Dynatrace (DT) Net Cash Flow (2018 - 2026)
Dynatrace (DT) reported Net Cash Flow of -$36.65 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $217.39 million a year earlier.
Dynatrace (DT) Net Cash Flow (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dynatrace's Net Cash Flow came in at -$181.98 million; for FY2026 (ended Mar 31, 2026), it came in at $72.06 million, down 69.8% from FY2025.
- Net Cash Flow has a five-year compound annual growth rate of -7.9% (FY2021 to FY2026).
- By fiscal year, Net Cash Flow came in at $238.47 million in FY2025 (+1.2%), $235.72 million in FY2024 (+133.4%), $101 million in FY2023 (-27.5%) and $139.36 million in FY2022 (+28.1%).
- Five-year quarterly Net Cash Flow spans a low of -$145.55 million in fiscal Q3 2023 and a high of $217.39 million in fiscal Q1 2026.
- The high point for year-over-year Net Cash Flow in five years was fiscal Q4 2023 (growth of 144.2%); the low point was fiscal Q4 2026 (a decline of 91.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $9.4 million (Q4 2026), -$133.47 million (Q3 2026) and -$21.26 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 154.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 462.67 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 711.10 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | -375.13 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 7.82 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 4.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 140.92 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -796.13 Mn |
| 10 | Dynatrace | 16.71 Bn | 11.93 Bn | 451.10 Mn | -36.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.65 Mn |
| Mar 31, 2026 | 9.40 Mn |
| Dec 31, 2025 | -133.47 Mn |
| Sep 30, 2025 | -21.26 Mn |
| Jun 30, 2025 | 217.39 Mn |
| Mar 31, 2025 | 105.36 Mn |
| Dec 31, 2024 | 9.91 Mn |
| Sep 30, 2024 | -29.13 Mn |
| Jun 30, 2024 | 152.34 Mn |
| Mar 31, 2024 | -776,000.00 |
| Dec 31, 2023 | 84.93 Mn |
| Sep 30, 2023 | 5.17 Mn |
| Jun 30, 2023 | 146.41 Mn |
| Mar 31, 2023 | 132.35 Mn |
| Dec 31, 2022 | -145.55 Mn |
| Sep 30, 2022 | -1.88 Mn |
| Jun 30, 2022 | 116.08 Mn |
| Mar 31, 2022 | 54.20 Mn |
| Dec 31, 2021 | 39.11 Mn |
| Sep 30, 2021 | -15.39 Mn |
Dynatrace Net Cash Flow 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-cash-flow&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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-cash-flow&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();