Qualys (QLYS) Receivables (2011 - 2026)
Qualys (QLYS) recorded Receivables of $139.78 million in Q2 2026, up 8.6% from $128.68 million a year earlier and up 3.6% from the prior quarter.
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Analysis
Qualys (QLYS) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025, Qualys reported Receivables of $171 million, up 3.9% from FY2024.
- Annual Receivables has increased for 14 straight years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $164.6 million in FY2024 (+12.6%), $146.2 million in FY2023 (+20.0%), $121.8 million in FY2022 (+11.7%) and $109 million in FY2021 (+8.8%).
- Quarterly Receivables has ranged from $84.27 million in Q3 2021 to $170.99 million in Q4 2025 over the past five years.
- On a year-over-year basis, Receivables has increased for eight consecutive quarters, with growth averaging 10.2% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 31.1% in Q3 2021, against a decline of 12.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $134.88 million (Q1 2026), $170.99 million (Q4 2025) and $128.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Qualys | 6.02 Bn | 4.26 Bn | 151.93 Mn | 139.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.78 Mn |
| Mar 31, 2026 | 134.88 Mn |
| Dec 31, 2025 | 170.99 Mn |
| Sep 30, 2025 | 128.42 Mn |
| Jun 30, 2025 | 128.68 Mn |
| Mar 31, 2025 | 121.56 Mn |
| Dec 31, 2024 | 164.60 Mn |
| Sep 30, 2024 | 114.97 Mn |
| Jun 30, 2024 | 109.58 Mn |
| Mar 31, 2024 | 115.63 Mn |
| Dec 31, 2023 | 146.20 Mn |
| Sep 30, 2023 | 103.43 Mn |
| Jun 30, 2023 | 124.91 Mn |
| Mar 31, 2023 | 101.79 Mn |
| Dec 31, 2022 | 121.80 Mn |
| Sep 30, 2022 | 98.72 Mn |
| Jun 30, 2022 | 97.69 Mn |
| Mar 31, 2022 | 89.29 Mn |
| Dec 31, 2021 | 109.00 Mn |
| Sep 30, 2021 | 84.27 Mn |
API Access
Qualys Receivables 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=receivables&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();