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NTRA Natera, Inc.

Healthcare

378.92 -35.38 -8.54% Close 11/2
Since 2024-12-02 +144.0%
Open
418.41
High
418.41
Low
376.38
Prev close
414.30
Volume
2.6M
Amplitude
10.14%
P/B
32.8
Revenue YoY (TTM)
+37.8%
52W 181.00 437.41

Is Natera, Inc. a buy? Fundamentals and valuation first

As of 2026-10-30

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

Valuation Pricey Free-cash-flow yield is Average; Price / book is Expensive.
TTM P/E -304.63 N/A
Price / book 32.79 98th percentile Expensive
Free-cash-flow yield (%) 0.12 49th percentile Average
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 (%) -10.56 30th percentile Average
Operating margin, TTM (%) -10.7 27th percentile Average
FCF margin, TTM (%) 2.65 45th percentile Average
Quality Factor Investing: A US Quality Value Backtest
Growth Good Revenue growth, TTM YoY is Top, but Diluted EPS growth, TTM YoY is Average.
Revenue growth, TTM YoY (%) 37.82 84th percentile Top
Diluted EPS growth, TTM YoY (%) -28.8 43th percentile Average
Momentum Strong All 2 indicators are Top.
60-day return (%) 56.12 98th percentile Top
240-day return (%) 102.81 96th percentile Top
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Good 20-day dollar volume is Top, but 60-day annualized volatility is Average.
20-day dollar volume 633,993,808 98th percentile Top
60-day annualized volatility (%) 56.19 61th percentile Average

Natera, Inc. (NTRA) today

3 quant signals active · As of 2026-10-30

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.

FinLab Studio

From Natera, Inc. to every stock like it

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

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Natera, Inc. (NTRA) peers and tracking

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Natera, Inc. (NTRA) quant signal backtests

Signals active now

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

52-week adjusted-price high

Active

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

29 historical occurrences (since 2017-09-07)

Average forward return after 52-week adjusted-price high

20-day: Win 53.6%, Sample 28, Median +0.42%, Excess -1.87%, Beat mkt rate 39.3%

60-day: Win 59.3%, Sample 27, Median +14.41%, Excess +8.6%, Beat mkt rate 59.3%

120-day: Win 73.1%, Sample 26, Median +14.12%, Excess +11.55%, Beat mkt rate 65.4%

120 days after: historical avg +19.88%

20-day +0.07%
60-day +12.78%
120-day +19.88%
20-day
60-day
120-day
Win
53.6%
59.3%
73.1%
Sample
28
27
26
Median
+0.42%
+14.41%
+14.12%
Excess
-1.87%
+8.6%
+11.55%
Beat mkt rate
39.3%
59.3%
65.4%

Over 26 occurrences, 120-day forward avg gained 19.88%, beat the market by 11.55 pts; win rate 73.1%.

Top-quintile 6-month momentum

Active · now 97.62%

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

30 historical occurrences (since 2016-07-12)

Average forward return after Top-quintile 6-month momentum

20-day: Win 46.7%, Sample 30, Median -0.69%, Excess -0.98%, Beat mkt rate 50%

60-day: Win 55.2%, Sample 29, Median +2.25%, Excess +7.1%, Beat mkt rate 51.7%

120-day: Win 69%, Sample 29, Median +16.02%, Excess +15.61%, Beat mkt rate 62.1%

120 days after: historical avg +23.45%

20-day +0.15%
60-day +11.13%
120-day +23.45%
20-day
60-day
120-day
Win
46.7%
55.2%
69%
Sample
30
29
29
Median
-0.69%
+2.25%
+16.02%
Excess
-0.98%
+7.1%
+15.61%
Beat mkt rate
50%
51.7%
62.1%

Over 29 occurrences, 120-day forward avg gained 23.45%, beat the market by 15.61 pts; win rate 69%.

Filed revenue acceleration

Active · now 37.82%

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

21 historical occurrences (since 2018-05-10)

Average forward return after Filed revenue acceleration

20-day: Win 61.9%, Sample 21, Median +1.89%, Excess -3%, Beat mkt rate 61.9%

60-day: Win 70%, Sample 20, Median +8.3%, Excess +7.01%, Beat mkt rate 60%

120-day: Win 70%, Sample 20, Median +13.48%, Excess +15.64%, Beat mkt rate 65%

120 days after: historical avg +20.11%

20-day -2.27%
60-day +9.89%
120-day +20.11%
20-day
60-day
120-day
Win
61.9%
70%
70%
Sample
21
20
20
Median
+1.89%
+8.3%
+13.48%
Excess
-3%
+7.01%
+15.64%
Beat mkt rate
61.9%
60%
65%

Over 20 occurrences, 120-day forward avg gained 20.11%, beat the market by 15.64 pts; win rate 70%.

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

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).

Signals not active now

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

EPS surprise beat

Pending

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

17 times historically; 60-day forward avg +18.11%, win rate 75%, beating the market by +13.97 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.