Dynatrace (DT) Non-Current Deffered Revenue (2019 - 2026)
Dynatrace's Non-Current Deffered Revenue came in at $49.79 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.5% from $47.19 million a year earlier but down 6.7% from the prior quarter.
Dynatrace (DT) Non-Current Deffered Revenue (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace's Non-Current Deffered Revenue was $53.39 million, up 4.7% from FY2025.
- Non-Current Deffered Revenue carries a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Deffered Revenue was $50.99 million in FY2025 (-18.2%), $62.31 million in FY2024 (+81.0%), $34.42 million in FY2023 (+33.5%) and $25.78 million in FY2022 (-45.7%).
- The five-year range for quarterly Non-Current Deffered Revenue is $16.35 million (fiscal Q1 2023) to $62.31 million (fiscal Q4 2024).
- Year-over-year, Non-Current Deffered Revenue increased in four of the last eight quarters, with growth averaging 7.9%.
- The fastest year-over-year change in Non-Current Deffered Revenue over five years came in fiscal Q2 2024 (growth of 98.1%), and the weakest in fiscal Q1 2023 (a decline of 51.5%).
- Business Quant data shows DT's Non-Current Deffered Revenue at $53.39 million (Q4 2026), $52.79 million (Q3 2026) and $42.98 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 7.01 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.35 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.83 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 27.76 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 50.86 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 30.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 385.66 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 445.27 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 49.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.79 Mn |
| Mar 31, 2026 | 53.39 Mn |
| Dec 31, 2025 | 52.79 Mn |
| Sep 30, 2025 | 42.98 Mn |
| Jun 30, 2025 | 47.19 Mn |
| Mar 31, 2025 | 50.99 Mn |
| Dec 31, 2024 | 54.94 Mn |
| Sep 30, 2024 | 54.88 Mn |
| Jun 30, 2024 | 52.18 Mn |
| Mar 31, 2024 | 62.31 Mn |
| Dec 31, 2023 | 38.51 Mn |
| Sep 30, 2023 | 33.59 Mn |
| Jun 30, 2023 | 28.71 Mn |
| Mar 31, 2023 | 34.42 Mn |
| Dec 31, 2022 | 25.78 Mn |
| Sep 30, 2022 | 16.95 Mn |
| Jun 30, 2022 | 16.35 Mn |
| Mar 31, 2022 | 25.78 Mn |
| Dec 31, 2021 | 30.94 Mn |
| Sep 30, 2021 | 22.63 Mn |
Dynatrace Non-Current Deffered 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=non-current-deffered-revenue&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-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=non-current-deffered-revenue&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();