Aspira Women's Health (AWHL) Short-Term Debt repayments (2015 - 2026)
Aspira Women's Health (AWHL) recorded Short-Term Debt repayments of $59,000 in Q2 2026, up 1.7% from $58,000 a year earlier and unchanged from the prior quarter.
Aspira Women's Health (AWHL) Short-Term Debt repayments (2015 - 2026) Analysis & Trends
On a TTM basis, Aspira Women's Health's Short-Term Debt repayments came in at $235,000 as of Jun 30, 2026, up 22.4% year-over-year; for FY2025, it was $233,000, up 150.5% from FY2024.
- Annual Short-Term Debt repayments has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier years, Short-Term Debt repayments came in at $93,000 in FY2024 (-37.2%), $148,000 in FY2023 (-43.3%), $261,000 in FY2022 (+31.8%) and $198,000 in FY2021 (+3.1%).
- Quarterly Short-Term Debt repayments has ranged from -$19,000 in Q3 2023 to $85,000 in Q1 2023 over the past five years.
- On a year-over-year basis, Short-Term Debt repayments has increased for four consecutive quarters, with growth averaging 56.8% over the last four quarters.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 222.2% in Q3 2025, against a decline of 38.5% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $59,000 (Q1 2026), $59,000 (Q4 2025) and $58,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 102.25 Bn | 101.69 Bn | - | - |
| 2 | Natera | 58.01 Bn | 53.69 Bn | 485.19 Mn | - |
| 3 | Labcorp Holdings | 26.62 Bn | 24.38 Bn | 1.11 Bn | 150.00 Mn |
| 4 | Quest Diagnostics | 26.61 Bn | 24.70 Bn | 1.04 Bn | - |
| 5 | Guardant Health | 22.59 Bn | 18.65 Bn | 219.03 Mn | - |
| 6 | Tenet Healthcare | 21.62 Bn | 12.76 Bn | - | - |
| 7 | Fresenius Medical Care AG | 12.67 Bn | 5.74 Bn | 1.52 Bn | -151,107.04 |
| 8 | Encompass Health | 12.25 Bn | 12.72 Bn | - | - |
| 9 | BrightSpring Health Services | 11.87 Bn | 10.21 Bn | 492.75 Mn | - |
| 10 | Aspira Women's Health | 10.26 Mn | 2.87 Mn | 1.13 Mn | 59,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59,000.00 |
| Mar 31, 2026 | 59,000.00 |
| Dec 31, 2025 | 59,000.00 |
| Sep 30, 2025 | 58,000.00 |
| Jun 30, 2025 | 58,000.00 |
| Mar 31, 2025 | 58,000.00 |
| Dec 31, 2024 | 58,000.00 |
| Sep 30, 2024 | 18,000.00 |
| Sep 30, 2023 | -19,000.00 |
| Jun 30, 2023 | 82,000.00 |
| Mar 31, 2023 | 85,000.00 |
| Dec 31, 2022 | 65,000.00 |
| Sep 30, 2022 | 65,000.00 |
| Jun 30, 2022 | 59,000.00 |
| Mar 31, 2022 | 72,000.00 |
| Dec 31, 2021 | 50,000.00 |
| Sep 30, 2021 | 49,000.00 |
| Jun 30, 2021 | 96,000.00 |
| Mar 31, 2021 | 3,000.00 |
| Dec 31, 2020 | 49,000.00 |
Aspira Women's Health Short-Term Debt repayments 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=short-term-debt-repayments&ticker=AWHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=AWHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();