American Well (AMWL) Other Operating Expenses (2019 - 2026)
American Well (AMWL) posted Other Operating Expenses of $16.88 million for Q3 2026, down 39.0% from $27.66 million a year earlier but up 4.2% from the prior quarter.
American Well (AMWL) Other Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Other Operating Expenses at American Well was $76.23 million, down 40.1% year-over-year; for FY2025, it was $116.13 million, down 28.5% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In prior years, American Well's Other Operating Expenses was $162.34 million in FY2024 (-74.2%), $628.77 million in FY2023 (+185.7%), $220.12 million in FY2022 (+27.4%) and $172.75 million in FY2021 (+23.8%).
- Quarterly Other Operating Expenses has run from a low of $16.2 million in Q2 2026 to a high of $378.96 million in Q1 2023 over five years.
- On a year-over-year basis, Other Operating Expenses has declined in each of the last 12 quarters, with an average decline of 33.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2023, with growth of 546.3%; the weakest was Q1 2024, with a decline of 86.2%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $16.2 million (Q2 2026), $20.12 million (Q1 2026) and $23.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn |
| 10 | American Well | 204.55 Mn | -533.72 Mn | 25.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.56 Mn |
| Jun 30, 2026 | 37.35 Mn |
| Mar 31, 2026 | 42.23 Mn |
| Dec 31, 2025 | 44.56 Mn |
| Sep 30, 2025 | 45.30 Mn |
| Jun 30, 2025 | 51.89 Mn |
| Mar 31, 2025 | 51.95 Mn |
| Dec 31, 2024 | 60.21 Mn |
| Sep 30, 2024 | 63.44 Mn |
| Jun 30, 2024 | 65.90 Mn |
| Mar 31, 2024 | 75.12 Mn |
| Dec 31, 2023 | 76.90 Mn |
| Sep 30, 2023 | 148.00 Mn |
| Jun 30, 2023 | 94.79 Mn |
| Mar 31, 2023 | 399.03 Mn |
| Dec 31, 2022 | 75.35 Mn |
| Sep 30, 2022 | 66.40 Mn |
| Jun 30, 2022 | 61.94 Mn |
| Mar 31, 2022 | 64.52 Mn |
| Dec 31, 2021 | 71.72 Mn |
American Well Other Operating Expenses 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=other-operating-expenses&ticker=AMWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=AMWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();