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IRM

Iron Mountain Incorporated Real Estate As of 2026-07-31 Updated daily after market close

steady quality, premium valuation.

2 active signals
Top-quintile 6-month momentum Filed revenue acceleration
This page refreshes daily after the close. Add Iron Mountain Incorporated to your watchlist to track signal changes on your next visit.
Valuation 46Quality 41Growth 79Momentum 55Risk / liquidity 82

Is Iron Mountain Incorporated a buy? Fundamentals and valuation first

  • Quality is above average. Operating margin sits near the 71th percentile. TTM ROE is about -22.4%.

  • Valuation is expensive. TTM P/E is in the 97th percentile, above most peers.

  • Recent volatility is comparatively low. 60-day annualized volatility is in the 29th percentile. Average 20-day dollar volume is about $251.2M.

  • 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 82.46808510638299%

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

17 historical occurrences (since 2016-07-05)
Average forward return after Top-quintile 6-month momentum。20-day: Win 62.5%, Sample 16, Median +0.58%, Excess +0.26%, Beat mkt rate 50%；60-day: Win 46.7%, Sample 15, Median -0.53%, Excess -0.24%, Beat mkt rate 53.3%；120-day: Win 53.3%, Sample 15, Median +0.62%, Excess -0.18%, Beat mkt rate 46.7%

120 days after: historical avg +5.2%

20-day +0.81%
60-day +2.61%
120-day +5.2%
20-day
60-day
120-day
Win
62.5%
46.7%
53.3%
Sample
16
15
15
Median
+0.58%
-0.53%
+0.62%
Excess
+0.26%
-0.24%
-0.18%
Beat mkt rate
50%
53.3%
46.7%

Over 15 occurrences, 120-day forward avg gained 5.2%, lagged the market by 0.18 pts; win rate 53.3%.

Filed revenue acceleration

Active · now 15.637543242240337%

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

10 historical occurrences (since 2022-04-28)
Average forward return after Filed revenue acceleration。20-day: Win 60%, Sample 10, Median +1.29%, Excess -0.62%, Beat mkt rate 50%；60-day: Win 70%, Sample 10, Median +2.22%, Excess +0.36%, Beat mkt rate 60%；120-day: Win 62.5%, Sample 8, Median +5.48%, Excess -0.32%, Beat mkt rate 37.5%

120 days after: historical avg +2.59%

20-day -0.72%
60-day +2.36%
120-day +2.59%
20-day
60-day
120-day
Win
60%
70%
62.5%
Sample
10
10
8
Median
+1.29%
+2.22%
+5.48%
Excess
-0.62%
+0.36%
-0.32%
Beat mkt rate
50%
60%
37.5%

Over 8 occurrences, 120-day forward avg gained 2.59%, lagged the market by 0.32 pts; win rate 62.5%.

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)
0-20 183+25.8% +14% 94% +23.5%
20-40 305+35% +37% 98% +14.1%
40-60 278+25.2% +18.4% 89.2% +15.2%
60-80 You are here83+67.9% +77.3% 100% +44.4%
80-100 521+23.3% +21% 71.8% +4.9%

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 134.42, placing it in the 78.3 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
+9.3%
Win rate 80.6% Excess +7.8%
186d
+9.6%
Win rate 78.8% Excess +3.5%
354d
+16.9%
Win rate 67.9% Excess +7.7%
452d
60-day momentum down
+12.9%
Win rate 93.4% Excess +0.8%
122d
+11.4%
Win rate 88.6% Excess +5.7%
123d
Now
+22.6%
Win rate 77.5% Excess +11.2%
253d

Currently in “Expensive (own-history top third) × 60-day momentum down”: across 253 historical days, 120-day forward avg gained 22.6%, win rate 77.5%, beat the market by 11.2%.

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.

18 times historically; 60-day forward avg +4.71%, win rate 70.6%, beating the market by +0.68 pts on average.

EPS surprise beat

Pending

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

21 times historically; 60-day forward avg +5.01%, win rate 64.7%, beating the market by +1.37 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.