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Help me set up FinLab and analyze AGX Argan, Inc.. Please read: https://finlab.finance/en/setup?stock=AGX

AGX

Argan, Inc. Industrials As of 2026-07-31 Updated daily after market close

steady quality, premium valuation.

This page refreshes daily after the close. Add Argan, Inc. to your watchlist to track signal changes on your next visit.
Valuation 29Quality 83Growth 75Momentum 57Risk / liquidity 57

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

  • Quality is above average. Operating margin sits near the 66th percentile. TTM ROE is about 34.1%.

  • Valuation is expensive. TTM P/E is in the 90th percentile, above most peers.

  • Recent volatility is elevated. 60-day annualized volatility is in the 77th percentile. Average 20-day dollar volume is about $202.6M.

  • 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.

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 93.19148936170212%

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

16 historical occurrences (since 2016-07-05)
Average forward return after Top-quintile 6-month momentum。20-day: Win 56.2%, Sample 16, Median +0.15%, Excess -1.35%, Beat mkt rate 37.5%;60-day: Win 50%, Sample 16, Median +0.42%, Excess +0.28%, Beat mkt rate 37.5%;120-day: Win 75%, Sample 16, Median +6.88%, Excess +10.19%, Beat mkt rate 43.8%

120 days after: historical avg +23.35%

20-day +2.24%
60-day +7.93%
120-day +23.35%
20-day
60-day
120-day
Win
56.2%
50%
75%
Sample
16
16
16
Median
+0.15%
+0.42%
+6.88%
Excess
-1.35%
+0.28%
+10.19%
Beat mkt rate
37.5%
37.5%
43.8%

Over 16 occurrences, 120-day forward avg gained 23.35%, beat the market by 10.19 pts; win rate 75%.

Filed revenue acceleration

Active · now 14.474755454278764%

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

11 historical occurrences (since 2017-06-07)
Average forward return after Filed revenue acceleration。20-day: Win 45.5%, Sample 11, Median -3.5%, Excess +4.54%, Beat mkt rate 45.5%;60-day: Win 50%, Sample 10, Median +0.57%, Excess +6.59%, Beat mkt rate 40%;120-day: Win 50%, Sample 10, Median +19.83%, Excess +27.71%, Beat mkt rate 50%

120 days after: historical avg +35.12%

20-day +5.44%
60-day +11.21%
120-day +35.12%
20-day
60-day
120-day
Win
45.5%
50%
50%
Sample
11
10
10
Median
-3.5%
+0.57%
+19.83%
Excess
+4.54%
+6.59%
+27.71%
Beat mkt rate
45.5%
40%
50%

Over 10 occurrences, 120-day forward avg gained 35.12%, beat the market by 27.71 pts; win rate 50%.

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 0Insufficient data
20-40 57-2.3% -0.7% 35.1% +10.5%
40-60 183+27.8% +6.2% 63.9% +21.4%
60-80 514+85.7% +48.1% 76.5% +70.8%
80-100 You are here593+79.4% +25.9% 85.3% +56.2%

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 50.13, placing it in the 89.1 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
Insufficient data
(0d)
+10%
Win rate 62.9% Excess +3.6%
178d
+46%
Win rate 85.7% Excess +37%
712d
60-day momentum down
Insufficient data
(2d)
+4.9%
Win rate 36.5% Excess +8.3%
219d
Now
+22%
Win rate 71.9% Excess +7.4%
356d

Currently in “Expensive (own-history top third) × 60-day momentum down”: across 356 historical days, 120-day forward avg gained 22%, win rate 71.9%, beat the market by 7.4%.

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.

25 times historically; 60-day forward avg +11.83%, win rate 54.2%, beating the market by +6.26 pts on average.

EPS surprise beat

Pending

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

34 times historically; 60-day forward avg +13.03%, win rate 64.5%, beating the market by +9.9 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.