Aquestive Therapeutics (AQST) Total Non-Current Liabilities (2017 - 2026)
Aquestive Therapeutics (AQST) recorded Total Non-Current Liabilities of $183.88 million in Q3 2026, up 11.0% from $165.61 million a year earlier and up 0.8% from the prior quarter.
Aquestive Therapeutics (AQST) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Aquestive Therapeutics reported Total Non-Current Liabilities of $186.82 million, up 17.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $159.19 million in FY2024 (-1.7%), $161.89 million in FY2023 (-6.7%), $173.59 million in FY2022 (+22.6%) and $141.64 million in FY2021 (+29.4%).
- Quarterly Total Non-Current Liabilities has ranged from $141.64 million in Q4 2021 to $186.82 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 32.0% in Q1 2022, against a decline of 6.7% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $182.51 million (Q2 2026), $169.13 million (Q1 2026) and $186.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Aquestive Therapeutics | 445.70 Mn | 24.96 Mn | 3.95 Mn | 183.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 183.88 Mn |
| Jun 30, 2026 | 182.51 Mn |
| Mar 31, 2026 | 169.13 Mn |
| Dec 31, 2025 | 186.82 Mn |
| Sep 30, 2025 | 165.61 Mn |
| Jun 30, 2025 | 164.24 Mn |
| Mar 31, 2025 | 160.95 Mn |
| Dec 31, 2024 | 159.19 Mn |
| Sep 30, 2024 | 153.35 Mn |
| Jun 30, 2024 | 151.06 Mn |
| Mar 31, 2024 | 163.80 Mn |
| Dec 31, 2023 | 161.89 Mn |
| Sep 30, 2023 | 160.36 Mn |
| Jun 30, 2023 | 161.64 Mn |
| Mar 31, 2023 | 168.46 Mn |
| Dec 31, 2022 | 173.59 Mn |
| Sep 30, 2022 | 157.51 Mn |
| Jun 30, 2022 | 150.29 Mn |
| Mar 31, 2022 | 147.81 Mn |
| Dec 31, 2021 | 141.64 Mn |
Aquestive Therapeutics 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=AQST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AQST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();