Dynatrace (DT) Shares Outstanding (2018 - 2026)
Dynatrace (DT) posted Shares Outstanding of 292.2 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.6% from 300.15 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Dynatrace (DT) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Dynatrace's Shares Outstanding came in at 300.1 million, up 0.6% from FY2025.
- Annual Shares Outstanding has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- In prior fiscal years, Dynatrace's Shares Outstanding was 298.38 million in FY2025 (+1.5%), 294.05 million in FY2024 (+2.2%), 287.7 million in FY2023 (+1.2%) and 284.16 million in FY2022 (+1.3%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Shares Outstanding since fiscal Q1 2024.
- On a year-over-year basis, Shares Outstanding increased in seven of the last eight quarters, with growth averaging 0.6%.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was fiscal Q3 2024, with growth of 2.4%; the weakest was fiscal Q1 2027, with a decline of 2.6%.
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 300.1 million (Q4 2026), 301.13 million (Q3 2026) and 301.56 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 356.25 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 174.30 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 80.57 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 34.38 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 292.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.20 Mn |
| Mar 31, 2026 | 300.10 Mn |
| Dec 31, 2025 | 301.13 Mn |
| Sep 30, 2025 | 301.56 Mn |
| Jun 30, 2025 | 300.15 Mn |
| Mar 31, 2025 | 298.38 Mn |
| Dec 31, 2024 | 298.65 Mn |
| Sep 30, 2024 | 298.09 Mn |
| Jun 30, 2024 | 297.36 Mn |
| Mar 31, 2024 | 294.05 Mn |
| Dec 31, 2023 | 294.87 Mn |
| Sep 30, 2023 | 293.65 Mn |
| Jun 30, 2023 | 291.33 Mn |
| Mar 31, 2023 | 287.70 Mn |
| Dec 31, 2022 | 287.96 Mn |
| Sep 30, 2022 | 287.19 Mn |
| Jun 30, 2022 | 286.20 Mn |
| Mar 31, 2022 | 284.16 Mn |
| Dec 31, 2021 | 284.72 Mn |
| Sep 30, 2021 | 283.92 Mn |
API Access
Dynatrace Shares Outstanding 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=shares-outstanding&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();