Dynatrace (DT) Non-Current Assets (2019 - 2026)
Dynatrace's Non-Current Assets was $2.39 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 7.0% from $2.23 billion a year earlier and up 4.1% from the prior quarter.
Dynatrace (DT) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Non-Current Assets at Dynatrace came in at $2.29 billion, up 3.8% from FY2025.
- Non-Current Assets has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $2.21 billion in FY2025 (+22.4%), $1.8 billion in FY2024 (+9.6%), $1.65 billion in FY2023 (+3.4%) and $1.59 billion in FY2022 (+1.1%).
- The fiscal Q1 2027 figure marks the highest quarterly Non-Current Assets in data going back to fiscal Q4 2019.
- Compared with a year earlier, Non-Current Assets has increased for 14 straight quarters, with growth averaging 14.5% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q3 2025 (growth of 26.1%); the worst was fiscal Q2 2023 (a decline of 1.2%).
- Per Business Quant data, DT's Non-Current Assets in the three fiscal quarters before Q1 2027 was $2.29 billion (Q4 2026), $2.23 billion (Q3 2026) and $2.24 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Dynatrace | 16.79 Bn | 12.01 Bn | 451.10 Mn | 2.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Bn |
| Mar 31, 2026 | 2.29 Bn |
| Dec 31, 2025 | 2.23 Bn |
| Sep 30, 2025 | 2.24 Bn |
| Jun 30, 2025 | 2.23 Bn |
| Mar 31, 2025 | 2.21 Bn |
| Dec 31, 2024 | 2.16 Bn |
| Sep 30, 2024 | 1.85 Bn |
| Jun 30, 2024 | 1.83 Bn |
| Mar 31, 2024 | 1.80 Bn |
| Dec 31, 2023 | 1.71 Bn |
| Sep 30, 2023 | 1.68 Bn |
| Jun 30, 2023 | 1.65 Bn |
| Mar 31, 2023 | 1.65 Bn |
| Dec 31, 2022 | 1.58 Bn |
| Sep 30, 2022 | 1.57 Bn |
| Jun 30, 2022 | 1.57 Bn |
| Mar 31, 2022 | 1.59 Bn |
| Dec 31, 2021 | 1.59 Bn |
| Sep 30, 2021 | 1.59 Bn |
Dynatrace Non-Current 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=non-current-assets&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();