American Well (AMWL) Total Non-Current Liabilities (2019 - 2026)
American Well's Total Non-Current Liabilities was $91.81 million in Q2 2026, down 1.1% from $92.81 million a year earlier but up 8.3% from the prior quarter.
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Analysis
American Well (AMWL) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at American Well came in at $74.92 million, down 36.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -10.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $118.55 million in FY2024 (+9.7%), $108.09 million in FY2023 (-18.2%), $132.13 million in FY2022 (-21.6%) and $168.51 million in FY2021 (+29.2%).
- Quarterly Total Non-Current Liabilities has moved between $74.92 million (Q4 2025) and $168.51 million (Q4 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for six straight quarters, with an average decline of 13.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 34.4%); the worst was Q4 2025 (a decline of 36.8%).
- Per Business Quant data, AMWL's Total Non-Current Liabilities in the three quarters before Q2 2026 was $84.79 million (Q1 2026), $74.92 million (Q4 2025) and $90.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | American Well | 222.39 Mn | -522.88 Mn | 27.56 Mn | 91.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.81 Mn |
| Mar 31, 2026 | 84.79 Mn |
| Dec 31, 2025 | 74.92 Mn |
| Sep 30, 2025 | 90.81 Mn |
| Jun 30, 2025 | 92.81 Mn |
| Mar 31, 2025 | 112.49 Mn |
| Dec 31, 2024 | 118.55 Mn |
| Sep 30, 2024 | 131.44 Mn |
| Jun 30, 2024 | 128.54 Mn |
| Mar 31, 2024 | 123.61 Mn |
| Dec 31, 2023 | 108.09 Mn |
| Sep 30, 2023 | 113.72 Mn |
| Jun 30, 2023 | 126.84 Mn |
| Mar 31, 2023 | 134.62 Mn |
| Dec 31, 2022 | 132.13 Mn |
| Sep 30, 2022 | 124.25 Mn |
| Jun 30, 2022 | 133.90 Mn |
| Mar 31, 2022 | 139.14 Mn |
| Dec 31, 2021 | 168.51 Mn |
| Sep 30, 2021 | 141.51 Mn |
API Access
American Well Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AMWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AMWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();