Digital Realty Trust (DLR) Exchange Rate Effect (2015 - 2026)
Digital Realty Trust (DLR) posted Exchange Rate Effect of $81.8 million for Q2 2026, up 3526.05% on a QoQ basis from -$2.4 million in Q1 2026, and up 165.52% year-over-year from $30.8 million in Q2 2025.
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Analysis
Digital Realty Trust (DLR) Exchange Rate Effect (2015 - 2026) Analysis & Trends
Digital Realty Trust has reported Exchange Rate Effect for 12 years, with the latest figure at $81.8 million in Q2 2026.
- On a quarterly basis, Exchange Rate Effect rose 165.52% year-over-year to $81.8 million in Q2 2026; TTM through Jun 2026 was $117.4 million, a 141.52% increase from a year earlier, with the FY2025 full-year figure at -$113.3 million, up 36.51% from the prior year.
- Exchange Rate Effect was $81.8 million for Q2 2026 at Digital Realty Trust, up from -$2.4 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $81.8 million in Q2 2026, with the low at -$124.9 million in Q2 2025.
- Average Exchange Rate Effect over 5 years is -$7.8 million, with a median of -$5.4 million recorded in 2023.
- The largest YoY upside for Exchange Rate Effect was 2039.11% in 2024 against a maximum downside of 325.1% in 2024.
- Over 5 years, Exchange Rate Effect stood at $78.2 million in 2022, then tumbled by 40.68% to $46.4 million in 2023, then plunged by 325.1% to -$104.4 million in 2024, then jumped by 138.75% to $40.5 million in 2025, then soared by 102.22% to $81.8 million in 2026.
- The last three Exchange Rate Effect figures came in at $81.8 million (Q2 2026), -$2.4 million (Q1 2026), and $40.5 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Digital Realty Trust | 67.37 Bn | 67.07 Bn | - | 81.81 Mn |
| 2 | Fermi | 3.18 Bn | 3.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.81 Mn |
| Mar 31, 2026 | -2.39 Mn |
| Dec 31, 2025 | 40.46 Mn |
| Sep 30, 2025 | -2.48 Mn |
| Jun 30, 2025 | -124.87 Mn |
| Mar 31, 2025 | -26.44 Mn |
| Dec 31, 2024 | -104.39 Mn |
| Sep 30, 2024 | -27.05 Mn |
| Jun 30, 2024 | -60.52 Mn |
| Mar 31, 2024 | 13.44 Mn |
| Dec 31, 2023 | 46.38 Mn |
| Sep 30, 2023 | -8.26 Mn |
| Jun 30, 2023 | -34.80 Mn |
| Mar 31, 2023 | -693,000.00 |
| Dec 31, 2022 | 78.18 Mn |
| Sep 30, 2022 | 23.00 Mn |
| Jun 30, 2022 | -11.07 Mn |
| Mar 31, 2022 | -20.04 Mn |
| Dec 31, 2021 | -32.18 Mn |
| Sep 30, 2021 | 21.78 Mn |
API Access
Digital Realty Trust Exchange Rate Effect 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=exchange-rate-effect&ticker=DLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=DLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();