Skip to main content

ACMR ACM Research, Inc.

Technology

steady quality, premium valuation.

Quality
Above avg
Valuation
Expensive
77.30
77.3 Close (USD) Loading candles…

Is ACM Research, Inc. a buy? Fundamentals and valuation first

  • Quality is above average. Operating margin sits near the 62th percentile. TTM ROE is about 8.1%.

  • Valuation is expensive. TTM P/E is in the 87th percentile, above most peers.

  • Recent volatility is elevated. 60-day annualized volatility is in the 84th percentile. Average 20-day dollar volume is about $78.1M.

  • 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.

Watchlist

This page refreshes daily after the close. Add ACM Research, Inc. to your watchlist to track signal changes on your next visit.

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 94.39252336448598%

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

22 historical occurrences (since 2018-05-07)
Average forward return after Top-quintile 6-month momentum。20-day: Win 59.1%, Sample 22, Median +5.07%, Excess +9.5%, Beat mkt rate 50%;60-day: Win 65%, Sample 20, Median +11.66%, Excess +15.43%, Beat mkt rate 65%;120-day: Win 63.2%, Sample 19, Median +25.63%, Excess +32.5%, Beat mkt rate 63.2%

120 days after: historical avg +40.62%

20-day +11.94%
60-day +18.83%
120-day +40.62%
20-day
60-day
120-day
Win
59.1%
65%
63.2%
Sample
22
20
19
Median
+5.07%
+11.66%
+25.63%
Excess
+9.5%
+15.43%
+32.5%
Beat mkt rate
50%
65%
63.2%

Over 19 occurrences, 120-day forward avg gained 40.62%, beat the market by 32.5 pts; win rate 63.2%.

Filed revenue acceleration

Active · now 27.308057499944805%

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

16 historical occurrences (since 2018-05-14)
Average forward return after Filed revenue acceleration。20-day: Win 37.5%, Sample 16, Median -8.08%, Excess -4.27%, Beat mkt rate 31.2%;60-day: Win 53.3%, Sample 15, Median +7.1%, Excess -0.67%, Beat mkt rate 46.7%;120-day: Win 42.9%, Sample 14, Median -17.29%, Excess -6.2%, Beat mkt rate 42.9%

120 days after: historical avg -0.07%

20-day -2.78%
60-day +2.32%
120-day -0.07%
20-day
60-day
120-day
Win
37.5%
53.3%
42.9%
Sample
16
15
14
Median
-8.08%
+7.1%
-17.29%
Excess
-4.27%
-0.67%
-6.2%
Beat mkt rate
31.2%
46.7%
42.9%

Over 14 occurrences, 120-day forward avg declined 0.07%, lagged the market by 6.2 pts; win rate 42.9%.

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)
0-20 527+85.1% +83.3% 93% +64.9%
20-40 321+41.7% -14.4% 41.7% +30.2%
40-60 139-25.4% -53.3% 15.8% -22.6%
60-80 You are here59-60.9% -60.3% 0% -47.2%
80-100 0Insufficient data

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 36.81, placing it in the 63.2 own-history percentile, inside the 60-80 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
+36.3%
Win rate 83.5% Excess +25.9%
375d
+18.8%
Win rate 51.7% Excess +13.2%
269d
Insufficient data
(28d)
60-day momentum down
+22.5%
Win rate 67.6% Excess +17.7%
376d
Now
-24.5%
Win rate 10.2% Excess -18.6%
118d
Insufficient data
(0d)

Currently in “Middle × 60-day momentum down”: across 118 historical days, 120-day forward avg declined 24.5%, win rate 10.2%, lagged the market by 18.6%.

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 98,702 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.12%, a 57.8% positive-return rate, and +2.76 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.

15 times historically; 60-day forward avg +8.1%, win rate 60%, beating the market by +5.22 pts on average.

EPS surprise beat

Pending

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

32 times historically; 60-day forward avg +21.5%, win rate 58.1%, beating the market by +17.49 pts on average.

Continue researching ACM Research, Inc. with the evidence above.

Continue in Studio ↗

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.