Dynatrace (DT) EV to EBITDA (2020 - 2026)
Dynatrace's (DT) EV to EBITDA stood at 41.61 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 34.7% from 63.71 a year earlier but up 15.3% from the prior quarter.
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Analysis
Dynatrace (DT) EV to EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, Dynatrace's EV to EBITDA came in at 28.47 as of Jun 30, 2026, down 43.8% year-over-year; for FY2026 (ended Mar 31, 2026), it was 36.09, down 36.9% from FY2025.
- Annual EV to EBITDA has declined for four straight fiscal years.
- Across earlier fiscal years, EV to EBITDA came in at 57.23 in FY2025 (-19.0%), 70.66 in FY2024 (-11.2%), 79.56 in FY2023 (-15.5%) and 94.15 in FY2022 (+7.9%).
- Quarterly EV to EBITDA has ranged from 36.09 in fiscal Q4 2026 to 135.36 in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for seven consecutive quarters, with an average decline of 22.3% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 49.4% in fiscal Q2 2022, against a decline of 47.8% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 36.09 (Q4 2026), 42.81 (Q3 2026) and 51.59 (Q2 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.61 |
| Mar 31, 2026 | 36.09 |
| Dec 31, 2025 | 42.81 |
| Sep 30, 2025 | 51.59 |
| Jun 30, 2025 | 63.71 |
| Mar 31, 2025 | 57.23 |
| Dec 31, 2024 | 70.92 |
| Sep 30, 2024 | 73.41 |
| Jun 30, 2024 | 64.40 |
| Mar 31, 2024 | 70.66 |
| Dec 31, 2023 | 85.71 |
| Sep 30, 2023 | 73.41 |
| Jun 30, 2023 | 88.35 |
| Mar 31, 2023 | 79.54 |
| Dec 31, 2022 | 72.90 |
| Sep 30, 2022 | 70.61 |
| Jun 30, 2022 | 79.40 |
| Mar 31, 2022 | 94.14 |
| Dec 31, 2021 | 118.25 |
| Sep 30, 2021 | 135.36 |
API Access
Dynatrace EV to 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=ev-to-ebitda&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();