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CXW CoreCivic, Inc.

Industrials

32.93

Close 10/9

P/E
27.0
P/B
2.3
52W 15.74 36.55
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Is CoreCivic, Inc. a buy? Fundamentals and valuation first

As of 2026-10-09

Growth: Good, Momentum: Strong, Risk / liquidity: Good; Valuation: Pricey.

Valuation Pricey Free-cash-flow yield is Good, but TTM P/E is Pricey.
TTM P/E 26.99 64th percentile Pricey
Price / book 2.26 62th percentile Pricey
Free-cash-flow yield (%) 1.76 52th percentile Good
Quality Neutral Operating margin, TTM is Good, but FCF margin, TTM is Average.
ROE, TTM (%) 8.89 61th percentile Good
Operating margin, TTM (%) 12.65 61th percentile Good
FCF margin, TTM (%) 2.31 44th percentile Average
Growth Good All 2 indicators are Good.
Revenue growth, TTM YoY (%) 24.35 78th percentile Good
Diluted EPS growth, TTM YoY (%) 29.79 71th percentile Good
Momentum Strong 240-day return is Top; 60-day return is Good.
60-day return (%) 7.44 79th percentile Good
240-day return (%) 75.35 92th percentile Top
Risk / liquidity Good 20-day dollar volume is Top; 60-day annualized volatility is Good.
20-day dollar volume 69,958,665 84th percentile Top
60-day annualized volatility (%) 44.12 49th percentile Good

CoreCivic, Inc. (CXW) today

2 quant signals active · As of 2026-10-09

Win rate and excess are historical post-trigger stats vs the market. Click a signal for its full definition and samples; history does not predict future results.

CoreCivic, Inc. (CXW) peers and tracking

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CoreCivic, Inc. (CXW) quant signal backtests

Signals active now

Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.

Top-quintile 6-month momentum

Active · now 90.56%

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

15 historical occurrences (since 2016-07-05)
Average forward return after Top-quintile 6-month momentum。20-day: Win 33.3%, Sample 15, Median -2.54%, Excess +0.51%, Beat mkt rate 33.3%；60-day: Win 46.7%, Sample 15, Median -5.35%, Excess -2.79%, Beat mkt rate 46.7%；120-day: Win 50%, Sample 14, Median -0.07%, Excess -1.99%, Beat mkt rate 57.1%

120 days after: historical avg -0.47%

20-day -0.24%
60-day -0.85%
120-day -0.47%
20-day
60-day
120-day
Win
33.3%
46.7%
50%
Sample
15
15
14
Median
-2.54%
-5.35%
-0.07%
Excess
+0.51%
-2.79%
-1.99%
Beat mkt rate
33.3%
46.7%
57.1%

Over 14 occurrences, 120-day forward avg declined 0.47%, lagged the market by 1.99 pts; win rate 50%.

Filed revenue acceleration

Active · now 24.35%

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

3 historical occurrences (since 2026-02-20)

Valuation regime and forward returns

Daily TTM P/E is converted into an expanding own-history percentile, then grouped into five valuation regimes. Forward returns use adjusted prices over the next 240 trading days.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 303+26.7% +25.9% 75.9% +4.6%
20-40 225+27.1% +23.7% 98.2% +7.1%
40-60 65-5.7% -5.8% 38.5% -21.4%
60-80 72+37.1% +58% 69.4% +24%
80-100 You are here503+25.3% +29.6% 71.4% +9.9%

Quarterly EPS is aligned by SEC filing date before it is forward-filled to daily prices. The expanding percentile uses only information available up to each day.

Current TTM P/E is about 26.99, placing it in the 90.3 own-history percentile, inside the 80-100 bucket.

More history: Valuation × momentum analogs, Market-wide momentum baseline, Signals not active now

Valuation × momentum analogs

Each historical day is grouped by own-history P/E tercile and 60-day momentum direction, then tested for the next 120-trading-day adjusted return.

Valuation
Momentum
Cheap (own-history bottom third)
Middle
Expensive (own-history top third)
60-day momentum up
+10.8%
Win rate 50.6% Excess +1.3%
168d
+14.2%
Win rate 72.9% Excess +1.6%
59d
Now
+9.7%
Win rate 49.3% Excess +2.5%
412d
60-day momentum down
+9.9%
Win rate 54.2% Excess -3.6%
288d
+18.6%
Win rate 72.8% Excess +13.5%
114d
+23.7%
Win rate 74.9% Excess +15.5%
247d

Currently in “Expensive (own-history top third) × 60-day momentum up”: across 412 historical days, 120-day forward avg gained 9.7%, win rate 49.3%, beat the market by 2.5%.

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

Market-wide momentum baseline

Across 98,394 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).

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.

13 times historically; 60-day forward avg -2.91%, win rate 38.5%, beating the market by -4.1 pts on average.

EPS surprise beat

Pending

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

27 times historically; 60-day forward avg +3.71%, win rate 54.2%, beating the market by -0.11 pts on average.

Continue researching CoreCivic, Inc. with the evidence above.

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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.