Digital Realty Trust, Inc. (DLR) Return on Sales [ROS] (2009 - 2026)
Digital Realty Trust (DLR) recorded Return on Sales [ROS] of 24.28% in Q2 2026, down 52.30 percentage points from 76.58% a year earlier but up 7.91 percentage points from the prior quarter.
Digital Realty Trust, Inc. (DLR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Digital Realty Trust's Return on Sales [ROS] came in at 14.56% as of Jun 30, 2026, down 14.10 percentage points year-over-year; for FY2025, it was 10.77%, up 2.28 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -3.51 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 8.49% in FY2024 (-1.08 pp), 9.58% in FY2023 (-3.00 pp), 12.57% in FY2022 (-3.10 pp) and 15.67% in FY2021 (+1.39 pp).
- Quarterly Return on Sales [ROS] has ranged from 0.73% in Q2 2024 to 76.58% in Q2 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +3.81 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 75.86 percentage points in Q2 2025, against a drop of 52.30 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.38% (Q1 2026), 6.89% (Q4 2025) and 8.78% (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.28% |
| Mar 31, 2026 | 16.38% |
| Dec 31, 2025 | 6.89% |
| Sep 30, 2025 | 8.78% |
| Jun 30, 2025 | 76.58% |
| Mar 31, 2025 | 13.99% |
| Dec 31, 2024 | 10.05% |
| Sep 30, 2024 | 11.76% |
| Jun 30, 2024 | 0.73% |
| Mar 31, 2024 | 11.22% |
| Dec 31, 2023 | 9.79% |
| Sep 30, 2023 | 4.15% |
| Jun 30, 2023 | 11.33% |
| Mar 31, 2023 | 13.25% |
| Dec 31, 2022 | 9.81% |
| Sep 30, 2022 | 13.20% |
| Jun 30, 2022 | 14.95% |
| Mar 31, 2022 | 12.53% |
| Dec 31, 2021 | 11.83% |
| Sep 30, 2021 | 16.27% |
Digital Realty Trust, Inc. Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();