Dynatrace (DT) Cash from Operations (2018 - 2026)
Dynatrace (DT) posted Cash from Operations of $306.24 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.6% from $269.69 million a year earlier and up 35.3% from the prior quarter.
Dynatrace (DT) Cash from Operations (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Dynatrace was $598.4 million, up 20.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $561.85 million, up 22.3% from FY2025.
- Annual Cash from Operations has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 20.6% (FY2021 to FY2026).
- In prior fiscal years, Dynatrace's Cash from Operations was $459.42 million in FY2025 (+21.5%), $378.11 million in FY2024 (+6.5%), $354.89 million in FY2023 (+41.4%) and $250.92 million in FY2022 (+13.8%).
- The fiscal Q1 2027 figure stands as the highest quarterly Cash from Operations in data going back to fiscal Q1 2019.
- On a year-over-year basis, Cash from Operations increased in five of the last eight quarters, with growth averaging 3.6%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was fiscal Q1 2025, with growth of 72.3%; the weakest was fiscal Q3 2025, with a decline of 44.2%.
- According to Business Quant data, Cash from Operations for the three prior fiscal quarters was $226.36 million (Q4 2026), $33.78 million (Q3 2026) and $32.02 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 1.36 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 530.27 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 1.04 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 91.36 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 315.87 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 234.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 20.08 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 506.00 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 306.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 306.24 Mn |
| Mar 31, 2026 | 226.36 Mn |
| Dec 31, 2025 | 33.78 Mn |
| Sep 30, 2025 | 32.02 Mn |
| Jun 30, 2025 | 269.69 Mn |
| Mar 31, 2025 | 162.79 Mn |
| Dec 31, 2024 | 42.24 Mn |
| Sep 30, 2024 | 23.65 Mn |
| Jun 30, 2024 | 230.74 Mn |
| Mar 31, 2024 | 131.67 Mn |
| Dec 31, 2023 | 75.66 Mn |
| Sep 30, 2023 | 36.88 Mn |
| Jun 30, 2023 | 133.90 Mn |
| Mar 31, 2023 | 120.43 Mn |
| Dec 31, 2022 | 61.96 Mn |
| Sep 30, 2022 | 29.40 Mn |
| Jun 30, 2022 | 143.10 Mn |
| Mar 31, 2022 | 88.31 Mn |
| Dec 31, 2021 | 60.84 Mn |
| Sep 30, 2021 | 18.30 Mn |
Dynatrace Cash from Operations 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=cash-from-operations&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();