Dynatrace (DT) Cost of Revenue (2018 - 2026)
Dynatrace (DT) posted Cost of Revenue of $103.45 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 21.4% from $85.21 million a year earlier and up 2.0% from the prior quarter.
Dynatrace (DT) Cost of Revenue (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Dynatrace was $390.45 million, up 18.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $372.2 million, up 16.2% from FY2025.
- Annual Cost of Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 23.9% (FY2021 to FY2026).
- In prior fiscal years, Dynatrace's Cost of Revenue was $320.19 million in FY2025 (+20.2%), $266.45 million in FY2024 (+19.5%), $222.89 million in FY2023 (+28.9%) and $172.88 million in FY2022 (+35.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2019.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 23 quarters, with growth averaging 18.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 14.0% (fiscal Q1 2026) to 35.7% (fiscal Q2 2022).
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $101.4 million (Q4 2026), $95.84 million (Q3 2026) and $89.76 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Dynatrace | 17.22 Bn | 12.43 Bn | 451.10 Mn | 103.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.45 Mn |
| Mar 31, 2026 | 101.40 Mn |
| Dec 31, 2025 | 95.84 Mn |
| Sep 30, 2025 | 89.76 Mn |
| Jun 30, 2025 | 85.21 Mn |
| Mar 31, 2025 | 85.09 Mn |
| Dec 31, 2024 | 82.56 Mn |
| Sep 30, 2024 | 77.78 Mn |
| Jun 30, 2024 | 74.75 Mn |
| Mar 31, 2024 | 71.87 Mn |
| Dec 31, 2023 | 67.87 Mn |
| Sep 30, 2023 | 64.37 Mn |
| Jun 30, 2023 | 62.34 Mn |
| Mar 31, 2023 | 59.57 Mn |
| Dec 31, 2022 | 55.82 Mn |
| Sep 30, 2022 | 55.70 Mn |
| Jun 30, 2022 | 51.80 Mn |
| Mar 31, 2022 | 47.92 Mn |
| Dec 31, 2021 | 44.46 Mn |
| Sep 30, 2021 | 41.67 Mn |
Dynatrace Cost of Revenue 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=cost-of-revenue&ticker=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();