Autodesk (ADSK) Asset Writedowns and Impairment (2009 - 2026)
Autodesk's Asset Writedowns and Impairment came in at -$19 million for fiscal Q4 2026 (quarter ended Jan 31, 2026).
Analysis
Autodesk (ADSK) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
For FY2024 (ended Jan 31, 2024), Autodesk's Asset Writedowns and Impairment was $14 million, down 58.8% from FY2023.
- Going back by fiscal year, Asset Writedowns and Impairment was $34 million in FY2023 (-67.3%) and $104 million in FY2022.
- The fiscal Q4 2026 figure represents the lowest quarterly Asset Writedowns and Impairment in data going back to fiscal Q4 2009.
- Business Quant data shows ADSK's Asset Writedowns and Impairment at $2 million (Q3 2026), $3 million (Q2 2026) and $14 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn |
Historic Data
Download Data
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 |
| Jan 31, 2009 | 128.90 Mn |
API Access
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();