Dynatrace (DT) Return on Equity [ROE] (2019 - 2026)
Dynatrace's Return on Equity [ROE] came in at 5.98% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 12.56 percentage points from 18.54% a year earlier and down 0.09 percentage points from the prior quarter.
Dynatrace (DT) Return on Equity [ROE] (2019 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Dynatrace's Return on Equity [ROE] was 6.22%, down 14.65 percentage points from FY2025.
- Return on Equity [ROE] carries a five-year change of -1.07 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Equity [ROE] was 20.86% in FY2025 (+12.32 pp), 8.54% in FY2024 (+1.12 pp), 7.42% in FY2023 (+3.08 pp) and 4.34% in FY2022 (-2.94 pp).
- The fiscal Q1 2027 figure represents the lowest quarterly Return on Equity [ROE] since fiscal Q3 2023.
- Year-over-year, Return on Equity [ROE] has declined for three consecutive quarters, with an average year-over-year change of +0.19 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in fiscal Q1 2026 (a gain of 10.94 percentage points), and the weakest in fiscal Q3 2026 (a drop of 13.86 percentage points).
- Business Quant data shows DT's Return on Equity [ROE] at 6.07% (Q4 2026), 6.68% (Q3 2026) and 18.49% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 1.11% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.60% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 166.87% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -53.23% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 4.25% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 4.27% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 5.53% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.31% |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 5.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.98% |
| Mar 31, 2026 | 6.07% |
| Dec 31, 2025 | 6.68% |
| Sep 30, 2025 | 18.49% |
| Jun 30, 2025 | 18.54% |
| Mar 31, 2025 | 18.70% |
| Dec 31, 2024 | 20.54% |
| Sep 30, 2024 | 7.75% |
| Jun 30, 2024 | 7.60% |
| Mar 31, 2024 | 7.87% |
| Dec 31, 2023 | 10.60% |
| Sep 30, 2023 | 9.66% |
| Jun 30, 2023 | 8.70% |
| Mar 31, 2023 | 7.03% |
| Dec 31, 2022 | 1.99% |
| Sep 30, 2022 | 2.05% |
| Jun 30, 2022 | 3.11% |
| Mar 31, 2022 | 4.07% |
| Dec 31, 2021 | 6.29% |
| Sep 30, 2021 | 6.92% |
Dynatrace Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "DT", "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-equity-%5Broe%5D&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();