Dynatrace (DT) Net Income (2018 - 2026)
Dynatrace's Net Income came in at $36.65 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 23.6% from $47.96 million a year earlier but up 110.4% from the prior quarter.
Dynatrace (DT) Net Income (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dynatrace reported Net Income of $151.37 million, down 69.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $162.67 million, down 66.4% from FY2025.
- Net Income carries a five-year compound annual growth rate of 16.5% (FY2021 to FY2026).
- Going back by fiscal year, Net Income was $483.68 million in FY2025 (+212.8%), $154.63 million in FY2024 (+43.2%), $107.96 million in FY2023 (+105.8%) and $52.45 million in FY2022 (-30.7%).
- The five-year range for quarterly Net Income is $929,000 (fiscal Q4 2022) to $361.75 million (fiscal Q3 2025).
- Year-over-year, Net Income has declined for three consecutive quarters, with growth averaging 82.5% over the last eight quarters.
- The fastest year-over-year change in Net Income over five years came in fiscal Q3 2025 (growth of 747.4%), and the weakest in fiscal Q4 2022 (a decline of 96.6%).
- Business Quant data shows DT's Net Income at $17.42 million (Q4 2026), $40.06 million (Q3 2026) and $57.24 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | -282.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 5.31 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 605.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -191.72 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 44.53 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 116.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 29.43 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 324.27 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 36.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.65 Mn |
| Mar 31, 2026 | 17.42 Mn |
| Dec 31, 2025 | 40.06 Mn |
| Sep 30, 2025 | 57.24 Mn |
| Jun 30, 2025 | 47.96 Mn |
| Mar 31, 2025 | 39.30 Mn |
| Dec 31, 2024 | 361.75 Mn |
| Sep 30, 2024 | 44.01 Mn |
| Jun 30, 2024 | 38.62 Mn |
| Mar 31, 2024 | 37.94 Mn |
| Dec 31, 2023 | 42.69 Mn |
| Sep 30, 2023 | 35.81 Mn |
| Jun 30, 2023 | 38.19 Mn |
| Mar 31, 2023 | 80.29 Mn |
| Dec 31, 2022 | 15.03 Mn |
| Sep 30, 2022 | 10.53 Mn |
| Jun 30, 2022 | 2.11 Mn |
| Mar 31, 2022 | 929,000.00 |
| Dec 31, 2021 | 14.59 Mn |
| Sep 30, 2021 | 23.64 Mn |
Dynatrace Net Income 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=net-income&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();