Dynatrace (DT) Enterprise Value (2019 - 2026)
Dynatrace (DT) recorded Enterprise Value of $11.64 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 24.0% from $15.31 billion a year earlier but up 19.7% from the prior quarter.
Dynatrace (DT) Enterprise Value (2019 - 2026) Analysis & Trends
On a TTM basis, Dynatrace's Enterprise Value came in at $7.97 billion as of Jun 30, 2026, down 34.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $9.72 billion, down 25.3% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of -6.1% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $13.02 billion in FY2025 (+0.5%), $12.95 billion in FY2024 (+10.4%), $11.73 billion in FY2023 (-9.8%) and $13.01 billion in FY2022 (-2.4%).
- Quarterly Enterprise Value has ranged from $9.46 billion in fiscal Q2 2023 to $19.86 billion in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for four consecutive quarters, with an average decline of 5.6% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 75.4% in fiscal Q2 2022, against a decline of 52.4% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.72 billion (Q4 2026), $11.8 billion (Q3 2026) and $13.31 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Dynatrace | 16.79 Bn | 12.01 Bn | 451.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.64 Bn |
| Mar 31, 2026 | 9.72 Bn |
| Dec 31, 2025 | 11.80 Bn |
| Sep 30, 2025 | 13.31 Bn |
| Jun 30, 2025 | 15.31 Bn |
| Mar 31, 2025 | 13.02 Bn |
| Dec 31, 2024 | 15.26 Bn |
| Sep 30, 2024 | 14.96 Bn |
| Jun 30, 2024 | 12.33 Bn |
| Mar 31, 2024 | 12.95 Bn |
| Dec 31, 2023 | 15.39 Bn |
| Sep 30, 2023 | 13.05 Bn |
| Jun 30, 2023 | 14.39 Bn |
| Mar 31, 2023 | 11.73 Bn |
| Dec 31, 2022 | 10.64 Bn |
| Sep 30, 2022 | 9.46 Bn |
| Jun 30, 2022 | 10.76 Bn |
| Mar 31, 2022 | 13.01 Bn |
| Dec 31, 2021 | 16.83 Bn |
| Sep 30, 2021 | 19.86 Bn |
Dynatrace Enterprise Value 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=enterprise-value&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();