Dynatrace (DT) Goodwill & Intangibles (2019 - 2026)
Dynatrace (DT) posted Goodwill & Intangibles of $1.48 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 8.0% from $1.37 billion a year earlier and up 7.7% from the prior quarter.
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Analysis
Dynatrace (DT) Goodwill & Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace's Goodwill & Intangibles came in at $1.37 billion, up 0.8% from FY2025.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- In prior fiscal years, Dynatrace's Goodwill & Intangibles was $1.36 billion in FY2025 (-1.8%), $1.39 billion in FY2024 (+3.1%), $1.35 billion in FY2023 (-3.0%) and $1.39 billion in FY2022 (-2.3%).
- The fiscal Q1 2027 figure stands as the highest quarterly Goodwill & Intangibles since fiscal Q3 2020.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last three quarters, with growth averaging 0.9% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q1 2027, with growth of 8.0%; the weakest was fiscal Q2 2023, with a decline of 3.3%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $1.37 billion (Q4 2026), $1.37 billion (Q3 2026) and $1.37 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Dynatrace | 17.22 Bn | 12.43 Bn | 451.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.48 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.37 Bn |
| Sep 30, 2025 | 1.37 Bn |
| Jun 30, 2025 | 1.37 Bn |
| Mar 31, 2025 | 1.36 Bn |
| Dec 31, 2024 | 1.36 Bn |
| Sep 30, 2024 | 1.37 Bn |
| Jun 30, 2024 | 1.38 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.37 Bn |
| Sep 30, 2023 | 1.36 Bn |
| Jun 30, 2023 | 1.34 Bn |
| Mar 31, 2023 | 1.35 Bn |
| Dec 31, 2022 | 1.36 Bn |
| Sep 30, 2022 | 1.36 Bn |
| Jun 30, 2022 | 1.38 Bn |
| Mar 31, 2022 | 1.39 Bn |
| Dec 31, 2021 | 1.40 Bn |
| Sep 30, 2021 | 1.41 Bn |
API Access
Dynatrace Goodwill & 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=goodwill-and-intangibles&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();