Intapp (INTA) Accumulated Expenses (2021 - 2026)
Intapp (INTA) posted Accumulated Expenses of $6.66 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 21.7% from $8.51 million a year earlier and down 31.1% from the prior quarter.
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Analysis
Intapp (INTA) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Intapp's Accumulated Expenses came in at $9.67 million, down 23.6% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- In prior fiscal years, Intapp's Accumulated Expenses was $12.65 million in FY2025 (+5.0%), $12.04 million in FY2024 (+3.6%), $11.63 million in FY2023 (+32.5%) and $8.77 million in FY2022 (-11.8%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Accumulated Expenses since fiscal Q2 2022.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last five quarters, with an average decline of 15.3% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2024, with growth of 75.9%; the weakest was fiscal Q2 2025, with a decline of 42.1%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $9.67 million (Q4 2026), $7.31 million (Q3 2026) and $7.17 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | Intapp | 3.35 Bn | 2.70 Bn | 125.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.66 Mn |
| Jun 30, 2026 | 9.67 Mn |
| Mar 31, 2026 | 7.31 Mn |
| Dec 31, 2025 | 7.17 Mn |
| Sep 30, 2025 | 8.51 Mn |
| Jun 30, 2025 | 12.65 Mn |
| Mar 31, 2025 | 10.74 Mn |
| Dec 31, 2024 | 7.27 Mn |
| Sep 30, 2024 | 8.60 Mn |
| Jun 30, 2024 | 12.04 Mn |
| Mar 31, 2024 | 11.42 Mn |
| Dec 31, 2023 | 12.55 Mn |
| Sep 30, 2023 | 13.37 Mn |
| Jun 30, 2023 | 11.63 Mn |
| Mar 31, 2023 | 9.75 Mn |
| Dec 31, 2022 | 7.92 Mn |
| Sep 30, 2022 | 7.60 Mn |
| Jun 30, 2022 | 8.77 Mn |
| Mar 31, 2022 | 7.22 Mn |
| Dec 31, 2021 | 6.54 Mn |
API Access
Intapp Accumulated 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=accumulated-expenses&ticker=INTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();