Dynatrace (DT) Amortization - Intangibles (2018 - 2026)
Dynatrace (DT) posted Amortization - Intangibles of $2.14 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 155.4% from $836,000 a year earlier and up 130.3% from the prior quarter.
Dynatrace (DT) Amortization - Intangibles (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Dynatrace was $4.79 million, down 50.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $3.49 million, down 74.2% from FY2025.
- Annual Amortization - Intangibles has declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -36.9% (FY2021 to FY2026).
- In prior fiscal years, Dynatrace's Amortization - Intangibles was $13.54 million in FY2025 (-39.3%), $22.29 million in FY2024 (-15.2%), $26.29 million in FY2023 (-12.8%) and $30.16 million in FY2022 (-13.2%).
- The fiscal Q1 2027 figure stands as the highest quarterly Amortization - Intangibles since fiscal Q3 2025.
- On a year-over-year basis, Amortization - Intangibles increased in 1 of the last seven quarters, with an average decline of 32.8%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was fiscal Q1 2027, with growth of 155.4%; the weakest was fiscal Q4 2025, with a decline of 99.8%.
- According to Business Quant data, Amortization - Intangibles for the three prior fiscal quarters was $927,000 (Q4 2026), $866,000 (Q3 2026) and $859,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.14 Mn |
| Mar 31, 2026 | 927,000.00 |
| Dec 31, 2025 | 866,000.00 |
| Sep 30, 2025 | 859,000.00 |
| Jun 30, 2025 | 836,000.00 |
| Mar 31, 2025 | 13,000.00 |
| Dec 31, 2024 | 3.98 Mn |
| Sep 30, 2024 | 4.78 Mn |
| Jun 30, 2024 | 4.78 Mn |
| Mar 31, 2024 | 5.46 Mn |
| Dec 31, 2023 | 5.45 Mn |
| Sep 30, 2023 | 5.63 Mn |
| Jun 30, 2023 | 5.76 Mn |
| Mar 31, 2023 | 6.57 Mn |
| Dec 31, 2022 | 6.57 Mn |
| Sep 30, 2022 | 6.57 Mn |
| Jun 30, 2022 | 6.57 Mn |
| Mar 31, 2022 | 7.54 Mn |
| Dec 31, 2021 | 7.54 Mn |
| Sep 30, 2021 | 7.54 Mn |
Dynatrace Amortization - 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=amortization-intangibles&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();