Intapp (INTA) Change in Accured Expenses (2020 - 2026)
Intapp's Change in Accured Expenses came in at $8.29 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 43.5% from $14.68 million a year earlier but up 23.2% from the prior quarter.
Powered by 
Analysis
Intapp (INTA) Change in Accured Expenses (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Intapp's Change in Accured Expenses was -$4.27 million.
- Going back by fiscal year, Change in Accured Expenses was $13.49 million in FY2025 (+42.9%), $9.44 million in FY2024 (+308.0%), $2.31 million in FY2023 (-85.2%) and $15.59 million in FY2022 (+46.0%).
- The five-year range for quarterly Change in Accured Expenses is -$21.87 million (fiscal Q1 2026) to $17.7 million (fiscal Q4 2022).
- Year-over-year, Change in Accured Expenses increased in two of the last five quarters, with growth averaging 41.6%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2025 (growth of 362.9%), and the weakest in fiscal Q2 2025 (a decline of 98.1%).
- Business Quant data shows INTA's Change in Accured Expenses at $6.73 million (Q3 2026), $2.58 million (Q2 2026) and -$21.87 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Intapp | 2.79 Bn | 2.02 Bn | 118.37 Mn | 8.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.29 Mn |
| Mar 31, 2026 | 6.73 Mn |
| Dec 31, 2025 | 2.58 Mn |
| Sep 30, 2025 | -21.87 Mn |
| Jun 30, 2025 | 14.68 Mn |
| Mar 31, 2025 | 6.68 Mn |
| Dec 31, 2024 | 185,000.00 |
| Sep 30, 2024 | -8.06 Mn |
| Jun 30, 2024 | 3.17 Mn |
| Mar 31, 2024 | 7.78 Mn |
| Dec 31, 2023 | 9.76 Mn |
| Sep 30, 2023 | -11.28 Mn |
| Jun 30, 2023 | 7.79 Mn |
| Mar 31, 2023 | 2.62 Mn |
| Dec 31, 2022 | 7.73 Mn |
| Sep 30, 2022 | -15.83 Mn |
| Jun 30, 2022 | 17.70 Mn |
| Mar 31, 2022 | 1.57 Mn |
| Dec 31, 2021 | 1.80 Mn |
| Sep 30, 2021 | -5.48 Mn |
API Access
Intapp Change in Accured 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=change-in-accured-expenses&ticker=INTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=INTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();