Dynatrace (DT) Accumulated Expenses (2019 - 2026)
Dynatrace recorded quarterly Accumulated Expenses of $302.3 million in Q1 2026, up 25.93% quarter-over-quarter from $240.0 million in Q4 2025, and up 19.71% year-over-year from $252.5 million in Q1 2025.
Dynatrace's Accumulated Expenses history runs 8 years deep, the most recent figure standing at $302.3 million for Q1 2026.
- In Q1 2026, Accumulated Expenses rose 19.71% year-over-year to $302.3 million; the TTM figure through Mar 2026 stood at $302.3 million (up 19.71% YoY), while the FY2026 annual figure was $302.3 million, up 19.71% from the prior year.
- Accumulated Expenses came in at $302.3 million for Q1 2026 at Dynatrace, up from $240.0 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $302.3 million in Q1 2026 to a low of $114.2 million in Q2 2022.
- A 5-year average of $191.8 million and a median of $188.4 million in 2023 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses jumped 42.28% in 2024 and gained 8.06% in 2025, its largest moves.
- Dynatrace's Accumulated Expenses stood at $154.1 million in 2022, then grew by 11.58% to $171.9 million in 2023, then climbed by 23.96% to $213.1 million in 2024, then gained by 12.62% to $240.0 million in 2025, then grew by 25.93% to $302.3 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $302.3 million, $240.0 million, and $230.0 million for Q1 2026, Q4 2025, and Q3 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Sap Se | 253.17 Bn | 235.20 Bn | 8.16 Bn |
| 2 | Salesforce | 171.07 Bn | 161.50 Bn | 8.69 Bn |
| 3 | Uber Technologies | 151.10 Bn | 150.06 Bn | 11.88 Bn |
| 4 | Shopify | 134.25 Bn | 128.50 Bn | 1.55 Bn |
| 5 | ServiceNow | 105.72 Bn | 100.54 Bn | 2.83 Bn |
| 6 | Cadence Design Systems | 101.64 Bn | 100.23 Bn | 1.26 Bn |
| 7 | Adobe | 100.35 Bn | 93.46 Bn | 5.73 Bn |
| 8 | Automatic Data Processing | 90.91 Bn | 87.68 Bn | 2.87 Bn |
| 9 | Intuit | 88.30 Bn | 81.52 Bn | 6.77 Bn |
| 10 | Dynatrace | 12.37 Bn | 11.20 Bn | 430.32 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 302.26 Mn |
| Dec 31, 2025 | 240.02 Mn |
| Sep 30, 2025 | 230.03 Mn |
| Jun 30, 2025 | 207.02 Mn |
| Mar 31, 2025 | 252.50 Mn |
| Dec 31, 2024 | 213.13 Mn |
| Sep 30, 2024 | 208.83 Mn |
| Jun 30, 2024 | 169.90 Mn |
| Mar 31, 2024 | 233.68 Mn |
| Dec 31, 2023 | 171.93 Mn |
| Sep 30, 2023 | 146.78 Mn |
| Jun 30, 2023 | 156.15 Mn |
| Mar 31, 2023 | 188.38 Mn |
| Dec 31, 2022 | 154.08 Mn |
| Sep 30, 2022 | 129.98 Mn |
| Jun 30, 2022 | 114.21 Mn |
| Mar 31, 2022 | 141.56 Mn |
| Dec 31, 2021 | 116.15 Mn |
| Sep 30, 2021 | 105.42 Mn |
| Jun 30, 2021 | 98.96 Mn |
| Mar 31, 2021 | 119.53 Mn |
| Dec 31, 2020 | 104.79 Mn |
| Sep 30, 2020 | 84.50 Mn |
| Jun 30, 2020 | 74.91 Mn |
| Mar 31, 2020 | 95.01 Mn |
| Dec 31, 2019 | 86.19 Mn |
| Sep 30, 2019 | 78.70 Mn |
| Jun 30, 2019 | 51.75 Mn |
| Mar 31, 2019 | 64.92 Mn |