Digital Realty Trust (DLR) EBITDA (2009 - 2026)
Digital Realty Trust (DLR) reported EBITDA of $982.45 million for Q2 2026, down 39.1% from $1.61 billion a year earlier but up 26.7% from the prior quarter.
Digital Realty Trust (DLR) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Digital Realty Trust's EBITDA came in at $3.02 billion, down 13.8% year-over-year; for FY2025, it came in at $2.59 billion, up 13.8% from FY2024.
- EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- By year, EBITDA came in at $2.27 billion in FY2024 (+1.2%), $2.25 billion in FY2023 (+2.7%), $2.19 billion in FY2022 (-0.6%) and $2.2 billion in FY2021 (-4.3%).
- Five-year quarterly EBITDA spans a low of $446.96 million in Q2 2024 and a high of $1.61 billion in Q2 2025.
- Year over year, EBITDA gained in seven of the last eight quarters, with growth averaging 36.6%.
- The high point for year-over-year EBITDA in five years was Q2 2025 (growth of 260.7%); the low point was Q2 2026 (a decline of 39.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $775.53 million (Q1 2026), $615.34 million (Q4 2025) and $643.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 88.09 Bn | 81.37 Bn | 2.75 Bn | 1.79 Bn |
| 2 | Digital Realty Trust | 63.73 Bn | 55.18 Bn | - | 849.76 Mn |
| 3 | Crown Castle | 37.58 Bn | 36.25 Bn | 982.00 Mn | 651.00 Mn |
| 4 | Sba Communications | 20.08 Bn | 18.63 Bn | 542.40 Mn | 452.17 Mn |
| 5 | Lamar Advertising | 16.11 Bn | 15.91 Bn | 422.53 Mn | 294.10 Mn |
| 6 | OUTFRONT Media | 5.51 Bn | 5.25 Bn | 276.40 Mn | 154.40 Mn |
| 7 | IHS Holding | 2.83 Bn | -731.89 Mn | 207.10 Mn | - |
| 8 | Array Digital Infrastructure | 2.63 Bn | 1.52 Bn | 30.57 Mn | 413.69 Mn |
| 9 | Clear Channel Outdoor Holdings | 1.23 Bn | 518.82 Mn | 241.86 Mn | 132.81 Mn |
| 10 | Fermi | 1.05 Bn | 193.21 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 849.76 Mn |
| Jun 30, 2026 | 982.45 Mn |
| Mar 31, 2026 | 775.53 Mn |
| Dec 31, 2025 | -337.38 Mn |
| Sep 30, 2025 | 662.94 Mn |
| Jun 30, 2025 | 1.61 Bn |
| Mar 31, 2025 | 647.45 Mn |
| Dec 31, 2024 | 603.97 Mn |
| Sep 30, 2024 | 634.00 Mn |
| Jun 30, 2024 | 446.96 Mn |
| Mar 31, 2024 | 587.40 Mn |
| Dec 31, 2023 | 561.65 Mn |
| Sep 30, 2023 | 485.79 Mn |
| Jun 30, 2023 | 594.77 Mn |
| Mar 31, 2023 | 603.94 Mn |
| Dec 31, 2022 | 556.19 Mn |
| Sep 30, 2022 | 550.49 Mn |
| Jun 30, 2022 | 551.73 Mn |
| Mar 31, 2022 | 528.34 Mn |
| Dec 31, 2021 | 514.76 Mn |
Digital Realty Trust EBITDA 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=ebitda&ticker=DLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "DLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=DLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();