Dynatrace (DT) Amortizatization of Intangibles (2018 - 2026)
Dynatrace (DT) recorded Amortizatization of Intangibles of $2.91 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 113.3% from $1.37 million a year earlier and up 99.3% from the prior quarter.
Dynatrace (DT) Amortizatization of Intangibles (2018 - 2026) Analysis & Trends
On a TTM basis, Dynatrace's Amortizatization of Intangibles came in at $7.16 million as of Jun 30, 2026, down 65.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $5.61 million, down 80.6% from FY2025.
- Annual Amortizatization of Intangibles has declined for eight straight fiscal years, with a five-year compound annual growth rate of -35.9% (FY2021 to FY2026).
- Across earlier fiscal years, Amortizatization of Intangibles came in at $28.87 million in FY2025 (-26.8%), $39.44 million in FY2024 (-6.2%), $42.07 million in FY2023 (-9.0%) and $46.24 million in FY2022 (-11.0%).
- The fiscal Q1 2027 figure is the highest quarterly Amortizatization of Intangibles since fiscal Q3 2025.
- On a year-over-year basis, Amortizatization of Intangibles rose in three of the last eight quarters, with an average decline of 28.5%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 113.3% in fiscal Q1 2027, against a decline of 87.8% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.46 million (Q4 2026), $1.4 million (Q3 2026) and $1.39 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | 13.30 Mn |
| 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 | 2.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.91 Mn |
| Mar 31, 2026 | 1.46 Mn |
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 1.39 Mn |
| Jun 30, 2025 | 1.37 Mn |
| Mar 31, 2025 | 1.27 Mn |
| Dec 31, 2024 | 8.25 Mn |
| Sep 30, 2024 | 9.68 Mn |
| Jun 30, 2024 | 9.67 Mn |
| Mar 31, 2024 | 10.37 Mn |
| Dec 31, 2023 | 9.86 Mn |
| Sep 30, 2023 | 9.53 Mn |
| Jun 30, 2023 | 9.68 Mn |
| Mar 31, 2023 | 10.50 Mn |
| Dec 31, 2022 | 10.50 Mn |
| Sep 30, 2022 | 10.50 Mn |
| Jun 30, 2022 | 10.60 Mn |
| Mar 31, 2022 | 11.54 Mn |
| Dec 31, 2021 | 11.60 Mn |
| Sep 30, 2021 | 11.60 Mn |
Dynatrace Amortizatization of 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=amortizatization-of-intangibles&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();