Dynatrace (DT) Gross Margin (2018 - 2026)
Dynatrace (DT) recorded Gross Margin of 81.34% in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.80 percentage points from 82.15% a year earlier but up 0.41 percentage points from the prior quarter.
Dynatrace (DT) Gross Margin (2018 - 2026) Analysis & Trends
On a TTM basis, Dynatrace's Gross Margin came in at 81.37% as of Jun 30, 2026, down 0.02 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 81.56%, up 0.41 percentage points from FY2025.
- Annual Gross Margin has a five-year change of -0.29 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Gross Margin came in at 81.15% in FY2025 (-0.22 pp), 81.37% in FY2024 (+0.61 pp), 80.76% in FY2023 (-0.64 pp) and 81.40% in FY2022 (-0.45 pp).
- Quarterly Gross Margin has ranged from 80.06% in fiscal Q2 2023 to 82.15% in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Gross Margin rose in four of the last eight quarters, with an average year-over-year change of 0.00 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 1.64 percentage points in fiscal Q2 2024, against a drop of 1.53 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 80.93% (Q4 2026), 81.41% (Q3 2026) and 81.82% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 78.59% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 79.63% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 60.42% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 0.03% |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 81.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.34% |
| Mar 31, 2026 | 80.93% |
| Dec 31, 2025 | 81.41% |
| Sep 30, 2025 | 81.82% |
| Jun 30, 2025 | 82.15% |
| Mar 31, 2025 | 80.88% |
| Dec 31, 2024 | 81.07% |
| Sep 30, 2024 | 81.40% |
| Jun 30, 2024 | 81.28% |
| Mar 31, 2024 | 81.13% |
| Dec 31, 2023 | 81.41% |
| Sep 30, 2023 | 81.70% |
| Jun 30, 2023 | 81.27% |
| Mar 31, 2023 | 81.06% |
| Dec 31, 2022 | 81.23% |
| Sep 30, 2022 | 80.06% |
| Jun 30, 2022 | 80.62% |
| Mar 31, 2022 | 81.03% |
| Dec 31, 2021 | 81.53% |
| Sep 30, 2021 | 81.59% |
Dynatrace Gross 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=gross-margin&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();