Qualys (QLYS) Total Non-Current Liabilities (2011 - 2026)
Qualys (QLYS) reported Total Non-Current Liabilities of $506.12 million for Q2 2026, up 4.5% from $484.29 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Qualys (QLYS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Qualys posted Total Non-Current Liabilities of $528.58 million, up 7.8% from FY2024.
- Total Non-Current Liabilities has increased for 13 consecutive years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $490.16 million in FY2024 (+12.0%), $437.76 million in FY2023 (+8.1%), $404.8 million in FY2022 (+8.5%) and $372.95 million in FY2021 (+12.3%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $349.54 million in Q3 2021 and a high of $528.58 million in Q4 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 51 quarters, with growth averaging 8.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 3.4% in Q2 2024 to 15.5% in Q1 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $519.19 million (Q1 2026), $528.58 million (Q4 2025) and $495.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Qualys | 6.49 Bn | 4.72 Bn | 151.93 Mn | 506.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 506.12 Mn |
| Mar 31, 2026 | 519.19 Mn |
| Dec 31, 2025 | 528.58 Mn |
| Sep 30, 2025 | 495.38 Mn |
| Jun 30, 2025 | 484.29 Mn |
| Mar 31, 2025 | 491.75 Mn |
| Dec 31, 2024 | 490.16 Mn |
| Sep 30, 2024 | 449.92 Mn |
| Jun 30, 2024 | 441.08 Mn |
| Mar 31, 2024 | 450.16 Mn |
| Dec 31, 2023 | 437.76 Mn |
| Sep 30, 2023 | 422.43 Mn |
| Jun 30, 2023 | 426.77 Mn |
| Mar 31, 2023 | 400.80 Mn |
| Dec 31, 2022 | 404.80 Mn |
| Sep 30, 2022 | 387.12 Mn |
| Jun 30, 2022 | 387.08 Mn |
| Mar 31, 2022 | 382.94 Mn |
| Dec 31, 2021 | 372.95 Mn |
| Sep 30, 2021 | 349.54 Mn |
API Access
Qualys Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();