Qualys (QLYS) Property, Plant & Equipment (Net) (2011 - 2026)
Qualys (QLYS) recorded Property, Plant & Equipment (Net) of $22.59 million in Q2 2026, down 13.6% from $26.16 million a year earlier but up 2.8% from the prior quarter.
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Analysis
Qualys (QLYS) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Qualys reported Property, Plant & Equipment (Net) of $23.17 million, down 23.7% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for five straight years, with a five-year compound annual growth rate of -18.6% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $30.35 million in FY2024 (-6.9%), $32.6 million in FY2023 (-31.3%), $47.43 million in FY2022 (-23.3%) and $61.85 million in FY2021 (-4.6%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $21.98 million in Q1 2026 to $63.38 million in Q1 2022 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 20 consecutive quarters, with an average decline of 14.0% over the last eight quarters.
- The year-over-year decline in Property, Plant & Equipment (Net) has ranged between 1.2% (Q1 2022) and 33.1% (Q1 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $21.98 million (Q1 2026), $23.17 million (Q4 2025) and $24.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Qualys | 6.69 Bn | 4.93 Bn | 151.93 Mn | 22.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.59 Mn |
| Mar 31, 2026 | 21.98 Mn |
| Dec 31, 2025 | 23.17 Mn |
| Sep 30, 2025 | 24.79 Mn |
| Jun 30, 2025 | 26.16 Mn |
| Mar 31, 2025 | 28.25 Mn |
| Dec 31, 2024 | 30.35 Mn |
| Sep 30, 2024 | 27.34 Mn |
| Jun 30, 2024 | 27.76 Mn |
| Mar 31, 2024 | 30.19 Mn |
| Dec 31, 2023 | 32.60 Mn |
| Sep 30, 2023 | 36.16 Mn |
| Jun 30, 2023 | 40.35 Mn |
| Mar 31, 2023 | 45.16 Mn |
| Dec 31, 2022 | 47.43 Mn |
| Sep 30, 2022 | 53.94 Mn |
| Jun 30, 2022 | 57.83 Mn |
| Mar 31, 2022 | 63.38 Mn |
| Dec 31, 2021 | 61.85 Mn |
| Sep 30, 2021 | 63.26 Mn |
API Access
Qualys Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();