American Well (AMWL) Asset Writedowns and Impairment (2023 - 2026)
American Well (AMWL) reported Asset Writedowns and Impairment of $3.42 million for Q1 2026, compared with $125,000 a year earlier and up 447.8% from the prior quarter.
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Analysis
American Well (AMWL) Asset Writedowns and Impairment (2023 - 2026) Analysis & Trends
For FY2025, American Well posted Asset Writedowns and Impairment of $1 million, down 47.2% from FY2024.
- By year, Asset Writedowns and Impairment came in at $1.89 million in FY2024 (-99.6%) and $436.48 million in FY2023.
- The Q1 2026 figure ranks as the highest quarterly Asset Writedowns and Impairment since Q3 2023.
- Per Business Quant data, the three quarters before Q1 2026 came in at $625,000 (Q4 2025), $125,000 (Q3 2025) and $125,000 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | American Well | 210.04 Mn | -535.24 Mn | 27.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.42 Mn |
| Dec 31, 2025 | 625,000.00 |
| Sep 30, 2025 | 125,000.00 |
| Jun 30, 2025 | 125,000.00 |
| Mar 31, 2025 | 125,000.00 |
| Dec 31, 2024 | 1.89 Mn |
| Sep 30, 2023 | 78.89 Mn |
| Jun 30, 2023 | 27.28 Mn |
| Mar 31, 2023 | 330.31 Mn |
API Access
American Well 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=AMWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "AMWL", "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=AMWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();