Dynatrace (DT) Cash & Equivalents (2019 - 2026)
Dynatrace's Cash & Equivalents was $1.06 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 15.2% from $1.25 billion a year earlier and down 3.6% from the prior quarter.
Dynatrace (DT) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Dynatrace came in at $1.1 billion, up 7.9% from FY2025.
- Cash & Equivalents has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 27.6% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $1.02 billion in FY2025 (+30.6%), $778.98 million in FY2024 (+40.3%), $555.35 million in FY2023 (+20.0%) and $462.97 million in FY2022 (+42.5%).
- The fiscal Q1 2027 figure marks the lowest quarterly Cash & Equivalents since fiscal Q4 2025.
- Compared with a year earlier, Cash & Equivalents was higher in seven of the last eight quarters, with growth averaging 19.7%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2024 (growth of 85.3%); the worst was fiscal Q1 2027 (a decline of 15.2%).
- Per Business Quant data, DT's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $1.1 billion (Q4 2026), $1.09 billion (Q3 2026) and $1.23 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 928.35 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Dynatrace | 17.22 Bn | 12.43 Bn | 451.10 Mn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.09 Bn |
| Sep 30, 2025 | 1.23 Bn |
| Jun 30, 2025 | 1.25 Bn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 907.48 Mn |
| Sep 30, 2024 | 907.18 Mn |
| Jun 30, 2024 | 930.32 Mn |
| Mar 31, 2024 | 778.98 Mn |
| Dec 31, 2023 | 782.65 Mn |
| Sep 30, 2023 | 701.52 Mn |
| Jun 30, 2023 | 700.70 Mn |
| Mar 31, 2023 | 555.35 Mn |
| Dec 31, 2022 | 422.45 Mn |
| Sep 30, 2022 | 563.43 Mn |
| Jun 30, 2022 | 571.35 Mn |
| Mar 31, 2022 | 462.97 Mn |
| Dec 31, 2021 | 408.72 Mn |
| Sep 30, 2021 | 370.32 Mn |
Dynatrace Cash & Equivalents 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-and-equivalents&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();