Dynatrace (DT) Total Non-Current Liabilities (2019 - 2026)
Dynatrace (DT) posted Total Non-Current Liabilities of $1.62 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 19.4% from $1.35 billion a year earlier but down 8.5% from the prior quarter.
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Analysis
Dynatrace (DT) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace's Total Non-Current Liabilities came in at $1.77 billion, up 18.2% from FY2025.
- Annual Total Non-Current Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- In prior fiscal years, Dynatrace's Total Non-Current Liabilities was $1.49 billion in FY2025 (+8.6%), $1.38 billion in FY2024 (+21.6%), $1.13 billion in FY2023 (-7.1%) and $1.22 billion in FY2022 (+8.1%).
- Quarterly Total Non-Current Liabilities has run from a low of $916.41 million in fiscal Q3 2023 to a high of $1.77 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 11 quarters, with growth averaging 14.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q2 2025, with growth of 23.0%; the weakest was fiscal Q3 2023, with a decline of 16.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $1.77 billion (Q4 2026), $1.32 billion (Q3 2026) and $1.27 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Dynatrace | 16.71 Bn | 11.93 Bn | 451.10 Mn | 1.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.62 Bn |
| Mar 31, 2026 | 1.77 Bn |
| Dec 31, 2025 | 1.32 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.35 Bn |
| Mar 31, 2025 | 1.49 Bn |
| Dec 31, 2024 | 1.17 Bn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.38 Bn |
| Dec 31, 2023 | 1.06 Bn |
| Sep 30, 2023 | 950.11 Mn |
| Jun 30, 2023 | 991.66 Mn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 916.41 Mn |
| Sep 30, 2022 | 995.07 Mn |
| Jun 30, 2022 | 1.06 Bn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 1.10 Bn |
| Sep 30, 2021 | 1.01 Bn |
API Access
Dynatrace Total 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=total-non-current-liabilities&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();