Intuit (INTU) Change in Accured Expenses (2009 - 2026)
Intuit's Change in Accured Expenses was $304 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 178.9% from $109 million a year earlier and up 382.5% from the prior quarter.
Intuit (INTU) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Change in Accured Expenses at Intuit came in at $202 million.
- In earlier fiscal years, Change in Accured Expenses was -$64 million in FY2025, $257 million in FY2024 (+192.0%), $88 million in FY2023 and -$357 million in FY2022.
- The fiscal Q4 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to fiscal Q2 2009.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last six quarters, with growth averaging 25.3%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q4 2024 (growth of 451.2%); the worst was fiscal Q4 2025 (a decline of 54.0%).
- Per Business Quant data, INTU's Change in Accured Expenses in the three fiscal quarters before Q4 2026 was $63 million (Q3 2026), $213 million (Q2 2026) and -$378 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | -1.08 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -354.52 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 304.00 Mn |
| Apr 30, 2026 | 63.00 Mn |
| Jan 31, 2026 | 213.00 Mn |
| Oct 31, 2025 | -378.00 Mn |
| Jul 31, 2025 | 109.00 Mn |
| Apr 30, 2025 | 127.00 Mn |
| Jan 31, 2025 | 207.00 Mn |
| Oct 31, 2024 | -507.00 Mn |
| Jul 31, 2024 | 237.00 Mn |
| Apr 30, 2024 | 139.00 Mn |
| Jan 31, 2024 | 113.00 Mn |
| Oct 31, 2023 | -232.00 Mn |
| Jul 31, 2023 | 43.00 Mn |
| Apr 30, 2023 | 120.00 Mn |
| Jan 31, 2023 | 100.00 Mn |
| Oct 31, 2022 | -175.00 Mn |
| Jul 31, 2022 | 35.00 Mn |
| Apr 30, 2022 | 131.00 Mn |
| Jan 31, 2022 | -311.00 Mn |
| Oct 31, 2021 | -212.00 Mn |
Intuit 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=INTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "INTU", "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=INTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();