Autodesk (ADSK) Asset Writedowns and Impairment (2009 - 2026)
Autodesk's (ADSK) quarterly Asset Writedowns and Impairment came in at -$19.0 million in Q1 2026, down 1050.0% quarter-over-quarter from $2.0 million in Q4 2025.
Autodesk (ADSK) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
Autodesk (ADSK) has reported Asset Writedowns and Impairment for 6 consecutive years, with -$19.0 million the latest figure, recorded in Q1 2026.
- On a quarterly basis, Asset Writedowns and Impairment changed N/A year-over-year to -$19.0 million in Q1 2026; TTM through Oct 2025 was $19.0 million, a 171.43% increase from a year earlier, with the FY2024 full-year figure at $14.0 million, down 58.82% from the prior year.
- Asset Writedowns and Impairment was -$19.0 million for Q1 2026 at Autodesk, down from $2.0 million in the prior quarter.
- Over five years, Asset Writedowns and Impairment peaked at $104.0 million in Q1 2022 and troughed at -$19.0 million in Q1 2026.
- A 5-year average of $13.8 million and a median of $7.0 million in 2022 frame the typical range for Asset Writedowns and Impairment.
- The widest YoY moves for Asset Writedowns and Impairment: up 0.0% in 2023, down 87.5% in 2023.
- Over 5 years, Asset Writedowns and Impairment stood at $12.0 million in 2022, then sank by 41.67% to $7.0 million in 2023, then changed by 0.0% to $7.0 million in 2024, then sank by 71.43% to $2.0 million in 2025, then plunged by 1050.0% to -$19.0 million in 2026.
- The last three Asset Writedowns and Impairment figures came in at -$19.0 million (Q1 2026), $2.0 million (Q4 2025), and $3.0 million (Q3 2025), 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 |
|---|---|
| Jan 31, 2026 | -19.00 Mn |
| Oct 31, 2025 | 2.00 Mn |
| Jul 31, 2025 | 3.00 Mn |
| Apr 30, 2025 | 14.00 Mn |
| Jan 31, 2024 | 7.00 Mn |
| Jul 31, 2023 | 7.00 Mn |
| Jan 31, 2023 | 13.00 Mn |
| Oct 31, 2022 | 12.00 Mn |
| Jul 31, 2022 | 7.00 Mn |
| Apr 30, 2022 | 2.00 Mn |
| Jan 31, 2022 | 104.00 Mn |
| Apr 30, 2009 | 21.00 Mn |
Autodesk Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ADSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ADSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();