American Well (AMWL) Other Operating Expenses (2019 - 2026)
American Well's Other Operating Expenses came in at $37.35 million for Q2 2026, down 28.0% from $51.89 million a year earlier and down 11.5% from the prior quarter.
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Analysis
American Well (AMWL) Other Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, American Well reported Other Operating Expenses of $169.44 million, down 25.5% year-over-year; for FY2025, it was $193.69 million, down 26.8% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $264.66 million in FY2024 (-63.2%), $718.72 million in FY2023 (+168.0%), $268.2 million in FY2022 (+16.2%) and $230.72 million in FY2021 (+3.9%).
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q3 2019.
- Year-over-year, Other Operating Expenses has declined for ten consecutive quarters, with an average decline of 29.0% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2023 (growth of 518.5%), and the weakest in Q1 2024 (a decline of 81.2%).
- Business Quant data shows AMWL's Other Operating Expenses at $42.23 million (Q1 2026), $44.56 million (Q4 2025) and $45.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | American Well | 229.84 Mn | -515.44 Mn | 27.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 55.89 Mn |
API Access
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_KEYimport 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();