Intapp (INTA) Operating Expenses (2020 - 2026)
Intapp (INTA) recorded Operating Expenses of $122.59 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 16.6% from $105.17 million a year earlier but down 1.7% from the prior quarter.
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Analysis
Intapp (INTA) Operating Expenses (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Intapp reported Operating Expenses of $477.95 million, up 19.4% from FY2025.
- Annual Operating Expenses has increased for six straight fiscal years, with a five-year compound annual growth rate of 24.0% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $400.33 million in FY2025 (+18.1%), $339.05 million in FY2024 (+9.8%), $308.67 million in FY2023 (+13.3%) and $272.44 million in FY2022 (+66.9%).
- Quarterly Operating Expenses has ranged from $63.45 million in fiscal Q1 2022 to $124.76 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 20 consecutive quarters, with growth averaging 18.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 7.0% in fiscal Q3 2024 to 80.1% in fiscal Q3 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $124.76 million (Q3 2026), $112.32 million (Q2 2026) and $118.29 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Intapp | 2.71 Bn | 1.93 Bn | 118.37 Mn | 122.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.59 Mn |
| Mar 31, 2026 | 124.76 Mn |
| Dec 31, 2025 | 112.32 Mn |
| Sep 30, 2025 | 118.29 Mn |
| Jun 30, 2025 | 105.17 Mn |
| Mar 31, 2025 | 102.11 Mn |
| Dec 31, 2024 | 98.92 Mn |
| Sep 30, 2024 | 94.13 Mn |
| Jun 30, 2024 | 83.34 Mn |
| Mar 31, 2024 | 87.50 Mn |
| Dec 31, 2023 | 84.25 Mn |
| Sep 30, 2023 | 83.97 Mn |
| Jun 30, 2023 | 76.21 Mn |
| Mar 31, 2023 | 81.78 Mn |
| Dec 31, 2022 | 77.34 Mn |
| Sep 30, 2022 | 73.35 Mn |
| Jun 30, 2022 | 71.20 Mn |
| Mar 31, 2022 | 72.36 Mn |
| Dec 31, 2021 | 65.44 Mn |
| Sep 30, 2021 | 63.45 Mn |
API Access
Intapp Operating Expenses 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-expenses&ticker=INTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=INTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();