Digital Realty Trust (DLR) Change in Accured Expenses (2009 - 2026)
Digital Realty Trust (DLR) posted Change in Accured Expenses of $203.2 million for Q2 2026, up 219.55% on a QoQ basis from -$169.9 million in Q1 2026, and up 16.97% year-over-year from $173.7 million in Q2 2025.
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Analysis
Digital Realty Trust (DLR) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Digital Realty Trust has reported Change in Accured Expenses for 18 years, with the latest figure at $203.2 million in Q2 2026.
- On a quarterly basis, Change in Accured Expenses rose 16.97% year-over-year to $203.2 million in Q2 2026; TTM through Jun 2026 was $369.7 million, a 6.86% increase from a year earlier, with the FY2025 full-year figure at $376.3 million, up 2.62% from the prior year.
- Change in Accured Expenses was $203.2 million for Q2 2026 at Digital Realty Trust, up from -$169.9 million in the prior quarter.
- The five-year high for Change in Accured Expenses was $302.7 million in Q4 2024, with the low at -$237.1 million in Q4 2023.
- Average Change in Accured Expenses over 5 years is $33.0 million, with a median of $19.8 million recorded in 2022.
- The sharpest annual moves came in 2024 and 2025: Change in Accured Expenses tumbled 1088.25% in 2024, then surged 2137.27% in 2025.
- Over 5 years, Change in Accured Expenses stood at $36.2 million in 2022, then tumbled by 753.97% to -$237.1 million in 2023, then surged by 227.69% to $302.7 million in 2024, then slipped by 13.52% to $261.8 million in 2025, then decreased by 22.39% to $203.2 million in 2026.
- The last three Change in Accured Expenses figures came in at $203.2 million (Q2 2026), -$169.9 million (Q1 2026), and $261.8 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Accured Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Digital Realty Trust | 67.37 Bn | 67.07 Bn | - | 203.16 Mn |
| 2 | Fermi | 3.18 Bn | 3.12 Bn | - | 6.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.16 Mn |
| Mar 31, 2026 | -169.94 Mn |
| Dec 31, 2025 | 261.77 Mn |
| Sep 30, 2025 | 74.68 Mn |
| Jun 30, 2025 | 173.69 Mn |
| Mar 31, 2025 | -133.79 Mn |
| Dec 31, 2024 | 302.69 Mn |
| Sep 30, 2024 | 3.34 Mn |
| Jun 30, 2024 | 208.26 Mn |
| Mar 31, 2024 | -147.56 Mn |
| Dec 31, 2023 | -237.05 Mn |
| Sep 30, 2023 | -54.97 Mn |
| Jun 30, 2023 | 80.01 Mn |
| Mar 31, 2023 | -12.42 Mn |
| Dec 31, 2022 | 36.25 Mn |
| Sep 30, 2022 | -31.22 Mn |
| Jun 30, 2022 | 88.45 Mn |
| Mar 31, 2022 | -51.36 Mn |
| Dec 31, 2021 | 102.91 Mn |
| Sep 30, 2021 | 26.92 Mn |
API Access
Digital Realty Trust Change in Accured Expenses 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=change-in-accured-expenses&ticker=DLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();