Dynatrace (DT) Tax Provisions (2018 - 2026)
Dynatrace (DT) recorded Tax Provisions of $44.15 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 32.0% from $33.44 million a year earlier and up 50.2% from the prior quarter.
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Analysis
Dynatrace (DT) Tax Provisions (2018 - 2026) Analysis & Trends
On a TTM basis, Dynatrace's Tax Provisions came in at $147.81 million as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at $137.09 million.
- Annual Tax Provisions has a five-year compound annual growth rate of 129.8% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at -$260.26 million in FY2025, $283,000 in FY2024, -$17.99 million in FY2023 and $19.21 million in FY2022 (+798.0%).
- Quarterly Tax Provisions has ranged from -$304.63 million in fiscal Q3 2025 to $44.4 million in fiscal Q3 2026 over the past five years.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 456.2% in fiscal Q3 2023, against a decline of 72.1% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $29.4 million (Q4 2026), $44.4 million (Q3 2026) and $29.86 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 13.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | -1.40 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 115.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 3.43 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 7.20 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 10.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.26 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 147.00 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 44.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.15 Mn |
| Mar 31, 2026 | 29.40 Mn |
| Dec 31, 2025 | 44.40 Mn |
| Sep 30, 2025 | 29.86 Mn |
| Jun 30, 2025 | 33.44 Mn |
| Mar 31, 2025 | 16.40 Mn |
| Dec 31, 2024 | -304.63 Mn |
| Sep 30, 2024 | 13.83 Mn |
| Jun 30, 2024 | 14.15 Mn |
| Mar 31, 2024 | -7.84 Mn |
| Dec 31, 2023 | -267,000.00 |
| Sep 30, 2023 | 4.89 Mn |
| Jun 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | -54.38 Mn |
| Dec 31, 2022 | 15.69 Mn |
| Sep 30, 2022 | 8.15 Mn |
| Jun 30, 2022 | 12.56 Mn |
| Mar 31, 2022 | 16.36 Mn |
| Dec 31, 2021 | 2.82 Mn |
| Sep 30, 2021 | -6.34 Mn |
API Access
Dynatrace Tax Provisions 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=tax-provisions&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();