Aquestive Therapeutics (AQST) Operating Expenses (2017 - 2026)
Aquestive Therapeutics (AQST) recorded Operating Expenses of $22.04 million in Q2 2026, up 3.1% from $21.37 million a year earlier and up 18.2% from the prior quarter.
Aquestive Therapeutics (AQST) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Aquestive Therapeutics' Operating Expenses came in at $106.83 million as of Jun 30, 2026, up 10.4% year-over-year; for FY2025, it was $115.6 million, up 30.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $88.33 million in FY2024 (+34.5%), $65.69 million in FY2023 (-26.8%), $89.75 million in FY2022 (+5.0%) and $85.51 million in FY2021 (-3.6%).
- Quarterly Operating Expenses has ranged from $15.38 million in Q3 2023 to $41.85 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 22.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 64.5% in Q4 2025, against a decline of 33.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.65 million (Q1 2026), $41.85 million (Q4 2025) and $24.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Aquestive Therapeutics | 586.14 Mn | 126.68 Mn | 9.80 Mn | 22.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.04 Mn |
| Mar 31, 2026 | 18.65 Mn |
| Dec 31, 2025 | 41.85 Mn |
| Sep 30, 2025 | 24.29 Mn |
| Jun 30, 2025 | 21.37 Mn |
| Mar 31, 2025 | 28.09 Mn |
| Dec 31, 2024 | 25.45 Mn |
| Sep 30, 2024 | 21.83 Mn |
| Jun 30, 2024 | 20.04 Mn |
| Mar 31, 2024 | 21.01 Mn |
| Dec 31, 2023 | 17.12 Mn |
| Sep 30, 2023 | 15.38 Mn |
| Jun 30, 2023 | 17.45 Mn |
| Mar 31, 2023 | 15.74 Mn |
| Dec 31, 2022 | 21.40 Mn |
| Sep 30, 2022 | 20.32 Mn |
| Jun 30, 2022 | 26.03 Mn |
| Mar 31, 2022 | 22.01 Mn |
| Dec 31, 2021 | 22.75 Mn |
| Sep 30, 2021 | 21.26 Mn |
Aquestive Therapeutics Operating Expenses 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=operating-expenses&ticker=AQST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AQST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();