Dynatrace (DT) Operating Income (2018 - 2026)
Dynatrace's Operating Income came in at $71.48 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 14.7% from $62.34 million a year earlier and up 91.4% from the prior quarter.
Dynatrace (DT) Operating Income (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dynatrace reported Operating Income of $254.53 million, up 27.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $245.39 million, up 36.8% from FY2025.
- Operating Income has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 21.7% (FY2021 to FY2026).
- Going back by fiscal year, Operating Income was $179.43 million in FY2025 (+39.7%), $128.4 million in FY2024 (+38.3%), $92.81 million in FY2023 (+14.1%) and $81.31 million in FY2022 (-11.5%).
- The five-year range for quarterly Operating Income is $17.63 million (fiscal Q4 2022) to $72.97 million (fiscal Q2 2026).
- Year-over-year, Operating Income increased in seven of the last eight quarters, with growth averaging 38.8%.
- The fastest year-over-year change in Operating Income over five years came in fiscal Q4 2025 (growth of 85.6%), and the weakest in fiscal Q4 2022 (a decline of 15.5%).
- Business Quant data shows DT's Operating Income at $37.34 million (Q4 2026), $72.74 million (Q3 2026) and $72.97 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 172.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | -33.23 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 689.30 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | -262.97 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 5.46 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 107.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 46.78 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 446.00 Mn |
| 10 | Dynatrace | 16.71 Bn | 11.93 Bn | 451.10 Mn | 71.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.48 Mn |
| Mar 31, 2026 | 37.34 Mn |
| Dec 31, 2025 | 72.74 Mn |
| Sep 30, 2025 | 72.97 Mn |
| Jun 30, 2025 | 62.34 Mn |
| Mar 31, 2025 | 42.91 Mn |
| Dec 31, 2024 | 47.46 Mn |
| Sep 30, 2024 | 47.03 Mn |
| Jun 30, 2024 | 42.03 Mn |
| Mar 31, 2024 | 23.12 Mn |
| Dec 31, 2023 | 35.72 Mn |
| Sep 30, 2023 | 35.27 Mn |
| Jun 30, 2023 | 34.29 Mn |
| Mar 31, 2023 | 19.43 Mn |
| Dec 31, 2022 | 33.89 Mn |
| Sep 30, 2022 | 20.40 Mn |
| Jun 30, 2022 | 19.09 Mn |
| Mar 31, 2022 | 17.63 Mn |
| Dec 31, 2021 | 21.22 Mn |
| Sep 30, 2021 | 21.25 Mn |
Dynatrace Operating 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=operating-income&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();