Dynatrace (DT) Market Capitalization (2019 - 2026)
Dynatrace (DT) recorded Market Capitalization of $12.75 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 23.5% from $16.66 billion a year earlier but up 17.0% from the prior quarter.
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Analysis
Dynatrace (DT) Market Capitalization (2019 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Dynatrace reported Market Capitalization of $10.9 billion, down 22.9% from FY2025.
- Annual Market Capitalization has a five-year compound annual growth rate of -4.4% (FY2021 to FY2026).
- Across earlier fiscal years, Market Capitalization came in at $14.14 billion in FY2025 (+2.5%), $13.79 billion in FY2024 (+12.3%), $12.28 billion in FY2023 (-8.8%) and $13.47 billion in FY2022 (-1.4%).
- Quarterly Market Capitalization has ranged from $10.02 billion in fiscal Q2 2023 to $20.23 billion in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Market Capitalization has declined for four consecutive quarters, with an average decline of 3.9% over the last eight quarters.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 74.9% in fiscal Q2 2022, against a decline of 50.5% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.9 billion (Q4 2026), $12.98 billion (Q3 2026) and $14.62 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn |
| 10 | Dynatrace | 16.71 Bn | 11.93 Bn | 451.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.75 Bn |
| Mar 31, 2026 | 10.90 Bn |
| Dec 31, 2025 | 12.98 Bn |
| Sep 30, 2025 | 14.62 Bn |
| Jun 30, 2025 | 16.66 Bn |
| Mar 31, 2025 | 14.14 Bn |
| Dec 31, 2024 | 16.27 Bn |
| Sep 30, 2024 | 15.96 Bn |
| Jun 30, 2024 | 13.34 Bn |
| Mar 31, 2024 | 13.79 Bn |
| Dec 31, 2023 | 16.18 Bn |
| Sep 30, 2023 | 13.75 Bn |
| Jun 30, 2023 | 15.09 Bn |
| Mar 31, 2023 | 12.28 Bn |
| Dec 31, 2022 | 11.07 Bn |
| Sep 30, 2022 | 10.02 Bn |
| Jun 30, 2022 | 11.33 Bn |
| Mar 31, 2022 | 13.47 Bn |
| Dec 31, 2021 | 17.24 Bn |
| Sep 30, 2021 | 20.23 Bn |
API Access
Dynatrace Market Capitalization 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=market-capitalization&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();