Qualys (QLYS) Gains from Sales and Divestitures (2011 - 2022)
Qualys (QLYS) posted Gains from Sales and Divestitures of -$1,000 for Q4 2022.
Analysis
Qualys (QLYS) Gains from Sales and Divestitures (2011 - 2022) Analysis & Trends
For FY2022, Qualys' Gains from Sales and Divestitures came in at -$6,000.
- In prior years, Qualys' Gains from Sales and Divestitures was -$12,000 in FY2021, -$106,000 in FY2020, -$202,000 in FY2019 and -$9,000 in FY2018.
- The Q4 2022 figure stands as the highest quarterly Gains from Sales and Divestitures since Q2 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Qualys | 6.69 Bn | 4.93 Bn | 151.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -1,000.00 |
| Mar 31, 2022 | -5,000.00 |
| Jun 30, 2021 | -12,000.00 |
| Dec 31, 2020 | -97,000.00 |
| Sep 30, 2020 | -9,000.00 |
| Jun 30, 2020 | 148,000.00 |
| Mar 31, 2020 | -148,000.00 |
| Dec 31, 2019 | -6,000.00 |
| Sep 30, 2019 | -379,000.00 |
| Jun 30, 2019 | 183,000.00 |
| Dec 31, 2018 | 22,000.00 |
| Sep 30, 2018 | -40,000.00 |
| Jun 30, 2018 | 16,000.00 |
| Mar 31, 2018 | -7,000.00 |
| Dec 31, 2017 | -158,000.00 |
| Sep 30, 2017 | -1,000.00 |
| Mar 31, 2017 | -2,000.00 |
| Dec 31, 2016 | -16,000.00 |
| Jun 30, 2016 | -39,000.00 |
| Dec 31, 2015 | 4,000.00 |
API Access
Qualys Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=QLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();