QLYS

Qualys Inc. Technology - Cybersecurity Investor Relations →

YES
18.2% BELOW
↑ Moving away Was -18.4% last week
-15% -10% -5% 0% 5% 10% 15%+
Buy Threshold $136.04
14-Week RSI 58
Rel. Volume (14w) This week's trading vs. the 14-week average 1.2x
Buyers vs. Sellers (14w) Are up-weeks or down-weeks getting more volume? 1.00

Qualys Inc. (QLYS) closed at $111.30 as of 2026-06-19, trading 18.2% below its 200-week moving average of $136.04. This places QLYS in the extreme value zone. The stock moved further from the line this week, up from -18.4% last week. The 14-week RSI sits at 58, indicating neutral momentum.

Trading volume is running at 1.2x of its 14-week average, which is in the normal range. The balance between buying and selling volume (1.00 ratio) is neutral — neither side is clearly dominating.

Over the past 668 weeks of data, QLYS has crossed below its 200-week moving average 8 times. On average, these episodes lasted 11 weeks. Historically, investors who bought QLYS at the start of these episodes saw an average one-year return of +11.2%.

With a market cap of $3.9 billion, QLYS is a mid-cap stock. The company generates a free cash flow yield of 6.1%, which is healthy. Return on equity stands at 37.7%, indicating strong profitability. The stock trades at 6.9x book value.

Management has been repurchasing shares, with a 4.4% reduction over three years. QLYS passes our Buffett quality screen: high return on equity, low debt, and positive free cash flow.

Over the past 12.8 years, a hypothetical investment of $100 in QLYS would have grown to $524, compared to $554 for the S&P 500. QLYS has returned 13.8% annualized vs 14.3% for the index, underperforming the broader market over this period.

Free cash flow has been growing at a 20.3% compound annual rate, with 4 consecutive years of positive cash generation. A business generating more cash every year while trading below its 200-week moving average is exactly the kind of disconnect value investors look for.

Business Health

Annual financials — how the underlying business has performed over the past several years.

Cash Flow Free cash flow & net income ($M)

Revenue Annual revenue ($M) — business growth proxy

Total Debt Balance sheet debt ($M)

ROIC Return on invested capital (%)

FCF Yield Free cash flow / market cap (%) — Yartseva signal

Gross Margin Pricing power & competitive moat (%)

Shares Outstanding Buybacks vs dilution (millions)

Growth of $100: QLYS vs S&P 500

Monthly data normalized to $100 at start. Vertical dashed lines mark 200-week MA touches.

What Happens After QLYS Crosses Below the Line?

Across 8 historical episodes, buying QLYS when it crossed below its 200-week moving average produced an average return of +7.3% after 12 months (median +9.0%), compared to +18.8% for the S&P 500 over the same periods. 50% of those episodes were profitable after one year. After 24 months, the average return was +76.0% vs +52.0% for the index.

Each line shows $100 invested at the moment QLYS crossed below its 200-week MA. Bold blue = stock average. Gray dashed = S&P 500 average over same periods.

Bean Score Experimental

The Bean Score measures how far a stock's free cash flow yield has deviated from its own quarterly baseline, normalized by the stock's historical behavior. Between earnings dates, FCF is constant — so the score is purely a function of stock price. The levels below show at what prices QLYS would reach each dislocation threshold.

Current Bean Score -1.72σ
Current FCF Yield 7.50%
Baseline Yield 9.34%
Historical σ 1.54pp

Dislocation Price Levels

Prices where QLYS's Bean Score would hit each σ threshold. Valid until next earnings report: 2026-08-04.

LevelσPriceSignal
Deep Value+2σ$62.26Unusually cheap — potential buy zone
Value+1σ$70.46Cheap vs. own history
Fair Value+0σ$81.15Historical mean behavior
Expensive-1σ$95.67Expensive vs. own history
Deep Expensive-2σ$116.51Unusually expensive — potential trim zone

Quarterly FCF & Yield Trailing twelve-month free cash flow and yield at each quarter end

Data depth: 2 quarterly baselines, 22 price observations — Limited history (4+ quarters preferred for reliability)

Signal Accuracy Collecting Data

The Bean Score system is accumulating weekly data to validate signal accuracy. After 13+ weeks of history, this section will display win rates and average returns for each σ threshold crossing — answering the question: "When this score says cheap or expensive, does the price subsequently move in the expected direction?"

11 / 13 weeks minimum

Theoretical framework — not backtested or forward-tested. The Bean Score uses trailing twelve-month free cash flow yield as a dislocation identifier. It measures whether the market has pushed a stock's yield unusually far from its own baseline behavior. These levels are reference points for identifying potential swing trade opportunities, not buy/sell signals. FCF values update quarterly with earnings; between reports, all movement is price-driven.

Dislocation Scores Experimental

Each score measures deviation from QLYS's own historical baseline — the same idea as the Bean Score, applied to different fundamentals. Positive means cheaper or more dislocated than this stock's norm. Scores marked σ are normalized by the stock's own variability; pp values are simple deltas from its recent baseline.

Yield Dislocation N/A Dividend yield vs own 10-yr norm
Drawdown Score +1.71σ Distance from line vs own history
Sector-Relative N/A Vs sector median this week
Buyback Acceleration -0.6pp YoY share change vs own 3-yr pace (− = accelerating)
Insider Intensity N/A TTM buys / market cap, percentile of buyers
FCF Yield vs History +1.3pp Vs own recent annual mean
Earnings Quality Improving Accrual gap trend (-3.0pp of revenue)

Theoretical framework — not backtested. These scores describe how unusual today's readings are for this specific company. They are starting points for research, not buy or sell signals. Annual-statement scores (buyback, accruals, FCF vs history) rest on only ~4 yearly data points and are deltas, not sigmas.

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Historical Touches

QLYS has crossed below its 200-week MA 8 times with an average 1-year return of +11.2% after recovery.

Crossed BelowRecoveredWeeksMax Depth1-Year ReturnReturn Since Touch
Jan 2016May 20161522.0%+37.9%+328.2%
Jan 2023Jan 202324.6%+75.5%+8.3%
Aug 2024Nov 2024139.4%+2.0%-11.6%
Jan 2025Jan 202510.4%-0.6%-17.0%
Feb 2025May 20251313.1%-29.7%-15.3%
Jun 2025Jun 202511.6%-18.0%-18.0%
Jul 2025Nov 20251711.2%N/A-17.9%
Dec 2025Ongoing26+44.7%Ongoing-19.5%
Average11+11.2%

Frequently Asked Questions

Is QLYS below its 200-week moving average?

Yes. As of 2026-06-19, Qualys Inc. (QLYS) is trading 18.2% below its 200-week moving average of $136.04. The current price is $111.30.

What is QLYS's 200-week moving average price?

Qualys Inc.'s 200-week moving average is $136.04 as of 2026-06-19. This is the average weekly closing price over roughly the last 4 years, and it acts as a long-term trend line. When a stock drops below this level, it can signal that the price has fallen far enough from the long-term trend to attract value-oriented investors.

What happens when QLYS drops below its 200-week moving average?

QLYS has crossed below its 200-week moving average 8 times in our data. On average, buying at that moment produced a one-year return of +11.2%. These dips have historically been decent entry points. These episodes lasted 11 weeks on average.

Is QLYS a good value right now?

Here's what our data says about QLYS as of 2026-06-19: The stock is below its 200-week moving average, which is the starting point for our analysis. The 14-week RSI is 58. Free cash flow yield is 6.1%. Return on equity is 37.7%. Price-to-book is 6.9x. This is not a buy or sell recommendation — always do your own research.

How does QLYS compare to the S&P 500?

Over the past 12.8 years, $100 invested in QLYS would have grown to $524, compared to $554 for the S&P 500. That's 13.8% annualized vs 14.3% for the index. QLYS has underperformed the broader market over this period.

Not financial advice. This is an educational tool. Past performance does not guarantee future results. Do your own research before making investment decisions.

Data as of week of 2026-06-19