Dynatrace (DT) Depreciation and Depletion (2018 - 2026)
Dynatrace's Depreciation and Depletion was $4.74 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 7.0% from $5.1 million a year earlier but up 0.8% from the prior quarter.
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Analysis
Dynatrace (DT) Depreciation and Depletion (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dynatrace's Depreciation and Depletion was $18.09 million through Jun 30, 2026, down 9.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $18.45 million, down 4.1% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of 15.4% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $19.24 million in FY2025 (+24.1%), $15.5 million in FY2024 (+23.6%), $12.54 million in FY2023 (+17.9%) and $10.64 million in FY2022 (+17.9%).
- Quarterly Depreciation and Depletion has moved between $2.57 million (fiscal Q2 2022) and $5.39 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion has declined for four straight quarters, with growth averaging 8.7% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2025 (growth of 44.8%); the worst was fiscal Q3 2026 (a decline of 16.9%).
- Per Business Quant data, DT's Depreciation and Depletion in the three fiscal quarters before Q1 2027 was $4.7 million (Q4 2026), $4.34 million (Q3 2026) and $4.31 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | - |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | - |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 993,000.00 |
| 10 | Dynatrace | 17.22 Bn | 12.43 Bn | 451.10 Mn | 4.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.74 Mn |
| Mar 31, 2026 | 4.70 Mn |
| Dec 31, 2025 | 4.34 Mn |
| Sep 30, 2025 | 4.31 Mn |
| Jun 30, 2025 | 5.10 Mn |
| Mar 31, 2025 | 5.39 Mn |
| Dec 31, 2024 | 5.22 Mn |
| Sep 30, 2024 | 4.33 Mn |
| Jun 30, 2024 | 4.31 Mn |
| Mar 31, 2024 | 3.72 Mn |
| Dec 31, 2023 | 3.89 Mn |
| Sep 30, 2023 | 3.97 Mn |
| Jun 30, 2023 | 3.92 Mn |
| Mar 31, 2023 | 3.53 Mn |
| Dec 31, 2022 | 3.27 Mn |
| Sep 30, 2022 | 2.95 Mn |
| Jun 30, 2022 | 2.80 Mn |
| Mar 31, 2022 | 2.85 Mn |
| Dec 31, 2021 | 2.74 Mn |
| Sep 30, 2021 | 2.57 Mn |
API Access
Dynatrace Depreciation and Depletion 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=depreciation-and-depletion&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();