Intapp (INTA) Operating Margin (2020 - 2026)
Intapp (INTA) recorded Operating Margin of -0.66% in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 9.74 percentage points from -10.40% a year earlier and up 2.11 percentage points from the prior quarter.
Intapp (INTA) Operating Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Intapp's Operating Margin came in at -4.45% as of Sep 30, 2026, up 2.14 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it came in at -6.94%, down 1.51 percentage points from FY2025.
- Annual Operating Margin has a five-year change of +3.76 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Operating Margin came in at -5.43% in FY2025 (+2.05 pp), -7.48% in FY2024 (+12.26 pp), -19.74% in FY2023 (+16.82 pp) and -36.56% in FY2022 (-25.86 pp).
- The fiscal Q1 2027 figure is the highest quarterly Operating Margin since fiscal Q4 2024.
- On a year-over-year basis, Operating Margin rose in five of the last eight quarters, with an average year-over-year change of +0.62 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 21.37 percentage points in fiscal Q3 2023, against a drop of 33.74 percentage points in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -2.77% (Q4 2026), -9.76% (Q3 2026) and -5.12% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 34.78% |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 16,670.89% |
| 10 | Intapp | 3.35 Bn | 2.70 Bn | 125.61 Mn | -0.66% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.66% |
| Jun 30, 2026 | -2.77% |
| Mar 31, 2026 | -9.76% |
| Dec 31, 2025 | -5.12% |
| Sep 30, 2025 | -10.40% |
| Jun 30, 2025 | -3.12% |
| Mar 31, 2025 | -4.42% |
| Dec 31, 2024 | -8.40% |
| Sep 30, 2024 | -6.11% |
| Jun 30, 2024 | 0.26% |
| Mar 31, 2024 | -6.73% |
| Dec 31, 2023 | -10.66% |
| Sep 30, 2023 | -13.75% |
| Jun 30, 2023 | -13.15% |
| Mar 31, 2023 | -19.83% |
| Dec 31, 2022 | -22.94% |
| Sep 30, 2022 | -24.07% |
| Jun 30, 2022 | -30.23% |
| Mar 31, 2022 | -41.19% |
| Dec 31, 2021 | -37.56% |
Intapp Operating 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=operating-margin&ticker=INTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=INTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();