Dynatrace (DT) Research & Development (2018 - 2026)
Dynatrace's Research & Development was $135.99 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 25.7% from $108.17 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Dynatrace (DT) Research & Development (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dynatrace's Research & Development was $502.13 million through Jun 30, 2026, up 23.9% year-over-year; for FY2026 (ended Mar 31, 2026), it was $474.31 million, up 23.3% from FY2025.
- Research & Development has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 33.6% (FY2021 to FY2026).
- In earlier fiscal years, Research & Development was $384.57 million in FY2025 (+26.2%), $304.74 million in FY2024 (+39.6%), $218.35 million in FY2023 (+39.7%) and $156.34 million in FY2022 (+40.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Research & Development in data going back to fiscal Q1 2019.
- Compared with a year earlier, Research & Development has increased for 23 straight quarters, with growth averaging 24.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Research & Development ranged from 20.6% (fiscal Q2 2026) to 46.9% (fiscal Q3 2024).
- Per Business Quant data, DT's Research & Development in the three fiscal quarters before Q1 2027 was $130.58 million (Q4 2026), $120.57 million (Q3 2026) and $114.99 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Dynatrace | 16.79 Bn | 12.01 Bn | 451.10 Mn | 135.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.99 Mn |
| Mar 31, 2026 | 130.58 Mn |
| Dec 31, 2025 | 120.57 Mn |
| Sep 30, 2025 | 114.99 Mn |
| Jun 30, 2025 | 108.17 Mn |
| Mar 31, 2025 | 103.29 Mn |
| Dec 31, 2024 | 98.34 Mn |
| Sep 30, 2024 | 95.37 Mn |
| Jun 30, 2024 | 87.58 Mn |
| Mar 31, 2024 | 84.27 Mn |
| Dec 31, 2023 | 80.10 Mn |
| Sep 30, 2023 | 74.08 Mn |
| Jun 30, 2023 | 66.28 Mn |
| Mar 31, 2023 | 61.50 Mn |
| Dec 31, 2022 | 54.53 Mn |
| Sep 30, 2022 | 52.91 Mn |
| Jun 30, 2022 | 49.41 Mn |
| Mar 31, 2022 | 42.83 Mn |
| Dec 31, 2021 | 40.88 Mn |
| Sep 30, 2021 | 37.91 Mn |
API Access
Dynatrace Research & Development 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=research-and-development&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();