.97 million (Q2 2022) to $290.67 million (Q1 2025).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 3.8%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 85.2%), and the weakest in Q2 2025 (a decline of 31.0%).
- Business Quant data shows QLYS's Cash & Equivalents at $279.47 million (Q1 2026), $250.26 million (Q4 2025) and $225.25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 928.35 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Qualys | 6.69 Bn | 4.93 Bn | 151.93 Mn | 250.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 250.29 Mn |
| Mar 31, 2026 | 279.47 Mn |
| Dec 31, 2025 | 250.26 Mn |
| Sep 30, 2025 | 225.25 Mn |
| Jun 30, 2025 | 193.98 Mn |
| Mar 31, 2025 | 290.67 Mn |
| Dec 31, 2024 | 232.18 Mn |
| Sep 30, 2024 | 235.43 Mn |
| Jun 30, 2024 | 281.21 Mn |
| Mar 31, 2024 | 273.78 Mn |
| Dec 31, 2023 | 203.67 Mn |
| Sep 30, 2023 | 208.72 Mn |
| Jun 30, 2023 | 186.15 Mn |
| Mar 31, 2023 | 193.85 Mn |
| Dec 31, 2022 | 173.72 Mn |
| Sep 30, 2022 | 193.90 Mn |
| Jun 30, 2022 | 120.97 Mn |
| Mar 31, 2022 | 166.29 Mn |
| Dec 31, 2021 | 137.33 Mn |
| Sep 30, 2021 | 145.74 Mn |
API Access
Qualys Cash & Equivalents 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=cash-and-equivalents&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();