Intapp (INTA) Shares Outstanding (Diluted) (2020 - 2026)
Intapp (INTA) recorded Weighted Average Shares Outstanding (Diluted) of 76.59 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 6.5% from 81.88 million a year earlier and down 3.8% from the prior quarter.
Intapp (INTA) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Intapp reported Weighted Average Shares Outstanding (Diluted) of 79.62 million, up 1.2% from FY2025.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for six straight fiscal years, with a five-year compound annual growth rate of 23.3% (FY2021 to FY2026).
- Across earlier fiscal years, Weighted Average Shares Outstanding (Diluted) came in at 78.71 million in FY2025 (+10.1%), 71.49 million in FY2024 (+11.2%), 64.3 million in FY2023 (+4.9%) and 61.27 million in FY2022 (+119.2%).
- The fiscal Q1 2027 figure is the lowest quarterly Weighted Average Shares Outstanding (Diluted) since fiscal Q1 2025.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in six of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 155.4% in fiscal Q3 2022, against a decline of 6.5% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 79.62 million (Q4 2026), 78.87 million (Q3 2026) and 81.05 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 3.00 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 403.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.84 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 428.05 Mn |
| 10 | Intapp | 3.35 Bn | 2.70 Bn | 125.61 Mn | 76.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.59 Mn |
| Jun 30, 2026 | 79.62 Mn |
| Mar 31, 2026 | 78.87 Mn |
| Dec 31, 2025 | 81.05 Mn |
| Sep 30, 2025 | 81.88 Mn |
| Jun 30, 2025 | 78.71 Mn |
| Mar 31, 2025 | 79.89 Mn |
| Dec 31, 2024 | 78.12 Mn |
| Sep 30, 2024 | 75.60 Mn |
| Jun 30, 2024 | 71.49 Mn |
| Mar 31, 2024 | 72.63 Mn |
| Dec 31, 2023 | 70.52 Mn |
| Sep 30, 2023 | 68.94 Mn |
| Jun 30, 2023 | 64.30 Mn |
| Mar 31, 2023 | 64.33 Mn |
| Dec 31, 2022 | 63.29 Mn |
| Sep 30, 2022 | 62.86 Mn |
| Jun 30, 2022 | 61.27 Mn |
| Mar 31, 2022 | 61.56 Mn |
| Dec 31, 2021 | 60.89 Mn |
Intapp 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=INTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "INTA", "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=INTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();