Dynatrace (DT) Operating Leases (2020 - 2026)
Dynatrace (DT) recorded Operating Leases of $136.22 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 88.1% from $72.43 million a year earlier but down 3.9% from the prior quarter.
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Analysis
Dynatrace (DT) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace reported Operating Leases of $141.74 million, up 130.9% from FY2025.
- Annual Operating Leases has a five-year compound annual growth rate of 30.0% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $61.38 million in FY2025 (+13.6%), $54.01 million in FY2024 (-9.3%), $59.52 million in FY2023 (+14.3%) and $52.07 million in FY2022 (+36.3%).
- Quarterly Operating Leases has ranged from $46.68 million in fiscal Q1 2023 to $141.74 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Operating Leases has increased for nine consecutive quarters, with growth averaging 34.4% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 130.9% in fiscal Q4 2026, against a decline of 9.3% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $141.74 million (Q4 2026), $68.28 million (Q3 2026) and $69.84 million (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 | 136.22 Mn |
| Mar 31, 2026 | 141.74 Mn |
| Dec 31, 2025 | 68.28 Mn |
| Sep 30, 2025 | 69.84 Mn |
| Jun 30, 2025 | 72.43 Mn |
| Mar 31, 2025 | 61.38 Mn |
| Dec 31, 2024 | 61.22 Mn |
| Sep 30, 2024 | 65.00 Mn |
| Jun 30, 2024 | 66.06 Mn |
| Mar 31, 2024 | 54.01 Mn |
| Dec 31, 2023 | 58.00 Mn |
| Sep 30, 2023 | 59.86 Mn |
| Jun 30, 2023 | 62.69 Mn |
| Mar 31, 2023 | 59.52 Mn |
| Dec 31, 2022 | 59.59 Mn |
| Sep 30, 2022 | 54.26 Mn |
| Jun 30, 2022 | 46.68 Mn |
| Mar 31, 2022 | 52.07 Mn |
| Dec 31, 2021 | 52.98 Mn |
| Sep 30, 2021 | 54.37 Mn |
API Access
Dynatrace Operating Leases 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=operating-leases&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();