SAIC

Science Applications International Corp. Technology - Defense IT Investor Relations →

NO
6.5% ABOVE
↓ Approaching Was 8.3% last week
-15% -10% -5% 0% 5% 10% 15%+
Buy Threshold $110.00
14-Week RSI 70
Rel. Volume (14w) This week's trading vs. the 14-week average 1.0x
Buyers vs. Sellers (14w) Are up-weeks or down-weeks getting more volume? 1.03

Science Applications International Corp. (SAIC) closed at $117.13 as of 2026-07-31, trading 6.5% above its 200-week moving average of $110.00. The stock is currently moving closer to the line, down from 8.3% last week. The 14-week RSI sits at 70, indicating neutral momentum.

Trading volume is running at 1.0x of its 14-week average, which is in the normal range. The balance between buying and selling volume (1.03 ratio) is neutral — neither side is clearly dominating.

Over the past 623 weeks of data, SAIC has crossed below its 200-week moving average 10 times. On average, these episodes lasted 7 weeks. Historically, investors who bought SAIC at the start of these episodes saw an average one-year return of +37.5%.

With a market cap of $5.0 billion, SAIC is a mid-cap stock. The company generates a free cash flow yield of 8.4%, which is notably high. Return on equity stands at 27.7%, indicating strong profitability. The stock trades at 3.5x book value.

The company has been aggressively buying back shares, reducing its share count by 18.5% over the past three years.

Over the past 12 years, a hypothetical investment of $100 in SAIC would have grown to $312, compared to $455 for the S&P 500. SAIC has returned 9.9% annualized vs 13.5% for the index, underperforming the broader market over this period.

Free cash flow has been growing at a 4.4% compound annual rate, with 4 consecutive years of positive cash generation.

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: SAIC vs S&P 500

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

What Happens After SAIC Crosses Below the Line?

Across 9 historical episodes, buying SAIC when it crossed below its 200-week moving average produced an average return of +31.0% after 12 months (median +18.0%), compared to +28.4% for the S&P 500 over the same periods. 71% of those episodes were profitable after one year. After 24 months, the average return was +56.2% vs +48.8% for the index.

Each line shows $100 invested at the moment SAIC 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 SAIC would reach each dislocation threshold.

Current Bean Score -1.59σ
Current FCF Yield 12.85%
Baseline Yield 14.87%
Historical σ 1.35pp

Dislocation Price Levels

Prices where SAIC's Bean Score would hit each σ threshold. Valid until next earnings report (date TBD — last report: 2026-04-30).

LevelσPriceSignal
Deep Value+2σ$80.52Unusually cheap — potential buy zone
Value+1σ$87.17Cheap vs. own history
Fair Value+0σ$95.02Historical mean behavior
Expensive-1σ$104.43Expensive vs. own history
Deep Expensive-2σ$115.90Unusually 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?"

12 / 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 SAIC'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 -1.36σ Dividend yield vs own 10-yr norm
Drawdown Score +0.77σ Distance from line vs own history
Sector-Relative N/A Vs sector median this week
Buyback Acceleration -1.7pp YoY share change vs own 3-yr pace (− = accelerating)
Insider Intensity 41th TTM buys / market cap, percentile of buyers
FCF Yield vs History -1.5pp Vs own recent annual mean
Earnings Quality Stable Accrual gap trend (-2.2pp 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.

Historical Touches

SAIC has crossed below its 200-week MA 10 times with an average 1-year return of +37.5% after recovery.

Crossed BelowRecoveredWeeksMax Depth1-Year ReturnReturn Since Touch
Aug 2015Oct 201576.7%+56.1%+231.7%
Jan 2016Feb 201655.2%+97.5%+222.5%
Dec 2018Jan 201936.3%+48.0%+118.4%
Mar 2020Apr 2020429.6%+39.3%+87.6%
Jun 2020Jul 202046.4%+24.4%+70.9%
Feb 2025Mar 202556.1%-13.0%+18.5%
Jun 2025Jun 202532.5%+10.1%+13.2%
Sep 2025Jan 20261821.2%N/A+13.2%
Jan 2026Jun 20261820.4%N/A+15.9%
Jun 2026Jun 202616.5%N/A+14.8%
Average7+37.5%

Frequently Asked Questions

Is SAIC below its 200-week moving average?

No. Science Applications International Corp. (SAIC) is currently 6.5% above its 200-week moving average of $110.00. It would need to fall to $110.00 to cross below the line.

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

Science Applications International Corp.'s 200-week moving average is $110.00 as of 2026-07-31. 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 SAIC drops below its 200-week moving average?

SAIC has crossed below its 200-week moving average 10 times in our data. On average, buying at that moment produced a one-year return of +37.5%. These dips have historically been decent entry points. These episodes lasted 7 weeks on average.

Is SAIC a good value right now?

Here's what our data says about SAIC as of 2026-07-31: The stock is above its 200-week moving average, so it doesn't currently meet our primary signal. The 14-week RSI is 70. Free cash flow yield is 8.4%. Return on equity is 27.7%. Price-to-book is 3.5x. This is not a buy or sell recommendation — always do your own research.

How does SAIC compare to the S&P 500?

Over the past 12 years, $100 invested in SAIC would have grown to $312, compared to $455 for the S&P 500. That's 9.9% annualized vs 13.5% for the index. SAIC has underperformed the broader market over this period.

Does SAIC pay a dividend?

Yes. Science Applications International Corp. currently pays a dividend yield of 126.00%.

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 2026-07-31