Filana Therapeutics (FLNA) Operating Expenses (2010 - 2026)
Filana Therapeutics (FLNA) posted Operating Expenses of $9.39 million for Q2 2026, down 79.3% from $45.39 million a year earlier and down 15.9% from the prior quarter.
Filana Therapeutics (FLNA) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Filana Therapeutics was $45.97 million, down 64.7% year-over-year; for FY2025, it came in at $95.39 million, down 32.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 71.4% (FY2020 to FY2025).
- In prior years, Filana Therapeutics' Operating Expenses was $141.45 million in FY2024 (+33.5%), $105.96 million in FY2023 (+32.4%), $80.02 million in FY2022 (+143.5%) and $32.87 million in FY2021 (+409.9%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q2 2021.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with an average decline of 26.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 578.7%; the weakest was Q2 2026, with a decline of 79.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $11.17 million (Q1 2026), $13.55 million (Q4 2025) and $11.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.62 Bn | 1,103.20 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 616.94 Bn | 535.47 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.32 Bn | 474.43 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 367.44 Bn | 321.82 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.20 Bn | 262.19 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.78 Bn | 235.47 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.70 Bn | 191.10 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.88 Bn | 165.07 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.72 Bn | 116.36 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Filana Therapeutics | 32.83 Mn | -338.00 Mn | - | 9.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.39 Mn |
| Mar 31, 2026 | 11.17 Mn |
| Dec 31, 2025 | 13.55 Mn |
| Sep 30, 2025 | 11.86 Mn |
| Jun 30, 2025 | 45.39 Mn |
| Mar 31, 2025 | 24.59 Mn |
| Dec 31, 2024 | 29.49 Mn |
| Sep 30, 2024 | 30.62 Mn |
| Jun 30, 2024 | 61.40 Mn |
| Mar 31, 2024 | 19.93 Mn |
| Dec 31, 2023 | 22.79 Mn |
| Sep 30, 2023 | 27.88 Mn |
| Jun 30, 2023 | 28.78 Mn |
| Mar 31, 2023 | 26.51 Mn |
| Dec 31, 2022 | 20.94 Mn |
| Sep 30, 2022 | 21.35 Mn |
| Jun 30, 2022 | 19.92 Mn |
| Mar 31, 2022 | 17.82 Mn |
| Dec 31, 2021 | 14.44 Mn |
| Sep 30, 2021 | 9.75 Mn |
Filana 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=FLNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FLNA", "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=FLNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();