Qualys (QLYS) Depreciation & Amortization (CF) (2011 - 2026)
Qualys (QLYS) reported Depreciation & Amortization (CF) of $3.06 million for Q2 2026, down 23.0% from $3.98 million a year earlier but up 0.6% from the prior quarter.
Qualys (QLYS) Depreciation & Amortization (CF) (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qualys' Depreciation & Amortization (CF) came in at $12.44 million, down 25.3% year-over-year; for FY2025, it came in at $14.49 million, down 21.7% from FY2024.
- Depreciation & Amortization (CF) has declined for four consecutive years, with a five-year compound annual growth rate of -15.1% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $18.51 million in FY2024 (-31.4%), $26.99 million in FY2023 (-22.0%), $34.62 million in FY2022 (-3.6%) and $35.9 million in FY2021 (+9.3%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $3.04 million in Q1 2026 and a high of $9.15 million in Q4 2021.
- Year over year, Depreciation & Amortization (CF) has now declined in each of the last 18 quarters, with an average decline of 25.3% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q3 2021 (growth of 6.5%); the low point was Q3 2024 (a decline of 34.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.04 million (Q1 2026), $3.14 million (Q4 2025) and $3.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 41.40 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 68.63 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 19.49 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 12.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 32.46 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | - |
| 10 | Qualys | 6.49 Bn | 4.73 Bn | 151.93 Mn | 3.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.06 Mn |
| Mar 31, 2026 | 3.04 Mn |
| Dec 31, 2025 | 3.14 Mn |
| Sep 30, 2025 | 3.20 Mn |
| Jun 30, 2025 | 3.98 Mn |
| Mar 31, 2025 | 4.18 Mn |
| Dec 31, 2024 | 4.10 Mn |
| Sep 30, 2024 | 4.39 Mn |
| Jun 30, 2024 | 4.78 Mn |
| Mar 31, 2024 | 5.24 Mn |
| Dec 31, 2023 | 5.85 Mn |
| Sep 30, 2023 | 6.69 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | 7.44 Mn |
| Dec 31, 2022 | 8.85 Mn |
| Sep 30, 2022 | 8.22 Mn |
| Jun 30, 2022 | 8.57 Mn |
| Mar 31, 2022 | 8.98 Mn |
| Dec 31, 2021 | 9.15 Mn |
| Sep 30, 2021 | 8.88 Mn |
Qualys Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=QLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();