Autodesk (ADSK) Operating Expenses (2009 - 2026)
Autodesk (ADSK) reported Operating Expenses of $1.27 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 9.6% from $1.16 billion a year earlier and up 4.4% from the prior quarter.
Autodesk (ADSK) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Autodesk's Operating Expenses came in at $5.07 billion, up 10.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $4.98 billion, up 18.6% from FY2025.
- Operating Expenses has increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 12.0% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $4.2 billion in FY2025 (+8.8%), $3.86 billion in FY2024 (+9.1%), $3.54 billion in FY2023 (+5.6%) and $3.35 billion in FY2022 (+18.6%).
- Five-year quarterly Operating Expenses spans a low of $825 million in fiscal Q3 2022 and a high of $1.36 billion in fiscal Q4 2026.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 13.1%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2026 (growth of 26.4%); the low point was fiscal Q4 2023 (a decline of 4.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.22 billion (Q1 2027), $1.36 billion (Q4 2026) and $1.22 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 1.27 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 641.32 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | 691.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.27 Bn |
| Apr 30, 2026 | 1.22 Bn |
| Jan 31, 2026 | 1.36 Bn |
| Oct 31, 2025 | 1.22 Bn |
| Jul 31, 2025 | 1.16 Bn |
| Apr 30, 2025 | 1.24 Bn |
| Jan 31, 2025 | 1.12 Bn |
| Oct 31, 2024 | 1.08 Bn |
| Jul 31, 2024 | 1.02 Bn |
| Apr 30, 2024 | 981.00 Mn |
| Jan 31, 2024 | 1.02 Bn |
| Oct 31, 2023 | 953.00 Mn |
| Jul 31, 2023 | 956.00 Mn |
| Apr 30, 2023 | 925.00 Mn |
| Jan 31, 2023 | 917.00 Mn |
| Oct 31, 2022 | 904.00 Mn |
| Jul 31, 2022 | 876.00 Mn |
| Apr 30, 2022 | 839.00 Mn |
| Jan 31, 2022 | 956.00 Mn |
| Oct 31, 2021 | 825.00 Mn |
Autodesk 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=ADSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ADSK", "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=ADSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();