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Help me set up FinLab and analyze FRO Frontline Plc. Please read: https://finlab.finance/en/setup?stock=FRO

FRO

Frontline Plc Industrials As of 2026-07-31 Updated daily after market close

strong quality, fair valuation.

This page refreshes daily after the close. Add Frontline Plc to your watchlist to track signal changes on your next visit.
Valuation 48Quality 87Growth 82Momentum 81Risk / liquidity 66

Is Frontline Plc a buy? Fundamentals and valuation first

  • Quality is top-tier. Operating margin ranks above roughly 89% of the liquid US common-stock universe. TTM ROE is about 31.9%.

  • Valuation is middle-of-pack. TTM P/E is near the 57th percentile.

  • Recent volatility is moderate. 60-day annualized volatility is near the 50th percentile. Average 20-day dollar volume is about $76.7M.

  • Signals are active now. Top-quintile 6-month momentum, Filed revenue acceleration currently holds; the tables below show what followed in this stock’s own history.

Historical evidence

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 89.02127659574468%

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

30 historical occurrences (since 2018-06-18)
Average forward return after Top-quintile 6-month momentum。20-day: Win 60%, Sample 30, Median +2.98%, Excess +1.52%, Beat mkt rate 56.7%;60-day: Win 72.4%, Sample 29, Median +15.09%, Excess +9.35%, Beat mkt rate 69%;120-day: Win 75.9%, Sample 29, Median +25.14%, Excess +14.7%, Beat mkt rate 72.4%

120 days after: historical avg +20.91%

20-day +2.59%
60-day +12.47%
120-day +20.91%
20-day
60-day
120-day
Win
60%
72.4%
75.9%
Sample
30
29
29
Median
+2.98%
+15.09%
+25.14%
Excess
+1.52%
+9.35%
+14.7%
Beat mkt rate
56.7%
69%
72.4%

Over 29 occurrences, 120-day forward avg gained 20.91%, beat the market by 14.7 pts; win rate 75.9%.

Filed revenue acceleration

Active · now 18.5080537767639%

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

10 historical occurrences (since 2019-03-28)
Average forward return after Filed revenue acceleration。20-day: Win 60%, Sample 10, Median +2.41%, Excess +9.05%, Beat mkt rate 50%;60-day: Win 77.8%, Sample 9, Median +8.64%, Excess +1.82%, Beat mkt rate 55.6%;120-day: Win 88.9%, Sample 9, Median +30.09%, Excess +11.59%, Beat mkt rate 77.8%

120 days after: historical avg +24.65%

20-day +10.29%
60-day +9.19%
120-day +24.65%
20-day
60-day
120-day
Win
60%
77.8%
88.9%
Sample
10
9
9
Median
+2.41%
+8.64%
+30.09%
Excess
+9.05%
+1.82%
+11.59%
Beat mkt rate
50%
55.6%
77.8%

Over 9 occurrences, 120-day forward avg gained 24.65%, beat the market by 11.59 pts; win rate 88.9%.

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 78+76.5% +76.8% 100% +78.4%
20-40 502+39.2% +40.9% 68.1% +22.7%
40-60 You are here234+29.5% +41% 71.4% +12.5%
60-80 61+111.4% +109.8% 100% +93.3%
80-100 83+65.4% +66.1% 100% +63.7%

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 9.70, placing it in the 50.6 own-history percentile, inside the 40-60 bucket.

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
+20%
Win rate 88.1% Excess +9.8%
293d
Now
+10%
Win rate 69.6% Excess -0.1%
326d
+48.9%
Win rate 100% Excess +48.5%
154d
60-day momentum down
+39.6%
Win rate 100% Excess +36%
134d
-9.4%
Win rate 31.5% Excess -14.6%
124d
+85.3%
Win rate 100% Excess +88.4%
47d

Currently in “Middle × 60-day momentum up”: across 326 historical days, 120-day forward avg gained 10%, win rate 69.6%, lagged the market by 0.1%.

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 97,878 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.26%, a 58.3% positive-return rate, and +2.90 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.

20 times historically; 60-day forward avg +0.61%, win rate 52.6%, beating the market by -0.1 pts on average.

EPS surprise beat

Pending

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

13 times historically; 60-day forward avg -0.49%, win rate 33.3%, beating the market by -3.58 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.