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ANET Arista Networks, Inc.

Technology

strong quality, premium valuation.

Quality
Top tier
Valuation
Expensive
Key signals
Top-quintile 6-month momentum Filed revenue acceleration
206.55
206.55 Close (USD) Loading candles…

Is Arista Networks, Inc. a buy? Fundamentals and valuation first

  • Quality is top-tier. Operating margin ranks above roughly 90% of the liquid US common-stock universe. TTM ROE is about 27.3%.

  • Valuation is expensive. TTM P/E is in the 93th percentile, above most peers.

  • Recent volatility is moderate. 60-day annualized volatility is near the 60th percentile. Average 20-day dollar volume is about $931.1M.

  • 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.

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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 91.16397621070517%

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

23 historical occurrences (since 2016-09-06)
Average forward return after Top-quintile 6-month momentum。20-day: Win 73.9%, Sample 23, Median +4.86%, Excess +3.19%, Beat mkt rate 65.2%；60-day: Win 73.9%, Sample 23, Median +13.13%, Excess +7.87%, Beat mkt rate 69.6%；120-day: Win 72.7%, Sample 22, Median +28.91%, Excess +16.97%, Beat mkt rate 63.6%

120 days after: historical avg +24.95%

20-day +5.05%
60-day +10.86%
120-day +24.95%
20-day
60-day
120-day
Win
73.9%
73.9%
72.7%
Sample
23
23
22
Median
+4.86%
+13.13%
+28.91%
Excess
+3.19%
+7.87%
+16.97%
Beat mkt rate
65.2%
69.6%
63.6%

Over 22 occurrences, 120-day forward avg gained 24.95%, beat the market by 16.97 pts; win rate 72.7%.

Filed revenue acceleration

Active · now 32.57247038475295%

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 2018-05-04)
Average forward return after Filed revenue acceleration。20-day: Win 50%, Sample 16, Median +0.23%, Excess +1.32%, Beat mkt rate 50%；60-day: Win 46.7%, Sample 15, Median -0.73%, Excess +1.83%, Beat mkt rate 46.7%；120-day: Win 71.4%, Sample 14, Median +22.55%, Excess +16.8%, Beat mkt rate 85.7%

120 days after: historical avg +19.86%

20-day +1.25%
60-day +3.9%
120-day +19.86%
20-day
60-day
120-day
Win
50%
46.7%
71.4%
Sample
16
15
14
Median
+0.23%
-0.73%
+22.55%
Excess
+1.32%
+1.83%
+16.8%
Beat mkt rate
50%
46.7%
85.7%

Over 14 occurrences, 120-day forward avg gained 19.86%, beat the market by 16.8 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)
0-20 153+59.3% +58.1% 100% +22.8%
20-40 265+80.5% +82.4% 100% +58.8%
40-60 417+66.4% +68.8% 100% +49.1%
60-80 303+34% +29.6% 97.4% +28.9%
80-100 You are here277+20.1% +16.7% 79.4% +15.1%

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 65.16, placing it in the 99.9 own-history percentile, inside the 80-100 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
+30%
Win rate 93% Excess +16.6%
128d
+30%
Win rate 99% Excess +19.8%
484d
Now
+9.5%
Win rate 58.3% Excess +7%
480d
60-day momentum down
+39.4%
Win rate 95.1% Excess +20.9%
142d
+39.7%
Win rate 95.8% Excess +33%
191d
+14.8%
Win rate 71.8% Excess +12.6%
110d

Currently in “Expensive (own-history top third) × 60-day momentum up”: across 480 historical days, 120-day forward avg gained 9.5%, win rate 58.3%, beat the market by 7%.

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.

33 times historically; 60-day forward avg +4.89%, win rate 64.5%, beating the market by +2.23 pts on average.

EPS surprise beat

Pending

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

44 times historically; 60-day forward avg +9.79%, win rate 69.2%, beating the market by +6.64 pts on average.

Continue researching Arista Networks, 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.