Intuit (INTU) Operating Expenses (2009 - 2026)
Intuit's Operating Expenses was $3.88 billion in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 11.1% from $3.49 billion a year earlier but down 14.5% from the prior quarter.
Intuit (INTU) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Operating Expenses at Intuit came in at $15.56 billion, up 11.9% from FY2025.
- Operating Expenses has now increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $13.91 billion in FY2025 (+9.9%), $12.66 billion in FY2024 (+12.7%), $11.23 billion in FY2023 (+10.6%) and $10.16 billion in FY2022 (+42.4%).
- Quarterly Operating Expenses has moved between $1.81 billion (fiscal Q1 2022) and $4.54 billion (fiscal Q3 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for 23 straight quarters, with growth averaging 11.0% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.1% (fiscal Q3 2023) and 63.5% (fiscal Q2 2022) over the last five years.
- Per Business Quant data, INTU's Operating Expenses in the three fiscal quarters before Q4 2026 was $4.54 billion (Q3 2026), $3.8 billion (Q2 2026) and $3.35 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 845.28 Mn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 12.62 Bn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 8.45 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 6.37 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 4.18 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 2.51 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | -20.82 Bn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | 1.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.88 Bn |
| Apr 30, 2026 | 4.54 Bn |
| Jan 31, 2026 | 3.80 Bn |
| Oct 31, 2025 | 3.35 Bn |
| Jul 31, 2025 | 3.49 Bn |
| Apr 30, 2025 | 4.03 Bn |
| Jan 31, 2025 | 3.37 Bn |
| Oct 31, 2024 | 3.01 Bn |
| Jul 31, 2024 | 3.34 Bn |
| Apr 30, 2024 | 3.63 Bn |
| Jan 31, 2024 | 3.02 Bn |
| Oct 31, 2023 | 2.67 Bn |
| Jul 31, 2023 | 2.70 Bn |
| Apr 30, 2023 | 3.24 Bn |
| Jan 31, 2023 | 2.77 Bn |
| Oct 31, 2022 | 2.52 Bn |
| Jul 31, 2022 | 2.49 Bn |
| Apr 30, 2022 | 3.24 Bn |
| Jan 31, 2022 | 2.62 Bn |
| Oct 31, 2021 | 1.81 Bn |
Intuit 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=INTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=INTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();