Qualys (QLYS) Change in Receivables (2011 - 2026)
Qualys (QLYS) reported Change in Receivables of $5.06 million for Q2 2026, down 34.8% from $7.76 million a year earlier.
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Analysis
Qualys (QLYS) Change in Receivables (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qualys' Change in Receivables came in at $11.81 million, down 42.2% year-over-year; for FY2025, it was $7.67 million, down 59.8% from FY2024.
- Change in Receivables has a five-year compound annual growth rate of -19.5% (FY2020 to FY2025).
- By year, Change in Receivables came in at $19.09 million in FY2024 (-23.6%), $24.98 million in FY2023 (+86.6%), $13.39 million in FY2022 (+45.2%) and $9.22 million in FY2021 (-59.3%).
- Five-year quarterly Change in Receivables spans a low of -$42.78 million in Q1 2025 and a high of $49.94 million in Q4 2024.
- Year over year, Change in Receivables gained in 1 of the last four quarters, with an average decline of 33.4%.
- The high point for year-over-year Change in Receivables in five years was Q2 2022 (growth of 923.2%); the low point was Q3 2025 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$35.94 million (Q1 2026), $42.69 million (Q4 2025) and $3,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 83.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 305.83 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Qualys | 6.49 Bn | 4.72 Bn | 151.93 Mn | 5.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.06 Mn |
| Mar 31, 2026 | -35.94 Mn |
| Dec 31, 2025 | 42.69 Mn |
| Sep 30, 2025 | 3,000.00 |
| Jun 30, 2025 | 7.76 Mn |
| Mar 31, 2025 | -42.78 Mn |
| Dec 31, 2024 | 49.94 Mn |
| Sep 30, 2024 | 5.52 Mn |
| Jun 30, 2024 | -5.96 Mn |
| Mar 31, 2024 | -30.40 Mn |
| Dec 31, 2023 | 43.12 Mn |
| Sep 30, 2023 | -21.41 Mn |
| Jun 30, 2023 | 23.17 Mn |
| Mar 31, 2023 | -19.89 Mn |
| Dec 31, 2022 | 23.18 Mn |
| Sep 30, 2022 | 1.22 Mn |
| Jun 30, 2022 | 8.55 Mn |
| Mar 31, 2022 | -19.56 Mn |
| Dec 31, 2021 | 24.89 Mn |
| Sep 30, 2021 | -1.68 Mn |
API Access
Qualys Change in 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=change-in-receivables&ticker=QLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=QLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();