Intuit (INTU) Operating Expenses (2009 - 2026)
Intuit's (INTU) quarterly Operating Expenses came in at $3.9 billion in Q3 2026, up 11.08% year-over-year from $3.5 billion in Q3 2025, and down 14.52% on a QoQ basis from $4.5 billion in Q2 2026.
Intuit (INTU) Operating Expenses (2009 - 2026) Analysis & Trends
Intuit (INTU) has 18 years of Operating Expenses data on file, last reported at $3.9 billion in Q3 2026.
- On a quarterly basis, Operating Expenses rose 11.08% year-over-year to $3.9 billion in Q3 2026; TTM through Jul 2026 was $15.6 billion, a 11.91% increase from a year earlier, with the FY2026 full-year figure at $15.6 billion, up 11.91% from the prior year.
- Operating Expenses for Q3 2026 stood at $3.9 billion, down from $4.5 billion in the prior quarter.
- Across five years, Operating Expenses topped out at $4.5 billion in Q2 2026 and bottomed at $2.5 billion in Q3 2022.
- Historically, Operating Expenses has averaged $3.2 billion across 5 years, with a median of $3.2 billion in 2023.
- The widest annual swing landed in 2022, when Operating Expenses surged 63.46%; it then advanced 0.09% in 2023.
- Year by year, Operating Expenses stood at $2.5 billion in 2022, then rose by 5.95% to $2.7 billion in 2023, then increased by 12.77% to $3.0 billion in 2024, then gained by 11.25% to $3.4 billion in 2025, then gained by 15.76% to $3.9 billion in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $3.9 billion in Q3 2026, $4.5 billion in Q2 2026, and $3.8 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 12.62 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 3.88 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 2.34 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();