Dynatrace (DT) Total Current Liabilities (2019 - 2026)
Dynatrace (DT) recorded Total Current Liabilities of $1.43 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 15.8% from $1.23 billion a year earlier but down 9.0% from the prior quarter.
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Analysis
Dynatrace (DT) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace reported Total Current Liabilities of $1.57 billion, up 13.6% from FY2025.
- Annual Total Current Liabilities has increased for six straight fiscal years, with a five-year compound annual growth rate of 19.4% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $1.38 billion in FY2025 (+9.8%), $1.26 billion in FY2024 (+21.4%), $1.04 billion in FY2023 (+19.8%) and $865.6 million in FY2022 (+33.6%).
- Quarterly Total Current Liabilities has ranged from $594.09 million in fiscal Q2 2022 to $1.57 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for 24 consecutive quarters, with growth averaging 14.1% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 9.4% (fiscal Q3 2025) and 33.6% (fiscal Q4 2022) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $1.57 billion (Q4 2026), $1.19 billion (Q3 2026) and $1.16 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Dynatrace | 16.79 Bn | 12.01 Bn | 451.10 Mn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Mar 31, 2026 | 1.57 Bn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 1.16 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | 1.05 Bn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | 958.59 Mn |
| Sep 30, 2023 | 856.37 Mn |
| Jun 30, 2023 | 899.95 Mn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 831.02 Mn |
| Sep 30, 2022 | 708.91 Mn |
| Jun 30, 2022 | 749.38 Mn |
| Mar 31, 2022 | 865.60 Mn |
| Dec 31, 2021 | 713.16 Mn |
| Sep 30, 2021 | 594.09 Mn |
API Access
Dynatrace Total 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-current-liabilities&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();