Dynatrace (DT) EBITDA (2018 - 2026)
Dynatrace (DT) reported EBITDA of $79.13 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 15.0% from $68.8 million a year earlier and up 81.9% from the prior quarter.
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Analysis
Dynatrace (DT) EBITDA (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dynatrace's EBITDA came in at $279.78 million, up 16.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $269.45 million, up 18.4% from FY2025.
- EBITDA has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 12.0% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $227.54 million in FY2025 (+24.1%), $183.34 million in FY2024 (+24.4%), $147.42 million in FY2023 (+6.7%) and $138.18 million in FY2022 (-9.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly EBITDA in data going back to fiscal Q1 2019.
- Year over year, EBITDA gained in seven of the last eight quarters, with growth averaging 20.6%.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2024 (growth of 47.4%); the low point was fiscal Q4 2026 (a decline of 12.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $43.51 million (Q4 2026), $78.47 million (Q3 2026) and $78.67 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 79.24 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 166.00 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 | 79.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.13 Mn |
| Mar 31, 2026 | 43.51 Mn |
| Dec 31, 2025 | 78.47 Mn |
| Sep 30, 2025 | 78.67 Mn |
| Jun 30, 2025 | 68.80 Mn |
| Mar 31, 2025 | 49.56 Mn |
| Dec 31, 2024 | 60.93 Mn |
| Sep 30, 2024 | 61.04 Mn |
| Jun 30, 2024 | 56.01 Mn |
| Mar 31, 2024 | 37.22 Mn |
| Dec 31, 2023 | 49.47 Mn |
| Sep 30, 2023 | 48.77 Mn |
| Jun 30, 2023 | 47.89 Mn |
| Mar 31, 2023 | 33.46 Mn |
| Dec 31, 2022 | 47.65 Mn |
| Sep 30, 2022 | 33.85 Mn |
| Jun 30, 2022 | 32.49 Mn |
| Mar 31, 2022 | 32.02 Mn |
| Dec 31, 2021 | 35.55 Mn |
| Sep 30, 2021 | 35.43 Mn |
API Access
Dynatrace EBITDA 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=ebitda&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();