Skip to main content
Free trial

Ask AI to review this stock

Copy the prompt to get recent events, historical reactions, and a short research brief.

Tell your AI:

Help me set up FinLab and analyze FTI TechnipFMC plc. Please read: https://finlab.finance/en/setup?stock=FTI

FTI

TechnipFMC plc Energy As of 2026-07-31 Updated daily after market close

steady quality, premium valuation.

This page refreshes daily after the close. Add TechnipFMC plc to your watchlist to track signal changes on your next visit.
Valuation 32Quality 74Growth 68Momentum 66Risk / liquidity 78

Is TechnipFMC plc a buy? Fundamentals and valuation first

  • Quality is above average. Operating margin sits near the 66th percentile. TTM ROE is about 32.2%.

  • Valuation is expensive. TTM P/E is in the 80th percentile, above most peers.

  • Recent volatility is moderate. 60-day annualized volatility is near the 37th percentile. Average 20-day dollar volume is about $249.0M.

  • Signals are active now. Top-quintile 6-month momentum, EPS surprise beat 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 80.25531914893617%

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

24 historical occurrences (since 2016-11-07)
Average forward return after Top-quintile 6-month momentum。20-day: Win 56.5%, Sample 23, Median +3.43%, Excess +1.02%, Beat mkt rate 52.2%;60-day: Win 65.2%, Sample 23, Median +10.84%, Excess +5.12%, Beat mkt rate 56.5%;120-day: Win 65.2%, Sample 23, Median +26.01%, Excess +13.44%, Beat mkt rate 60.9%

120 days after: historical avg +21.03%

20-day +2.19%
60-day +9.52%
120-day +21.03%
20-day
60-day
120-day
Win
56.5%
65.2%
65.2%
Sample
23
23
23
Median
+3.43%
+10.84%
+26.01%
Excess
+1.02%
+5.12%
+13.44%
Beat mkt rate
52.2%
56.5%
60.9%

Over 23 occurrences, 120-day forward avg gained 21.03%, beat the market by 13.44 pts; win rate 65.2%.

EPS surprise beat

Active · now 9.903381642512086%

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

18 historical occurrences (since 2015-04-21)
Average forward return after EPS surprise beat。20-day: Win 43.8%, Sample 16, Median -2.18%, Excess -0.01%, Beat mkt rate 43.8%;60-day: Win 43.8%, Sample 16, Median -2.17%, Excess -2.69%, Beat mkt rate 37.5%;120-day: Win 71.4%, Sample 14, Median +15.39%, Excess +6.85%, Beat mkt rate 64.3%

120 days after: historical avg +16%

20-day +1.55%
60-day +2.55%
120-day +16%
20-day
60-day
120-day
Win
43.8%
43.8%
71.4%
Sample
16
16
14
Median
-2.18%
-2.17%
+15.39%
Excess
-0.01%
-2.69%
+6.85%
Beat mkt rate
43.8%
37.5%
64.3%

Over 14 occurrences, 120-day forward avg gained 16%, beat the market by 6.85 pts; win rate 71.4%.

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 22Insufficient data
20-40 224+78.5% +72.2% 100% +61%
40-60 You are here20Insufficient data
60-80 11Insufficient data
80-100 39+23.5% +25.1% 100% +13.9%

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 27.46, placing it in the 57.2 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
+38.5%
Win rate 95.4% Excess +32.8%
197d
+33.7%
Win rate 98.2% Excess +26.8%
112d
+14.5%
Win rate 94.4% Excess +4.5%
36d
60-day momentum down
+39.5%
Win rate 93.9% Excess +22.8%
49d
Now
Insufficient data
(28d)
Insufficient data
(14d)

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.

18 times historically; 60-day forward avg +8.68%, win rate 66.7%, beating the market by +5.8 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 +3.3%, win rate 60%, beating the market by -2.76 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.