Aquestive Therapeutics (AQST) Net Long-Term Debt Issued (Repaid) (2019 - 2026)
Aquestive Therapeutics' Net Long-Term Debt Issued (Repaid) was $18,000 in Q3 2026, up 28.6% from $14,000 a year earlier.
Aquestive Therapeutics (AQST) Net Long-Term Debt Issued (Repaid) (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aquestive Therapeutics' Net Long-Term Debt Issued (Repaid) was -$45.03 million through Sep 30, 2026; for FY2025, it was -$26,000.
- In earlier years, Net Long-Term Debt Issued (Repaid) was -$23,000 in FY2024 and -$20.39 million in FY2023.
- The Q3 2026 figure marks the highest quarterly Net Long-Term Debt Issued (Repaid) since Q4 2020.
- Per Business Quant data, AQST's Net Long-Term Debt Issued (Repaid) in the three quarters before Q3 2026 was -$45.01 million (Q2 2026), -$8,000 (Q1 2026) and -$26,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | Aquestive Therapeutics | 445.70 Mn | 24.96 Mn | 3.95 Mn | 18,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18,000.00 |
| Jun 30, 2026 | -45.01 Mn |
| Mar 31, 2026 | -8,000.00 |
| Jun 30, 2025 | -8,000.00 |
| Mar 31, 2025 | -6,000.00 |
| Mar 31, 2023 | -9.09 Mn |
| Dec 31, 2020 | 27.50 Mn |
| Sep 30, 2019 | -49.45 Mn |
Aquestive Therapeutics Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=AQST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "AQST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=AQST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();