Intapp (INTA) Change in Accrued Expenses (2020 - 2026)
Intapp's Change in Accrued Expenses came in at -$27.89 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with -$21.87 million a year earlier.
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Analysis
Intapp (INTA) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Intapp reported Change in Accrued Expenses of -$10.29 million; for FY2026 (ended Jun 30, 2026), it was -$4.27 million.
- Going back by fiscal year, Change in Accrued 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 fiscal Q1 2027 figure represents the lowest quarterly Change in Accrued Expenses in data going back to fiscal Q1 2021.
- Year-over-year, Change in Accrued Expenses increased in two of the last five quarters, with growth averaging 41.6%.
- The fastest year-over-year change in Change in Accrued 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 Accrued Expenses at $8.29 million (Q4 2026), $6.73 million (Q3 2026) and $2.58 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 116.14 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | -1.08 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 791.49 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 891.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -389.40 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 37.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -4.08 Mn |
| 10 | Intapp | 3.35 Bn | 2.70 Bn | 125.61 Mn | -27.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -27.89 Mn |
| 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 |
API Access
Intapp Change in Accrued 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();