Dynatrace (DT) Revenue (2018 - 2026)
Dynatrace's Revenue came in at $554.55 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 16.2% from $477.35 million a year earlier and up 4.3% from the prior quarter.
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Analysis
Dynatrace (DT) Revenue (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dynatrace reported Revenue of $2.1 billion, up 17.9% year-over-year; for FY2026 (ended Mar 31, 2026), it was $2.02 billion, up 18.8% from FY2025.
- Revenue has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 23.5% (FY2021 to FY2026).
- Going back by fiscal year, Revenue was $1.7 billion in FY2025 (+18.7%), $1.43 billion in FY2024 (+23.5%), $1.16 billion in FY2023 (+24.6%) and $929.45 million in FY2022 (+32.1%).
- The fiscal Q1 2027 figure represents the highest quarterly Revenue in data going back to fiscal Q1 2019.
- Year-over-year, Revenue has increased for 29 consecutive quarters, with growth averaging 18.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 16.2% in fiscal Q1 2027 to 34.3% in fiscal Q2 2022.
- Business Quant data shows DT's Revenue at $531.72 million (Q4 2026), $515.47 million (Q3 2026) and $493.85 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | Dynatrace | 16.79 Bn | 12.01 Bn | 451.10 Mn | 554.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 554.55 Mn |
| Mar 31, 2026 | 531.72 Mn |
| Dec 31, 2025 | 515.47 Mn |
| Sep 30, 2025 | 493.85 Mn |
| Jun 30, 2025 | 477.35 Mn |
| Mar 31, 2025 | 445.17 Mn |
| Dec 31, 2024 | 436.17 Mn |
| Sep 30, 2024 | 418.13 Mn |
| Jun 30, 2024 | 399.22 Mn |
| Mar 31, 2024 | 380.85 Mn |
| Dec 31, 2023 | 365.10 Mn |
| Sep 30, 2023 | 351.70 Mn |
| Jun 30, 2023 | 332.89 Mn |
| Mar 31, 2023 | 314.48 Mn |
| Dec 31, 2022 | 297.46 Mn |
| Sep 30, 2022 | 279.33 Mn |
| Jun 30, 2022 | 267.27 Mn |
| Mar 31, 2022 | 252.59 Mn |
| Dec 31, 2021 | 240.77 Mn |
| Sep 30, 2021 | 226.35 Mn |
API Access
Dynatrace Revenue 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=revenue&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();