Qualys (QLYS) EBITDA (2011 - 2026)
Qualys (QLYS) recorded EBITDA of $64.96 million in Q2 2026, up 17.3% from $55.39 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Qualys (QLYS) EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Qualys' EBITDA came in at $254.02 million as of Jun 30, 2026, up 18.6% year-over-year; for FY2025, it came in at $236.44 million, up 14.9% from FY2024.
- Annual EBITDA has increased for four straight years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $205.71 million in FY2024 (+8.2%), $190.06 million in FY2023 (+15.1%), $165.17 million in FY2022 (+33.7%) and $123.58 million in FY2021 (-4.6%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q4 2011.
- On a year-over-year basis, EBITDA has increased for seven consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 567.1% in Q1 2022, against a decline of 1.9% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $63.93 million (Q1 2026), $61.97 million (Q4 2025) and $63.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 79.24 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 166.00 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 | 64.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.96 Mn |
| Mar 31, 2026 | 63.93 Mn |
| Dec 31, 2025 | 61.97 Mn |
| Sep 30, 2025 | 63.15 Mn |
| Jun 30, 2025 | 55.39 Mn |
| Mar 31, 2025 | 55.93 Mn |
| Dec 31, 2024 | 53.52 Mn |
| Sep 30, 2024 | 49.35 Mn |
| Jun 30, 2024 | 52.85 Mn |
| Mar 31, 2024 | 50.00 Mn |
| Dec 31, 2023 | 47.32 Mn |
| Sep 30, 2023 | 50.29 Mn |
| Jun 30, 2023 | 49.83 Mn |
| Mar 31, 2023 | 42.62 Mn |
| Dec 31, 2022 | 39.52 Mn |
| Sep 30, 2022 | 41.57 Mn |
| Jun 30, 2022 | 41.56 Mn |
| Mar 31, 2022 | 42.52 Mn |
| Dec 31, 2021 | 38.19 Mn |
| Sep 30, 2021 | 40.86 Mn |
API Access
Qualys EBITDA 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=ebitda&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();