Dynatrace (DT) Intangibles (2019 - 2026)
Dynatrace's Intangibles was $65.26 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 156.3% from $25.46 million a year earlier and up 185.6% from the prior quarter.
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Analysis
Dynatrace (DT) Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Intangibles at Dynatrace came in at $22.85 million, down 10.5% from FY2025.
- Intangibles has now declined for seven consecutive fiscal years, with a five-year compound annual growth rate of -31.3% (FY2021 to FY2026).
- In earlier fiscal years, Intangibles was $25.53 million in FY2025 (-49.9%), $51 million in FY2024 (-19.8%), $63.6 million in FY2023 (-39.9%) and $105.74 million in FY2022 (-29.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Intangibles since fiscal Q3 2023.
- Compared with a year earlier, Intangibles was higher in 1 of the last eight quarters, with an average decline of 8.1%.
- The best year-over-year quarter for Intangibles over five years was fiscal Q1 2027 (growth of 156.3%); the worst was fiscal Q3 2025 (a decline of 56.9%).
- Per Business Quant data, DT's Intangibles in the three fiscal quarters before Q1 2027 was $22.85 million (Q4 2026), $22.87 million (Q3 2026) and $24.06 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 80.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 281.58 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 214.36 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 736.00 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 65.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.26 Mn |
| Mar 31, 2026 | 22.85 Mn |
| Dec 31, 2025 | 22.87 Mn |
| Sep 30, 2025 | 24.06 Mn |
| Jun 30, 2025 | 25.46 Mn |
| Mar 31, 2025 | 25.53 Mn |
| Dec 31, 2024 | 23.35 Mn |
| Sep 30, 2024 | 31.70 Mn |
| Jun 30, 2024 | 41.16 Mn |
| Mar 31, 2024 | 51.00 Mn |
| Dec 31, 2023 | 54.12 Mn |
| Sep 30, 2023 | 52.14 Mn |
| Jun 30, 2023 | 53.92 Mn |
| Mar 31, 2023 | 63.60 Mn |
| Dec 31, 2022 | 74.07 Mn |
| Sep 30, 2022 | 84.38 Mn |
| Jun 30, 2022 | 95.01 Mn |
| Mar 31, 2022 | 105.74 Mn |
| Dec 31, 2021 | 117.91 Mn |
| Sep 30, 2021 | 128.51 Mn |
API Access
Dynatrace Intangibles 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=intangibles&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();