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DLR Digital Realty Trust, Inc.

Real Estate

175.95 -4.75 -2.63% Close 11/2
Since 2024-12-02 -0.5%
Open
180.00
High
180.22
Low
173.78
Prev close
180.70
Volume
3.3M
Amplitude
3.56%
P/E
75.3
P/B
2.4
Revenue YoY (TTM)
+21.3%
52W 146.23 208.14

Is Digital Realty Trust, Inc. a buy? Fundamentals and valuation first

As of 2026-10-30

Quality: Good, Momentum: Good, Risk / liquidity: Strong; Valuation: Pricey.

Valuation Pricey Free-cash-flow yield is Good, but TTM P/E is Expensive.
TTM P/E 75.29 89th percentile Expensive
Price / book 2.43 66th percentile Pricey
Free-cash-flow yield (%) 2 54th percentile Good
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Good FCF margin, TTM is Good, but ROE, TTM is Average.
ROE, TTM (%) 3.3 49th percentile Average
Operating margin, TTM (%) 19.23 70th percentile Good
FCF margin, TTM (%) 19.03 75th percentile Good
Quality Factor Investing: A US Quality Value Backtest
Growth Neutral Revenue growth, TTM YoY is Good, but Diluted EPS growth, TTM YoY is Average.
Revenue growth, TTM YoY (%) 21.31 76th percentile Good
Diluted EPS growth, TTM YoY (%) -37.98 39th percentile Average
Momentum Good All 2 indicators are Good.
60-day return (%) -5.52 53th percentile Good
240-day return (%) 17.49 69th percentile Good
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Strong 20-day dollar volume is Top; 60-day annualized volatility is Good.
20-day dollar volume 369,999,711 96th percentile Top
60-day annualized volatility (%) 26.7 30th percentile Good
Factor Investing Explained: 10 Classic Factors in US Stocks

Digital Realty Trust, Inc. (DLR) today

1 quant signals active · As of 2026-10-30

Win rate and excess are historical post-trigger stats vs the market. Click a signal for its full definition and samples; history does not predict future results.

FinLab Studio

From Digital Realty Trust, Inc. to every stock like it

AI finds several complementary traits of Digital Realty Trust, Inc. across different dimensions, combines them into a multifactor strategy, and backtests it against the market.

Screen stocks like Digital Realty Trust, Inc.

Digital Realty Trust, Inc. (DLR) peers and tracking

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Digital Realty Trust, Inc. (DLR) quant signal backtests

Signals active now

Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.

Filed revenue acceleration

Active · now 21.31%

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

12 historical occurrences (since 2018-05-08)

Average forward return after Filed revenue acceleration

20-day: Win 72.7%, Sample 11, Median +3.65%, Excess -0.05%, Beat mkt rate 54.5%

60-day: Win 63.6%, Sample 11, Median +2.73%, Excess -0.49%, Beat mkt rate 54.5%

120-day: Win 80%, Sample 10, Median +6.92%, Excess -1.52%, Beat mkt rate 40%

120 days after: historical avg +7.28%

20-day +2.4%
60-day +3.34%
120-day +7.28%
20-day
60-day
120-day
Win
72.7%
63.6%
80%
Sample
11
11
10
Median
+3.65%
+2.73%
+6.92%
Excess
-0.05%
-0.49%
-1.52%
Beat mkt rate
54.5%
54.5%
40%

Over 10 occurrences, 120-day forward avg gained 7.28%, lagged the market by 1.52 pts; win rate 80%.

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)
0-20 494+11.7% +15.6% 75.5% -2.3%
20-40 401+3.1% +7.7% 71.3% -15.4%
40-60 You are here119+16.1% +27.2% 52.9% +7.8%
60-80 210+18.4% +23.5% 73.8% +2.9%
80-100 207+4.7% +2.2% 61.8% -11.7%

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 75.29, placing it in the 51.5 own-history percentile, inside the 40-60 bucket.

More history: Valuation × momentum analogs, Market-wide momentum baseline, Signals not active now

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
+5.8%
Win rate 69.4% Excess -5.7%
483d
-2%
Win rate 45.2% Excess -5%
210d
+5.7%
Win rate 61.3% Excess -2.9%
266d
60-day momentum down
+1.3%
Win rate 51.6% Excess -4.2%
372d
Now
+15.9%
Win rate 81.8% Excess +7.7%
176d
+9.6%
Win rate 97.7% Excess -1.1%
44d

Currently in “Middle × 60-day momentum down”: across 176 historical days, 120-day forward avg gained 15.9%, win rate 81.8%, beat the market by 7.7%.

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 99,493 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.42%, a 58.4% positive-return rate, and +3.08 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.

22 times historically; 60-day forward avg +0.63%, win rate 54.5%, beating the market by -4.19 pts on average.

Top-quintile 6-month momentum

Pending

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

Momentum Trading Strategy: A 12-1 Momentum Backtest

17 times historically; 60-day forward avg -1.94%, win rate 41.2%, beating the market by -6.39 pts on average.

EPS surprise beat

Pending

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

PEAD: Post-Earnings Announcement Drift Backtest

9 times historically; 60-day forward avg +5.39%, win rate 66.7%, beating the market by +3.82 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.