Dynatrace (DT) Other Operating Expenses (2018 - 2026)
Dynatrace (DT) reported Other Operating Expenses of $177.15 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 10.6% from $160.23 million a year earlier but down 10.2% from the prior quarter.
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Analysis
Dynatrace (DT) Other Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dynatrace's Other Operating Expenses came in at $707.55 million, up 15.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $690.62 million, up 15.1% from FY2025.
- Other Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 20.6% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $599.9 million in FY2025 (+10.9%), $541.03 million in FY2024 (+17.2%), $461.63 million in FY2023 (+21.0%) and $381.61 million in FY2022 (+40.7%).
- Five-year quarterly Other Operating Expenses spans a low of $91.27 million in fiscal Q2 2022 and a high of $197.29 million in fiscal Q4 2026.
- Year over year, Other Operating Expenses has now increased in each of the last 23 quarters, with growth averaging 12.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 3.9% in fiscal Q4 2025 to 44.5% in fiscal Q2 2022.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $197.29 million (Q4 2026), $169.73 million (Q3 2026) and $163.37 million (Q2 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 177.15 Mn |
| Mar 31, 2026 | 197.29 Mn |
| Dec 31, 2025 | 169.73 Mn |
| Sep 30, 2025 | 163.37 Mn |
| Jun 30, 2025 | 160.23 Mn |
| Mar 31, 2025 | 156.43 Mn |
| Dec 31, 2024 | 153.23 Mn |
| Sep 30, 2024 | 144.67 Mn |
| Jun 30, 2024 | 145.58 Mn |
| Mar 31, 2024 | 150.52 Mn |
| Dec 31, 2023 | 134.28 Mn |
| Sep 30, 2023 | 129.26 Mn |
| Jun 30, 2023 | 126.96 Mn |
| Mar 31, 2023 | 127.61 Mn |
| Dec 31, 2022 | 115.60 Mn |
| Sep 30, 2022 | 108.97 Mn |
| Jun 30, 2022 | 109.45 Mn |
| Mar 31, 2022 | 105.96 Mn |
| Dec 31, 2021 | 98.83 Mn |
| Sep 30, 2021 | 91.27 Mn |
API Access
Dynatrace Other Operating Expenses 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=other-operating-expenses&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();