Qualys (QLYS) Selling, General & Administrative (2011 - 2026)
Qualys' Selling, General & Administrative was $18.32 million in Q2 2026, up 3.4% from $17.72 million a year earlier and up 7.9% from the prior quarter.
Qualys (QLYS) Selling, General & Administrative (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Qualys' Selling, General & Administrative was $71.8 million through Jun 30, 2026, down 0.3% year-over-year; for FY2025, it was $71.62 million, up 4.2% from FY2024.
- Selling, General & Administrative has now increased for three consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $68.74 million in FY2024 (+11.3%), $61.74 million in FY2023 (+6.5%), $57.98 million in FY2022 (-24.0%) and $76.27 million in FY2021 (+63.8%).
- Quarterly Selling, General & Administrative has moved between $10.57 million (Q3 2021) and $18.57 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in six of the last eight quarters, with growth averaging 5.9%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2022 (growth of 48.5%); the worst was Q1 2022 (a decline of 69.9%).
- Per Business Quant data, QLYS's Selling, General & Administrative in the three quarters before Q2 2026 was $16.98 million (Q1 2026), $18.57 million (Q4 2025) and $17.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 74.42 Mn |
| 10 | Qualys | 6.69 Bn | 4.93 Bn | 151.93 Mn | 18.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.32 Mn |
| Mar 31, 2026 | 16.98 Mn |
| Dec 31, 2025 | 18.57 Mn |
| Sep 30, 2025 | 17.92 Mn |
| Jun 30, 2025 | 17.72 Mn |
| Mar 31, 2025 | 17.40 Mn |
| Dec 31, 2024 | 18.38 Mn |
| Sep 30, 2024 | 18.49 Mn |
| Jun 30, 2024 | 14.96 Mn |
| Mar 31, 2024 | 16.91 Mn |
| Dec 31, 2023 | 16.56 Mn |
| Sep 30, 2023 | 16.00 Mn |
| Jun 30, 2023 | 14.06 Mn |
| Mar 31, 2023 | 15.13 Mn |
| Dec 31, 2022 | 16.32 Mn |
| Sep 30, 2022 | 15.70 Mn |
| Jun 30, 2022 | 13.33 Mn |
| Mar 31, 2022 | 12.63 Mn |
| Dec 31, 2021 | 12.45 Mn |
| Sep 30, 2021 | 10.57 Mn |
Qualys Selling, General & Administrative 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=selling-general-and-administrative&ticker=QLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();