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MDB MongoDB, Inc.

Technology

quality needs a look, premium valuation.

Quality
Weak
Valuation
Expensive
Key signals
Top-quintile 6-month momentum Filed revenue acceleration
376.34
376.34 Close (USD) Loading candles…

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

  • Quality is weaker than peers. Operating margin is only around the 34th percentile. TTM ROE is about 2.0%.

  • Valuation is expensive. TTM P/E is in the 99th percentile, above most peers.

  • Recent volatility is elevated. 60-day annualized volatility is in the 73th percentile. Average 20-day dollar volume is about $756.5M.

  • 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

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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 84.32203389830508%

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

15 historical occurrences (since 2018-04-26)
Average forward return after Top-quintile 6-month momentum。20-day: Win 57.1%, Sample 14, Median +9.37%, Excess +2.86%, Beat mkt rate 57.1%；60-day: Win 57.1%, Sample 14, Median +9.65%, Excess +14.83%, Beat mkt rate 57.1%；120-day: Win 64.3%, Sample 14, Median +10.7%, Excess +9.66%, Beat mkt rate 50%

120 days after: historical avg +19.41%

20-day +4.96%
60-day +20.57%
120-day +19.41%
20-day
60-day
120-day
Win
57.1%
57.1%
64.3%
Sample
14
14
14
Median
+9.37%
+9.65%
+10.7%
Excess
+2.86%
+14.83%
+9.66%
Beat mkt rate
57.1%
57.1%
50%

Over 14 occurrences, 120-day forward avg gained 19.41%, beat the market by 9.66 pts; win rate 64.3%.

Filed revenue acceleration

Active · now 25.452339723982043%

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 2018-09-07)
Average forward return after Filed revenue acceleration。20-day: Win 40%, Sample 15, Median -5.55%, Excess -3.78%, Beat mkt rate 40%；60-day: Win 53.3%, Sample 15, Median +1.85%, Excess +1.52%, Beat mkt rate 60%；120-day: Win 42.9%, Sample 14, Median -5.54%, Excess +6.44%, Beat mkt rate 42.9%

120 days after: historical avg +7.64%

20-day -4.47%
60-day +0.76%
120-day +7.64%
20-day
60-day
120-day
Win
40%
53.3%
42.9%
Sample
15
15
14
Median
-5.55%
+1.85%
-5.54%
Excess
-3.78%
+1.52%
+6.44%
Beat mkt rate
40%
60%
42.9%

Over 14 occurrences, 120-day forward avg gained 7.64%, beat the market by 6.44 pts; win rate 42.9%.

Market-wide momentum baseline

Across 98,524 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.12%, a 57.9% positive-return rate, and +2.77 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 +6.31%, win rate 58.8%, beating the market by +3.1 pts on average.

EPS surprise beat

Pending

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

35 times historically; 60-day forward avg +13.75%, win rate 70.6%, beating the market by +10.17 pts on average.

Continue researching MongoDB, 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.