Filed revenue acceleration
Active · now 68.49%TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.
RGTI Rigetti Computing, Inc.
11.25 Close 10/30
Since 2024-12-02 +272.5%
- Open
- 11.39
- High
- 11.52
- Low
- 10.82
- Prev close
- 12.06
- Volume
- 14.6M
- Amplitude
- 5.80%
- P/B
- 7.0
- Revenue YoY (TTM)
- +68.5%
52W 10.82 44.52
Is Rigetti Computing, Inc. a buy? Fundamentals and valuation first
As of 2026-10-30
Growth: Good, Risk / liquidity: Good; Valuation: Pricey, Quality: Weak, Momentum: Weak.
Valuation Pricey Free-cash-flow yield is Average; Price / book is Expensive.
TTM P/E -12.55 N/A
Price / book 6.99 88th percentile Expensive
Free-cash-flow yield (%) -2.33 37th percentile Average
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value BacktestQuality Weak All 3 indicators are Lagging.
ROE, TTM (%) -44.41 18th percentile Lagging
Operating margin, TTM (%) -727.62 6th percentile Lagging
FCF margin, TTM (%) -655.9 6th percentile Lagging
Quality Factor Investing: A US Quality Value BacktestGrowth Good Revenue growth, TTM YoY is Top; Diluted EPS growth, TTM YoY is Good.
Revenue growth, TTM YoY (%) 68.49 89th percentile Top
Diluted EPS growth, TTM YoY (%) 4.4 58th percentile Good
Momentum Weak All 2 indicators are Lagging.
60-day return (%) -31.94 16th percentile Lagging
240-day return (%) -55.85 15th percentile Lagging
Momentum Trading Strategy: A 12-1 Momentum BacktestRisk / liquidity Good 20-day dollar volume is Top, but 60-day annualized volatility is Average.
20-day dollar volume 178,356,939 91th percentile Top
60-day annualized volatility (%) 66.76 68th percentile Average
FinLab Studio
From Rigetti Computing, Inc. to every stock like it
AI finds several complementary traits of Rigetti Computing, Inc. across different dimensions, combines them into a multifactor strategy, and backtests it against the market.
Screen stocks like Rigetti Computing, Inc.Rigetti Computing, Inc. (RGTI) peers and tracking
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Rigetti Computing, Inc. (RGTI) quant signal backtests
Signals active now
Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.
More history: Market-wide momentum baseline, Signals not active now
Market-wide momentum baseline
Across 99,493 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.42%, a 58.4% positive-return rate, and +3.08 percentage points of average excess return versus the S&P 500.
Baseline: weekly samples since 2016 where a liquid US common stock ranked in the top quintile by 126-trading-day momentum. Forward return is 60 trading days; excess return is versus S&P 500 (^GSPC).
Signals not active now
Inactive signals still show the stock-specific historical forward-return distribution for context.
52-week adjusted-price high
PendingAdjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.
Top-quintile 6-month momentum
PendingThe stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.
6 times historically; 60-day forward avg +155.49%, win rate 83.3%, beating the market by +150.02 pts on average.
EPS surprise beat
PendingReported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.
6 times historically; 60-day forward avg +16.5%, win rate 50%, beating the market by +12.07 pts on average.
Method and limits
- Returns use us_price:adj_close, adjusted for splits and dividends where available.
- Excess returns use world_index:^GSPC as the S&P 500 benchmark proxy.
- Quarterly fundamentals are aligned to SEC filing dates before daily valuation studies.
- The promoted universe starts from active NYSE/NASDAQ common stocks, then applies price and dollar-volume gates.
- Snapshot-only tables such as analyst consensus, DCF, us_ratios, and us_key_metrics are intentionally excluded from historical evidence.
- Overlapping event windows are descriptive distributions, not independent samples.
This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.