Dynatrace (DT) Shares Outstanding (Diluted) (2018 - 2026)
Dynatrace (DT) reported Shares Outstanding (Diluted) of 293.74 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.4% from 304.16 million a year earlier and down 3.3% from the prior quarter.
Powered by 
Analysis
Dynatrace (DT) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Dynatrace posted Shares Outstanding (Diluted) of 303.73 million, unchanged from FY2025.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 303.6 million in FY2025 (+1.4%), 299.28 million in FY2024 (+2.6%), 291.62 million in FY2023 (+0.2%) and 290.9 million in FY2022 (+1.5%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since fiscal Q4 2023.
- Year over year, Shares Outstanding (Diluted) gained in five of the last eight quarters, with growth averaging 0.3%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q3 2024 (growth of 2.8%); the low point was fiscal Q1 2027 (a decline of 3.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 303.73 million (Q4 2026), 303.25 million (Q3 2026) and 304.3 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 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 | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | Dynatrace | 16.77 Bn | 11.99 Bn | 451.10 Mn | 293.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293.74 Mn |
| Mar 31, 2026 | 303.73 Mn |
| Dec 31, 2025 | 303.25 Mn |
| Sep 30, 2025 | 304.30 Mn |
| Jun 30, 2025 | 304.16 Mn |
| Mar 31, 2025 | 303.60 Mn |
| Dec 31, 2024 | 303.47 Mn |
| Sep 30, 2024 | 301.37 Mn |
| Jun 30, 2024 | 300.97 Mn |
| Mar 31, 2024 | 299.28 Mn |
| Dec 31, 2023 | 299.25 Mn |
| Sep 30, 2023 | 297.79 Mn |
| Jun 30, 2023 | 296.39 Mn |
| Mar 31, 2023 | 291.62 Mn |
| Dec 31, 2022 | 291.23 Mn |
| Sep 30, 2022 | 290.60 Mn |
| Jun 30, 2022 | 290.02 Mn |
| Mar 31, 2022 | 290.90 Mn |
| Dec 31, 2021 | 291.85 Mn |
| Sep 30, 2021 | 291.18 Mn |
API Access
Dynatrace Shares Outstanding (Diluted) 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-diluted&ticker=DT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();