Dynatrace (DT) Prepaid Assets (2019 - 2026)
Dynatrace (DT) reported Prepaid Assets of $104.58 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.6% from $100.91 million a year earlier but down 8.0% from the prior quarter.
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Analysis
Dynatrace (DT) Prepaid Assets (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace posted Prepaid Assets of $113.65 million, up 35.5% from FY2025.
- Prepaid Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- By fiscal year, Prepaid Assets came in at $83.9 million in FY2025 (+25.7%), $66.75 million in FY2024 (+79.0%), $37.29 million in FY2023 (-48.3%) and $72.19 million in FY2022 (+12.3%).
- Five-year quarterly Prepaid Assets spans a low of $33.03 million in fiscal Q3 2023 and a high of $113.65 million in fiscal Q4 2026.
- Year over year, Prepaid Assets has now increased in each of the last 13 quarters, with growth averaging 28.6% over the last eight quarters.
- The high point for year-over-year Prepaid Assets in five years was fiscal Q3 2022 (growth of 185.3%); the low point was fiscal Q3 2023 (a decline of 59.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $113.65 million (Q4 2026), $87.15 million (Q3 2026) and $86.52 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 | 104.58 Mn |
| Mar 31, 2026 | 113.65 Mn |
| Dec 31, 2025 | 87.15 Mn |
| Sep 30, 2025 | 86.52 Mn |
| Jun 30, 2025 | 100.91 Mn |
| Mar 31, 2025 | 83.90 Mn |
| Dec 31, 2024 | 73.13 Mn |
| Sep 30, 2024 | 68.67 Mn |
| Jun 30, 2024 | 67.44 Mn |
| Mar 31, 2024 | 66.75 Mn |
| Dec 31, 2023 | 52.30 Mn |
| Sep 30, 2023 | 53.15 Mn |
| Jun 30, 2023 | 52.44 Mn |
| Mar 31, 2023 | 37.29 Mn |
| Dec 31, 2022 | 33.03 Mn |
| Sep 30, 2022 | 39.26 Mn |
| Jun 30, 2022 | 35.44 Mn |
| Mar 31, 2022 | 72.19 Mn |
| Dec 31, 2021 | 81.33 Mn |
| Sep 30, 2021 | 80.07 Mn |
API Access
Dynatrace Prepaid Assets 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=prepaid-assets&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();