Autodesk (ADSK) EV to EBITDA (2009 - 2026)
Autodesk's (ADSK) quarterly EV to EBITDA came in at 74.78 in Q3 2026, down 46.73% year-over-year from 140.37 in Q3 2025, and down 14.08% quarter-over-quarter from 87.03 in Q2 2026.
Autodesk (ADSK) EV to EBITDA (2009 - 2026) Analysis & Trends
Autodesk (ADSK) has reported EV to EBITDA for 18 consecutive years, with 74.78 the latest figure, recorded in Q3 2026.
- On a quarterly basis, EV to EBITDA fell 46.73% year-over-year to 74.78 in Q3 2026; TTM through Jul 2026 was 21.95, a 51.09% decrease from a year earlier, with the FY2026 full-year figure at 32.33, down 32.39% from the prior year.
- EV to EBITDA was 74.78 for Q3 2026 at Autodesk, down from 87.03 in the prior quarter.
- Over five years, EV to EBITDA peaked at 368.81 in Q1 2022 and troughed at 74.78 in Q3 2026.
- A 5-year average of 165.59 and a median of 165.05 in 2023 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA surged 65.27% in 2025 and tumbled 64.2% in 2026, its largest moves.
- Over 5 years, EV to EBITDA stood at 173.57 in 2022, then sank by 30.45% to 120.72 in 2023, then soared by 41.97% to 171.4 in 2024, then dropped by 23.54% to 131.05 in 2025, then tumbled by 42.94% to 74.78 in 2026.
- The last three EV to EBITDA figures came in at 74.78 (Q3 2026), 87.03 (Q2 2026), and 118.36 (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn |
| 4 | Twilio | 44.64 Bn | 41.99 Bn | 725.87 Mn |
| 5 | Zoom Communications | 26.86 Bn | 19.62 Bn | 985.50 Mn |
| 6 | Figma | 11.55 Bn | 9.88 Bn | 309.61 Mn |
| 7 | Dropbox | 7.52 Bn | 6.40 Bn | 506.50 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn |
| 10 | Open Text | 5.59 Bn | 4.63 Bn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.41 |
| Apr 30, 2026 | 17.46 |
| Jan 31, 2026 | 22.09 |
| Oct 31, 2025 | 28.73 |
| Jul 31, 2025 | 32.39 |
| Apr 30, 2025 | 32.50 |
| Jan 31, 2025 | 37.08 |
| Oct 31, 2024 | 35.88 |
| Jul 31, 2024 | 31.85 |
| Apr 30, 2024 | 29.19 |
| Jan 31, 2024 | 37.01 |
| Oct 31, 2023 | 30.41 |
| Jul 31, 2023 | 35.59 |
| Apr 30, 2023 | 33.85 |
| Jan 31, 2023 | 38.79 |
| Oct 31, 2022 | 44.35 |
| Jul 31, 2022 | 47.85 |
| Apr 30, 2022 | 46.46 |
| Jan 31, 2022 | 68.85 |
| Oct 31, 2021 | 84.54 |
Autodesk EV to EBITDA 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=ev-to-ebitda&ticker=ADSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=ADSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();