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CAG Conagra Brands, Inc.

Consumer Defensive

14.41 USD 1D -0.38 -2.57% Close 11/3
Since 2024-12-03 -39.7%
Open
14.58
High
14.65
Low
14.38
Prev close
14.79
Volume
10.6M
Amplitude
1.83%
P/B
1.1
Revenue YoY (TTM)
-1.8%
52W 12.53 20.32

Is Conagra Brands, Inc. a buy? Fundamentals and valuation first

As of 2026-11-02

Valuation: Fair, Risk / liquidity: Good; Growth: Weak.

Valuation Fair Free-cash-flow yield is Top; Price / book is Fair.
TTM P/E -3.72 N/A
Price / book 1.1 37th percentile Fair
Free-cash-flow yield (%) 12.42 86th percentile Top
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Neutral FCF margin, TTM is Good, but ROE, TTM is Average.
ROE, TTM (%) -29.76 22th percentile Average
Operating margin, TTM (%) -6.19 29th percentile Average
FCF margin, TTM (%) 7.8 57th percentile Good
Quality Factor Investing: A US Quality Value Backtest
Growth Weak Revenue growth, TTM YoY is Average; Diluted EPS growth, TTM YoY is Lagging.
Revenue growth, TTM YoY (%) -1.8 32th percentile Average
Diluted EPS growth, TTM YoY (%) -326.14 7th percentile Lagging
Momentum Neutral 60-day return is Good, but 240-day return is Average.
60-day return (%) -2.12 62th percentile Good
240-day return (%) -8.73 39th percentile Average
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Good 20-day dollar volume is Top; 60-day annualized volatility is Good.
20-day dollar volume 148,725,782 90th percentile Top
60-day annualized volatility (%) 32.99 38th percentile Good
FinLab Studio

From Conagra Brands, Inc. to every stock like it

AI finds several complementary traits of Conagra Brands, Inc. across different dimensions, combines them into a multifactor strategy, and backtests it against the market.

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Conagra Brands, Inc. (CAG) peers and tracking

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Conagra Brands, Inc. (CAG) quant signal backtests

Market-wide momentum baseline

Across 99,771 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.43%, a 58.5% 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).

More history: Signals not active now

Signals not active now

Inactive signals still show the stock-specific historical forward-return distribution for context.

52-week adjusted-price high

Pending

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

10 times historically; 60-day forward avg -4.19%, win rate 30%, beating the market by -6.94 pts on average.

Top-quintile 6-month momentum

Pending

The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.

10 times historically; 60-day forward avg +1.53%, win rate 50%, beating the market by -0.75 pts on average.

Filed revenue acceleration

Pending

TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.

5 times historically; 60-day forward avg -2.63%, win rate 20%, beating the market by -2.37 pts on average.

EPS surprise beat

Pending

Reported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.

24 times historically; 60-day forward avg +2.35%, win rate 57.1%, beating the market by -2.47 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.