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ACI Albertsons Companies, Inc.

Consumer Defensive

13.72 +0.64 +4.93% Close 11/2
Since 2024-12-02 -27.5%
Open
13.03
High
13.86
Low
13.03
Prev close
13.08
Volume
10.4M
Amplitude
6.35%
P/B
4.3
Revenue YoY (TTM)
+2.3%
52W 10.86 18.83

Is Albertsons Companies, Inc. a buy? Fundamentals and valuation first

As of 2026-10-30

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

Valuation Fair Free-cash-flow yield is Top, but Price / book is Pricey.
TTM P/E -118.91 N/A
Price / book 4.29 79th percentile Pricey
Free-cash-flow yield (%) 34.03 95th percentile Top
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Neutral All 3 indicators are Average.
ROE, TTM (%) -3.58 35th percentile Average
Operating margin, TTM (%) 0.53 37th percentile Average
FCF margin, TTM (%) 2.52 45th percentile Average
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 (%) 2.26 41th percentile Average
Diluted EPS growth, TTM YoY (%) -106.51 19th percentile Lagging
Momentum Neutral 60-day return is Top, but 240-day return is Average.
60-day return (%) 9.6 85th percentile Top
240-day return (%) -24.77 29th 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 129,125,725 89th percentile Top
60-day annualized volatility (%) 32.87 38th percentile Good
FinLab Studio

From Albertsons Companies, Inc. to every stock like it

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

Screen stocks like Albertsons Companies, Inc.

Albertsons Companies, Inc. (ACI) peers and tracking

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Albertsons Companies, Inc. (ACI) quant signal backtests

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).

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.

6 times historically; 60-day forward avg +4.51%, win rate 50%, beating the market by +5.12 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.

5 times historically; 60-day forward avg +10.03%, win rate 60%, beating the market by +5.63 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.

EPS surprise beat

Pending

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

21 times historically; 60-day forward avg +6.11%, win rate 75%, beating the market by +3.54 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.