Digital Realty Trust, Inc. (DLR-PL) Price to Earnings (2010 - 2026)
Digital Realty Trust's (DLR-PL) Price to Earnings came in at 87.63 for Q2 2026, up 98.2% from 44.21 a year earlier and up 86.3% from the prior quarter.
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Analysis
Digital Realty Trust, Inc. (DLR-PL) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Digital Realty Trust's Price to Earnings stood at 41.92, down 60.5% from FY2024.
- In prior years, Digital Realty Trust's Price to Earnings was 106.26 in FY2024 (+130.1%), 46.18 in FY2023 (-46.7%), 86.64 in FY2022 (+189.6%) and 29.92 in FY2021 (-79.9%).
- The Q2 2026 figure stands as the highest quarterly Price to Earnings since Q1 2025.
- On a year-over-year basis, Price to Earnings increased in four of the last eight quarters, with growth averaging 58.2%.
- The strongest year-over-year quarter for Price to Earnings in the past five years was Q3 2024, with growth of 222.8%; the weakest was Q4 2021, with a decline of 79.9%.
- According to Business Quant data, Price to Earnings for the three prior quarters was 47.02 (Q1 2026), 41.92 (Q4 2025) and 43.65 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.63 |
| Mar 31, 2026 | 47.02 |
| Dec 31, 2025 | 41.92 |
| Sep 30, 2025 | 43.65 |
| Jun 30, 2025 | 44.21 |
| Mar 31, 2025 | 123.65 |
| Dec 31, 2024 | 106.26 |
| Sep 30, 2024 | 133.89 |
| Jun 30, 2024 | 45.76 |
| Mar 31, 2024 | 40.15 |
| Dec 31, 2023 | 46.18 |
| Sep 30, 2023 | 41.47 |
| Jun 30, 2023 | 88.01 |
| Mar 31, 2023 | 86.15 |
| Dec 31, 2022 | 86.64 |
| Sep 30, 2022 | 20.36 |
| Jun 30, 2022 | 28.48 |
| Mar 31, 2022 | 29.42 |
| Dec 31, 2021 | 29.92 |
| Sep 30, 2021 | 61.38 |
API Access
Digital Realty Trust, Inc. Price to Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-earnings&ticker=DLR-PL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "DLR-PL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=DLR-PL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();