Intapp (INTA) Gross Margin (2020 - 2026)
Intapp's Gross Margin was 77.89% in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 3.21 percentage points from 74.68% a year earlier and up 0.29 percentage points from the prior quarter.
Intapp (INTA) Gross Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intapp's Gross Margin was 76.60% through Sep 30, 2026, up 2.23 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it was 75.78%, up 1.79 percentage points from FY2025.
- Gross Margin has now increased for four consecutive fiscal years, with a five-year change of +10.43 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 73.98% in FY2025 (+2.71 pp), 71.28% in FY2024 (+3.04 pp), 68.23% in FY2023 (+4.65 pp) and 63.58% in FY2022 (-1.77 pp).
- The fiscal Q1 2027 figure marks the highest quarterly Gross Margin in data going back to fiscal Q1 2021.
- Compared with a year earlier, Gross Margin has increased for 17 straight quarters, with an average year-over-year change of +2.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q3 2023 (a gain of 6.36 percentage points); the worst was fiscal Q4 2022 (a drop of 2.75 percentage points).
- Per Business Quant data, INTA's Gross Margin in the three fiscal quarters before Q1 2027 was 77.60% (Q4 2026), 75.67% (Q3 2026) and 74.99% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 83.43% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 73.13% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 76.65% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 46.00% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 70.51% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 71.46% |
| 10 | Intapp | 3.35 Bn | 2.70 Bn | 125.61 Mn | 77.89% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.89% |
| Jun 30, 2026 | 77.60% |
| Mar 31, 2026 | 75.67% |
| Dec 31, 2025 | 74.99% |
| Sep 30, 2025 | 74.68% |
| Jun 30, 2025 | 74.76% |
| Mar 31, 2025 | 74.69% |
| Dec 31, 2024 | 73.21% |
| Sep 30, 2024 | 73.12% |
| Jun 30, 2024 | 73.13% |
| Mar 31, 2024 | 72.36% |
| Dec 31, 2023 | 70.40% |
| Sep 30, 2023 | 68.92% |
| Jun 30, 2023 | 67.39% |
| Mar 31, 2023 | 69.04% |
| Dec 31, 2022 | 68.37% |
| Sep 30, 2022 | 68.15% |
| Jun 30, 2022 | 64.04% |
| Mar 31, 2022 | 62.68% |
| Dec 31, 2021 | 63.59% |
Intapp Gross Margin 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=gross-margin&ticker=INTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=INTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();