Dynatrace (DT) Total Liabilities (2019 - 2026)
Dynatrace's Total Liabilities was $1.66 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 20.0% from $1.38 billion a year earlier but down 8.1% from the prior quarter.
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Analysis
Dynatrace (DT) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at Dynatrace came in at $1.8 billion, up 18.8% from FY2025.
- Total Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $1.52 billion in FY2025 (+8.9%), $1.39 billion in FY2024 (+20.1%), $1.16 billion in FY2023 (-6.2%) and $1.24 billion in FY2022 (+8.2%).
- Quarterly Total Liabilities has moved between $946.86 million (fiscal Q3 2023) and $1.8 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 14.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2025 (growth of 20.9%); the worst was fiscal Q3 2023 (a decline of 15.6%).
- Per Business Quant data, DT's Total Liabilities in the three fiscal quarters before Q1 2027 was $1.8 billion (Q4 2026), $1.35 billion (Q3 2026) and $1.3 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Dynatrace | 16.79 Bn | 12.01 Bn | 451.10 Mn | 1.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.66 Bn |
| Mar 31, 2026 | 1.80 Bn |
| Dec 31, 2025 | 1.35 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 1.38 Bn |
| Mar 31, 2025 | 1.52 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.19 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 980.51 Mn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.16 Bn |
| Dec 31, 2022 | 946.86 Mn |
| Sep 30, 2022 | 1.02 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.24 Bn |
| Dec 31, 2021 | 1.12 Bn |
| Sep 30, 2021 | 1.02 Bn |
API Access
Dynatrace Total 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-liabilities&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();