Autodesk (ADSK) Exchange Rate Effect (2009 - 2026)
Autodesk's (ADSK) quarterly Exchange Rate Effect came in at -$2.0 million in Q3 2026, up 50.0% year-over-year from -$1.3 million in Q3 2025, and little changed quarter-over-quarter from -$2.0 million in Q2 2026.
Autodesk (ADSK) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Autodesk (ADSK) has reported Exchange Rate Effect for 18 consecutive years, with -$2.0 million the latest figure, recorded in Q3 2026.
- On a quarterly basis, Exchange Rate Effect rose 50.0% year-over-year to -$2.0 million in Q3 2026; TTM through Apr 2026 was -$2.0 million, a 133.33% decrease from a year earlier, with the FY2026 full-year figure at $10.0 million, up 200.0% from the prior year.
- Exchange Rate Effect was -$2.0 million for Q3 2026 at Autodesk, roughly flat from -$2.0 million in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $20.0 million in Q1 2023 and troughed at -$19.0 million in Q4 2022.
- A 5-year average of -$2.5 million and a median of -$4.0 million in 2024 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect tumbled 850.0% in 2022 and jumped 500.0% in 2023, its largest moves.
- Over 5 years, Exchange Rate Effect stood at -$19.0 million in 2022, then surged by 36.84% to -$12.0 million in 2023, then jumped by 66.67% to -$4.0 million in 2024, then jumped by 125.0% to $1.0 million in 2025, then slumped by 300.0% to -$2.0 million in 2026.
- The last three Exchange Rate Effect figures came in at -$2.0 million (Q3 2026), -$2.0 million (Q2 2026), and $3.0 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn | - |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn | -932,000.00 |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn | -2.00 Mn |
| 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 | -1.40 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn | 2.31 Mn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn | 104,000.00 |
| 10 | Open Text | 5.59 Bn | 4.63 Bn | 1.01 Bn | -3.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -2.00 Mn |
| Apr 30, 2026 | -2.00 Mn |
| Jan 31, 2026 | 3.00 Mn |
| Oct 31, 2025 | 1.00 Mn |
| Jul 31, 2025 | -4.00 Mn |
| Apr 30, 2025 | 10.00 Mn |
| Jan 31, 2025 | -6.00 Mn |
| Oct 31, 2024 | -4.00 Mn |
| Jul 31, 2024 | 6.00 Mn |
| Apr 30, 2024 | -6.00 Mn |
| Jan 31, 2024 | 6.00 Mn |
| Oct 31, 2023 | -12.00 Mn |
| Apr 30, 2023 | -8.00 Mn |
| Jan 31, 2023 | 20.00 Mn |
| Oct 31, 2022 | -19.00 Mn |
| Jul 31, 2022 | -8.00 Mn |
| Apr 30, 2022 | -15.00 Mn |
| Jan 31, 2022 | -5.00 Mn |
| Oct 31, 2021 | -2.00 Mn |
| Jul 31, 2021 | -1.00 Mn |
Autodesk Exchange Rate Effect 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=exchange-rate-effect&ticker=ADSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ADSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();