Dynatrace (DT) Operating Margin (2018 - 2026)
Dynatrace (DT) reported Operating Margin of 12.89% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.17 percentage points from 13.06% a year earlier but up 5.87 percentage points from the prior quarter.
Dynatrace (DT) Operating Margin (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dynatrace's Operating Margin came in at 12.15%, up 0.90 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 12.16%, up 1.59 percentage points from FY2025.
- Operating Margin has increased for three consecutive fiscal years, though with a five-year change of -0.90 percentage points (FY2021 to FY2026).
- By fiscal year, Operating Margin came in at 10.56% in FY2025 (+1.59 pp), 8.98% in FY2024 (+0.96 pp), 8.01% in FY2023 (-0.74 pp) and 8.75% in FY2022 (-4.31 pp).
- Five-year quarterly Operating Margin spans a low of 6.07% in fiscal Q4 2024 and a high of 14.78% in fiscal Q2 2026.
- Year over year, Operating Margin gained in six of the last eight quarters, with an average year-over-year change of +1.55 percentage points.
- The high point for year-over-year Operating Margin in five years was fiscal Q4 2025 (a gain of 3.57 percentage points); the low point was fiscal Q3 2022 (a drop of 4.37 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 7.02% (Q4 2026), 14.11% (Q3 2026) and 14.78% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.49% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 5.17% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 13.29% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 9.66% |
| 10 | Dynatrace | 16.79 Bn | 12.01 Bn | 451.10 Mn | 12.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.89% |
| Mar 31, 2026 | 7.02% |
| Dec 31, 2025 | 14.11% |
| Sep 30, 2025 | 14.78% |
| Jun 30, 2025 | 13.06% |
| Mar 31, 2025 | 9.64% |
| Dec 31, 2024 | 10.88% |
| Sep 30, 2024 | 11.25% |
| Jun 30, 2024 | 10.53% |
| Mar 31, 2024 | 6.07% |
| Dec 31, 2023 | 9.78% |
| Sep 30, 2023 | 10.03% |
| Jun 30, 2023 | 10.30% |
| Mar 31, 2023 | 6.18% |
| Dec 31, 2022 | 11.39% |
| Sep 30, 2022 | 7.30% |
| Jun 30, 2022 | 7.14% |
| Mar 31, 2022 | 6.98% |
| Dec 31, 2021 | 8.81% |
| Sep 30, 2021 | 9.39% |
Dynatrace Operating Margin 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=operating-margin&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();