Aspira Women's Health (AWHL) Total Non-Current Liabilities (2009 - 2026)
Aspira Women's Health (AWHL) reported Total Non-Current Liabilities of $7.44 million for Q2 2026, up 16.7% from $6.38 million a year earlier but down 1.2% from the prior quarter.
Aspira Women's Health (AWHL) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Aspira Women's Health posted Total Non-Current Liabilities of $5.51 million, down 31.0% from FY2024.
- Total Non-Current Liabilities has a three-year compound annual growth rate of -12.1% (FY2022 to FY2025).
- By year, Total Non-Current Liabilities came in at $7.99 million in FY2024 (+14.6%), $6.98 million in FY2023 (-14.0%) and $8.11 million in FY2022.
- Five-year quarterly Total Non-Current Liabilities spans a low of $5.51 million in Q4 2025 and a high of $10.02 million in Q3 2022.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2024 (growth of 25.3%); the low point was Q3 2023 (a decline of 32.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.53 million (Q1 2026), $5.51 million (Q4 2025) and $6.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 105.29 Bn | 103.13 Bn | 17.03 Bn | - |
| 2 | Natera | 46.06 Bn | 41.68 Bn | 513.47 Mn | 642.92 Mn |
| 3 | Labcorp Holdings | 30.09 Bn | 28.19 Bn | 1.11 Bn | 9.35 Bn |
| 4 | Quest Diagnostics | 28.58 Bn | 26.66 Bn | 1.04 Bn | 8.01 Bn |
| 5 | Guardant Health | 20.44 Bn | 16.05 Bn | 236.15 Mn | 2.04 Bn |
| 6 | BrightSpring Health Services | 14.16 Bn | 11.04 Bn | 518.55 Mn | 68.23 Mn |
| 7 | Encompass Health | 13.83 Bn | 14.29 Bn | 1.54 Bn | 3.84 Bn |
| 8 | Tempus AI | 12.69 Bn | 9.84 Bn | 266.70 Mn | 1.90 Bn |
| 9 | Davita | 11.06 Bn | 9.92 Bn | 1.13 Bn | 18.31 Bn |
| 10 | Aspira Women's Health | 7.93 Mn | 542,736.56 | 1.13 Mn | 7.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.44 Mn |
| Mar 31, 2026 | 7.53 Mn |
| Dec 31, 2025 | 5.51 Mn |
| Sep 30, 2025 | 6.36 Mn |
| Jun 30, 2025 | 6.38 Mn |
| Mar 31, 2025 | 6.16 Mn |
| Dec 31, 2024 | 7.99 Mn |
| Sep 30, 2024 | 7.19 Mn |
| Jun 30, 2024 | 8.69 Mn |
| Mar 31, 2024 | 7.13 Mn |
| Dec 31, 2023 | 6.98 Mn |
| Sep 30, 2023 | 6.81 Mn |
| Jun 30, 2023 | 6.94 Mn |
| Mar 31, 2023 | 8.37 Mn |
| Dec 31, 2022 | 10.64 Mn |
| Sep 30, 2022 | 12.76 Mn |
| Dec 31, 2021 | 8.59 Mn |
| Jun 30, 2020 | 5.81 Mn |
| Mar 31, 2020 | 5.04 Mn |
| Dec 31, 2019 | 5.08 Mn |
Aspira Women's Health 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=AWHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AWHL", "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=AWHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();