Digital Realty Trust (DLR) Depreciation & Amortization (CF) (2013 - 2026)
Digital Realty Trust (DLR) posted Depreciation & Amortization (CF) of $507.1 million for Q2 2026, up 1.52% on a QoQ basis from $499.5 million in Q1 2026, and up 9.96% year-over-year from $461.2 million in Q2 2025.
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Analysis
Digital Realty Trust (DLR) Depreciation & Amortization (CF) (2013 - 2026) Analysis & Trends
Digital Realty Trust has reported Depreciation & Amortization (CF) for 14 years, with the latest figure at $507.1 million in Q2 2026.
- On a quarterly basis, Depreciation & Amortization (CF) rose 9.96% year-over-year to $507.1 million in Q2 2026; TTM through Jun 2026 was $2.0 billion, a 9.76% increase from a year earlier, with the FY2025 full-year figure at $1.9 billion, up 6.93% from the prior year.
- Depreciation & Amortization (CF) was $507.1 million for Q2 2026 at Digital Realty Trust, up from $499.5 million in the prior quarter.
- The five-year high for Depreciation & Amortization (CF) was $507.1 million in Q2 2026, with the low at $377.0 million in Q2 2022.
- Average Depreciation & Amortization (CF) over 5 years is $441.4 million, with a median of $431.8 million recorded in 2023.
- The largest YoY upside for Depreciation & Amortization (CF) was 14.75% in 2023 against a maximum downside of 2.24% in 2023.
- Over 5 years, Depreciation & Amortization (CF) stood at $430.1 million in 2022, then fell by 2.24% to $420.5 million in 2023, then increased by 8.3% to $455.4 million in 2024, then grew by 8.37% to $493.5 million in 2025, then climbed by 2.77% to $507.1 million in 2026.
- The last three Depreciation & Amortization (CF) figures came in at $507.1 million (Q2 2026), $499.5 million (Q1 2026), and $493.5 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Depreciation & Amortization (Qtr) |
|---|---|---|---|---|---|
| 1 | Digital Realty Trust | 67.37 Bn | 67.07 Bn | - | 507.11 Mn |
| 2 | Fermi | 3.18 Bn | 3.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 507.11 Mn |
| Mar 31, 2026 | 499.51 Mn |
| Dec 31, 2025 | 493.46 Mn |
| Sep 30, 2025 | 497.00 Mn |
| Jun 30, 2025 | 461.17 Mn |
| Mar 31, 2025 | 443.01 Mn |
| Dec 31, 2024 | 455.36 Mn |
| Sep 30, 2024 | 460.00 Mn |
| Jun 30, 2024 | 425.34 Mn |
| Mar 31, 2024 | 431.10 Mn |
| Dec 31, 2023 | 420.48 Mn |
| Sep 30, 2023 | 420.61 Mn |
| Jun 30, 2023 | 432.57 Mn |
| Mar 31, 2023 | 421.20 Mn |
| Dec 31, 2022 | 430.13 Mn |
| Sep 30, 2022 | 388.70 Mn |
| Jun 30, 2022 | 376.97 Mn |
| Mar 31, 2022 | 382.13 Mn |
| Dec 31, 2021 | 378.88 Mn |
| Sep 30, 2021 | 369.04 Mn |
API Access
Digital Realty Trust Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=DLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=DLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();