Dynatrace (DT) Other Non-Current Liabilities (2019 - 2026)
Dynatrace (DT) posted Other Non-Current Liabilities of $43.33 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 44.1% from $30.07 million a year earlier and up 13.4% from the prior quarter.
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Analysis
Dynatrace (DT) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace's Other Non-Current Liabilities came in at $38.21 million, up 56.2% from FY2025.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 18.9% (FY2021 to FY2026).
- In prior fiscal years, Dynatrace's Other Non-Current Liabilities was $24.45 million in FY2025 (+32.9%), $18.4 million in FY2024 (-37.0%), $29.21 million in FY2023 (+50.5%) and $19.41 million in FY2022 (+20.8%).
- The fiscal Q1 2027 figure stands as the highest quarterly Other Non-Current Liabilities since fiscal Q1 2020.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last six quarters, with growth averaging 37.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q3 2026, with growth of 117.6%; the weakest was fiscal Q3 2025, with a decline of 44.7%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $38.21 million (Q4 2026), $35.98 million (Q3 2026) and $30.87 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.33 Mn |
| Mar 31, 2026 | 38.21 Mn |
| Dec 31, 2025 | 35.98 Mn |
| Sep 30, 2025 | 30.87 Mn |
| Jun 30, 2025 | 30.07 Mn |
| Mar 31, 2025 | 24.45 Mn |
| Dec 31, 2024 | 16.53 Mn |
| Sep 30, 2024 | 16.93 Mn |
| Jun 30, 2024 | 19.57 Mn |
| Mar 31, 2024 | 18.40 Mn |
| Dec 31, 2023 | 29.92 Mn |
| Sep 30, 2023 | 30.39 Mn |
| Jun 30, 2023 | 30.72 Mn |
| Mar 31, 2023 | 29.21 Mn |
| Dec 31, 2022 | 30.45 Mn |
| Sep 30, 2022 | 25.24 Mn |
| Jun 30, 2022 | 28.18 Mn |
| Mar 31, 2022 | 19.41 Mn |
| Dec 31, 2021 | 20.05 Mn |
| Sep 30, 2021 | 16.53 Mn |
API Access
Dynatrace Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();